Data Analyst jobs in Tel Aviv-Yafo

Job Description As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment. In your day-to-day, you will: • Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization • Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights • Challenge the “why” and “how” of product features, driving data-informed decisions that shape the product roadmap • Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments • Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership • Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation Qualifications • 5+ years of experience as a Product Analyst or Data Analyst focusing on product analytics (preferably in a fast-paced B2B/B2C SaaS or Tech company) • Proven hands-on experience with AI tools and LLMs (e.g., Claude, OpenAI) for analytical workflow enhancement, automated scripting, or data exploration • Deep understanding of product analytics frameworks: user funnels, onboarding optimization, cohort analysis, A/B testing/experimentation, feature adoption, and retention curves • Strong proficiency in SQL and data manipulation tools (Python) • Experience with product analytics and event-tracking platforms (e.g., Amplitude, Mixpanel, Heap) • Exceptional business acumen- ability to connect complex product usage data to core business outcomes and tell compelling data stories • High attention to detail with a track record of delivering accurate, actionable, and impact-driven insights • Comfortable in an agile, fast-paced environment, collaborating seamlessly with Product Managers, Engineers, and UX Designers Additional Information We’re Base44, a newly acquired part of Wix dedicated to revolutionizing software development. Our AI-powered platform enables anyone to create custom software applications using natural language, eliminating the need for traditional coding. Operating as a startup within Wix, we embrace a fast-paced, collaborative environment, solving complex challenges with simple, innovative solutions. Base44 exists to empower creators, solo founders, startups, entrepreneurs, and side hustlers to turn their ideas into reality. Whether it’s launching a product, testing a concept, or exploring an idea, Base44 is here to help make it happen. Customer Care is Wix's first-line, user-facing team, dedicated to helping users solve problems, explore opportunities, and achieve success. We also serve as the voice of the user, delivering insights to improve Wix's products and user experiences.

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We are looking for a sharp and passionate Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that you'll then see implemented. We encourage the use of AI tools and expect our Data Analysts to leverage them alongside strong hands-on analytical skills. Responsibilities Use statistical and mathematical methods to recommend new ways to optimize and maximize player retention and game revenue. Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert. Build dashboards and reports to facilitate understanding of key business metrics and players' experience. Work closely with developers and product teams to execute new features and processes that optimize user experience. Requirements Minimum of 4 years experience in business analysis, product analysis, or a related field. At least 4+ years' experience in B2C analyzing large datasets centric role B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background. Strong SQL with experience in querying large complex data sets - must have. Strong statistical and mathematical background - Advantage Vast knowledge in A/B testing including statistical methods Hands-on experience using AI tools for analytics. Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams. Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) - Advantage.

Appcharge is a leading direct-to-consumer platform for app publishers. We help publishers sell digital goods directly to their users – bypassing traditional app store commissions and owning the full payment and commerce experience. The result: higher margins, better flexibility, and a more direct relationship with end users. Backed by $89M from leading investors and operators, we've grown 14x in the past year and now process over a billion dollars annually. We're building the infrastructure that lets modern app businesses take back control of monetization – at scale. Responsibilities Own and define key product, business, and customer KPIs across the company Analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points Build and maintain dashboards and reports that give teams clear, reliable visibility into performance Partner with Product and Business to evaluate new features, initiatives, and experiments, and measure their impact Drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data-informed decision-making. Work closely with engineering and data stakeholders to improve data quality, structure, and accessibility Help foster a data-driven culture by making insights understandable and actionable for non-technical stakeholders Requirements 4+ years of experience as a Data Analyst / Business Analyst - Must Strong hands-on experience with SQL - Must Experience working with BI / visualization tools (e.g. Looker, Tableau, Power BI, Metabase, or similar) Proven track record of translating data into clear business insights and recommendations Experience in gaming or B2C user-centric products - Must – strong focus on user behavior analysis, conversion funnels, and feature performance. Strong analytical skills, including working with large datasets and complex models Excellent communication skills, with the ability to simplify complex findings for different audiences Self-driven, curious, and comfortable working in a dynamic, high-growth startup Experience with Python for data analysis (e.g. pandas, notebooks) and/or AI-based tools for analytics (e.g. AI copilots, LLM-powered analysis) - Advantage

About this role Mize provides AI-driven revenue infrastructure for travel companies. Our technology enhances every step of the booking cycle and every vertical you sell. By combining predictive algorithms, synthetic availability, dynamic liquidity and a powerful rules engine, Mize helps travel brands unlock new revenue, stabilize their margins and scale their operations. With 10 years in the industry, founded in 2016 and headquartered in Tel Aviv, Mize supports 350+ clients worldwide and has generated hundreds of millions in incremental profit for the travel industry. We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities. Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center. Responsibilities: Analyze data in our flagship product to uncover trends and deliver actionable insights. Build and maintain BI dashboards and reports for decision-making. Design efficient processes and standards for streamlined operations. Translate business questions into clear, measurable analyses. Ensure data quality through risk evaluation and QA practices. Monitor operational performance and recommend improvements. Integrate and manage data structures to support growth and scalability. What we're looking for 3+ years proven experience as a Data Analyst. Proficient in SQL and Excel; experienced with BI tools. Strong background in data analytics and reporting. Excellent analytical skills with the ability to work independently and under tight deadlines. Advanced English communication skills. Curious, eager to learn, and resilient—able to grow from mistakes. Skilled at understanding complex flows and providing creative solutions. Multi-tasking, self-driven, highly motivated, and strong team player. Experience working within the Travel-tech industry is a big plus.

Who We are DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you have ever seen an Ad online via a web, mobile, or CTV device, then there are great chances that it was analyzed and measured by us. We operate at a massive scale; our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in less than a fraction of a second. We are global and have R&D centers in Tel Aviv, New York, Helsinki, Ghent, and Paris. We work in a fast-paced environment and face many challenges to solve. If you like to solve big data challenges and want to help us build a better industry, then your place is with us! What You’ll Do The Senior Product Analyst is a key player in the Product department and helps drive data-driven decisions across different product domains. The Senior Product Analyst role includes bridging our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems querying and analyzing data, evaluating feature alternatives, designing experiments, and planning and creating dashboards. The individual in this role will work directly with Product Managers to support product decision questions and analyses. This role owns the Classification & Brand Safety analytics domain for Open Web — the content ontology, site/page classification pipelines, and brand-safety suitability metrics that underpin our brand safety product suite. It also carries an explicit mandate to grow the team's analytics engineering maturity and to help design the next generation of AI-assisted / agentic analytics workflows that are replacing purely manual, reactive reporting and support. This role is part of a professional Product Analysis group supporting core products serving advertisers and publishers across the digital landscape. The role requires big data analysis, attention to detail, business understanding, and strong product intuition. Communication skills are incredibly important, as the position interfaces across functions and geographies. Job Responsibilities • Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations. • Communicating state of business, experiment results, etc. to product, data science and engineering teams. • Defining and monitoring key product metrics & system health, conducting root cause analyses. • Asking business and product-relevant questions and answering them with data. • Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues. • Supporting and extending internal AI-driven recommendation systems for brand safety insights ; building the underlying data foundations, decision matrices, and parameterized SQL libraries that power agentic/conversational reporting tools, and helping identify and mitigate failure modes (e.g., hallucinations and AI Slop) in these agentic flows. • Building, testing, and maintaining analytics-engineering-grade data pipelines. • Leading or supporting high-visibility client escalations and QBRs with the Operations team (e.g., major advertiser recall/precision reviews), translating methodology into clear, defensible findings for external and internal stakeholders. Who You Are • BA/BSc degree. • 5+ years of experience with quantitative analysis. • Extensive hands-on experience with SQL • Hands-on experience with Python (for data manipulation), Excellent understanding of statistics (e.g., hypothesis testing, regression types). • Hands-on experience with, or strong motivation to develop, analytics engineering skills — building and maintaining DBT models (or equivalent), including staging/intermediate/mart layering, tests, and documentation. • Capable of working simultaneously on multiple tasks. • Comfort working with large-scale cloud data warehouses (Databricks, BigQuery, Snowflake) and BI/semantic layers (Looker/LookML). • Working familiarity with AI/LLM-assisted analytics workflows — e.g., using AI coding assistants (Claude Code, Cursor) for query and pipeline development, and a basic understanding of the difference between deterministic metric logic and probabilistic agentic systems, including their failure modes (hallucinations, prompt drift etc.) • Excellent verbal and written communication skills in English. Preferred Qualifications • BA/BSc in a quantitative field: Statistics / Mathematics/ Economics /Computer Science, Physics/ Biology/ Psychology/ Chemistry/ Engineering, or other technical fields. • MA in a quantitative field • Hands-on dbt project experience (models, tests, macros, CI/CD via GitLab) and familiarity with analytics engineering best practices (semantic layer design, gold-table modeling, data quality/QA frameworks). • Experience designing or contributing to agentic/AI-assisted reporting tools (e.g., data contracts for LLM-driven report or recommendation generation, prompt design, retrieval pipelines). • Experience with Git-based version control and CI/CD for analytics code (GitLab CI/CD or similar).

Are you passionate about using data to shape products played by millions of people around the world? Do you enjoy uncovering player insights, designing experiments, and influencing product decisions with data? If so, we'd love to meet you! We're looking for a Senior Product Analyst to help shape the future of Stumble Guys, one of the world's leading mobile games. You'll join a team of Product Analysts and Analytics Engineers, partnering closely with Product Managers, Game Designers, Data Engineers, and Developers to turn player behavior into actionable insights. From event instrumentation and data modeling to A/B testing and deep-dive analyses, you'll help answer our most challenging product questions and directly influence the future of the game. If you're excited about working on a game played by millions of daily active users (just ask your younger cousins - they're probably already playing!), we'd love to hear from you! We also work with a modern analytics stack including Google Cloud Platform, BigQuery, Looker and Hex. What You Will Do • Analyze large and complex datasets to understand the behavior of millions of players and answer strategic product questions. • Partner closely with Product, Game Design, Engineering, Marketing, and Leadership to drive data-informed decisions. • Design, analyze, and communicate A/B tests to evaluate new features and optimize player experiences. • Develop frameworks, dashboards, and analytical tools that empower teams to make better product decisions. • Generate actionable insights that improve player engagement, retention, monetization, and overall game performance. • Define and validate event tracking to ensure high-quality product analytics. • Present findings and recommendations to cross-functional stakeholders and leadership What We're Looking For • Significant experience working as a Product Analyst, ideally in gaming, mobile apps, or other consumer digital products. • Strong SQL skills and experience working with large-scale datasets. • Experience with experimentation (A/B testing), product analytics, and statistical analysis. • Intellectual curiosity with a passion for solving complex business problems through data. • Excellent communication and storytelling skills—you can translate complex analyses into clear recommendations. • Python or R experience is a plus. • Fluent English, written and spoken. Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization. We are looking for a Data Analyst to own the intelligence layer on top of Zipher's autonomous execution engine. You will turn enterprise-scale telemetry from production data and AI workloads into the metrics, models, and answers that engineering, product, and executives run on. What You'll Do Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency Define and instrument the product KPIs and dashboards used daily by engineering, product, and the executive team Build and maintain production-grade data pipelines and models on enterprise-scale telemetry — Databricks/Spark, logs, metrics, and traces Partner closely with backend and ML engineers to translate complex multi-cloud performance data into actionable platform intelligence Run deep-dive analyses and experiments that validate features, quantify impact, and uncover new optimization opportunities What We Offer A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one: real architectural influence, direct exposure to founders, and responsibility for mission-critical systems Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the data engine behind autonomous AI workloads? Hit Apply. What You'll Bring Experience in an elite IDF technology/intelligence unit (e.g. 8200, Mamram, Matzpen) 3–6+ years in Data Analytics, Product Analytics, or Analytics Engineering, including ownership of analysis that drove real product decisions Advanced, production-level SQL and strong Python (pandas, numpy; scikit-learn is a plus) Proven experience with large-scale datasets, scalable data models, and end-to-end data products running in production Strong applied statistics and exploratory analysis, plus the technical storytelling to make findings land with non-technical stakeholders A high-agency, engineering-first mindset: you enjoy ambiguous, high-leverage problems and take responsibility for the correctness and quality of what you ship Nice to Have Experience with Databricks, Snowflake, Spark, AWS Athena/Glue, dbt, or Airflow/Prefect Background in cloud infrastructure metrics, compute engines, or MLOps/AIOps telemetry B.Sc. in Computer Science, Industrial Engineering, Statistics, or Mathematics, or equivalent

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. A Product Analyst at Torq plays a key role in helping Product teams understand what’s happening, why it’s happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, you’ll help shape product decisions and identify opportunities for improvement. What You Will Do: • Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations. • Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why. • Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement. • Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions. • Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions. • Ensure accuracy and attention to detail, building trust in the data and insights used across the organization. The Ideal Candidate: • 3+ years of experience in Product Analytics or a similar analytical role, ideally in SaaS or cybersecurity. • Strong analytical and critical-thinking skills, with a proactive and curious mindset and the ability to connect the dots and uncover meaningful insights. • Proficient in SQL (complex joins, window functions) and experienced with BI tools such as Looker, Tableau, or Power BI. • Hands-on experience using AI tools for analytics; experience building AI agents is a strong advantage. • Strong communication and stakeholder management skills, with the ability to influence product decisions through data. • Strong attention to detail and the ability to build trust and confidence in data and insights. • Bonus: Experience with Amplitude, Salesforce, or data modeling/ETL processes. We build AI for a living, and we encourage candidates to use it to prep, research, and sharpen their best work. But we're hiring humans, not chatbots. We want the real you. Use AI to tighten your resume, prep for interviews, research Torq, and outline ideas for written responses. Show up as yourself for live interviews, final assessments (the voice, logic, and reasoning need to be yours), and anywhere we're evaluating how you think — not how you prompt. Excited about our vision and ready to make an impact as we grow? We'd love to see what you can bring to the team. As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By submitting your application, you acknowledge that Torq will process your personal data in accordance with Torq’s Privacy Policy.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role: Hello Heart is looking for a curious, analytical, and action-oriented Senior Product Analyst to join our Product Team. In this role, you will be the data leader within your product area, helping the team make data informed decisions, identify opportunities, and measure the impact of product initiatives. Reporting into our Hello Meds GM, you will partner closely with Product Managers, Data Engineers, Business Intelligence Developers, and Software Engineers to turn complex data into clear insights that shape product strategy, roadmap decisions, and business planning. You will play a key role in understanding how members interact with the Hello Meds product, where we can improve their experience, and how we can better support their long-term success. Responsibilities: • Partner with Product Managers and cross-functional stakeholders to support data-informed product decisions, roadmap planning, and business strategy. • Analyze user behavior, product usage, funnels, and engagement trends to identify opportunities to improve the member experience and product outcomes. • Build, maintain, and improve dashboards, reports, and alerts using business intelligence and analytics tools. • Define, track, and evaluate key performance indicators and reporting frameworks that help the business understand product performance. • Translate complex data sets into clear insights, actionable recommendations, and concise narratives for product, leadership, and business teams. • Design and analyze product experiments, including A/B tests, funnel analysis, and other methods that measure the impact of product changes. • Partner with Data Engineering, Business Intelligence, and Engineering teams to ensure data quality, reporting accuracy, and reliable measurement. • Proactively surface trends, anomalies, and risks in the data, bringing findings and recommendations to Product Managers and stakeholders ahead of requests, not just in response to them. • Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation. • Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation. Qualifications: • 5+ years of experience in product analytics, data analytics, business intelligence, or a related analytical role. • Experience with product development, A/B testing, funnel analysis, and business-to-consumer applications is a strong advantage. • Advanced SQL skills, with strong experience analyzing complex data sets and building clear, scalable reporting. • Experience with business intelligence and analytics tools, such as Mixpanel, Tableau, Looker, or similar platforms. • Bachelor’s degree in a quantitative, analytical, technical, or business-related field, or equivalent practical experience. • Strong understanding of statistical analysis and product experimentation. Experience with R, Python, MATLAB, or similar tools is an advantage. • Ability to communicate insights clearly and translate data into actionable recommendations for technical and non-technical audiences. • Strong AI fluency, with the ability to use AI tools and agent-based workflows to accelerate analysis, summarize findings, improve productivity, and enhance decision-making while applying sound judgment and data privacy practices. • Strong problem-solving skills, independence, curiosity, and a proactive, go-getter mindset, with a track record of surfacing risks, gaps, or opportunities before being asked rather than only responding to requests. • Highly organized and detail-oriented, with the ability to manage multiple priorities and adapt quickly in a fast-moving environment. • Passion for data, product impact, and using insights to improve the user experience. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

About Hello Heart: Hello Heart is on a mission to make heart attacks a thing of the past. We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models. This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers. We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us. About the role Hello Heart is seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team. In this role, you will shape the future of the digital health products that help people understand and improve their heart health. By applying your technical skills, analytical mindset, and product intuition to rich real-world health and behavioral data, you will help define the experiences we build for our users and the value we deliver to employers and health plans. You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success. You will use data and analysis to identify and solve our biggest product challenges, influence product strategy and investment decisions, and translate insights into digital solutions that improve the well-being of the people we serve. What you'll do • Product leadership: Use data to shape product development, quantify new opportunities, and identify upcoming challenges. Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem, ensuring what we build brings real value to users, clients, and Hello Heart. • Analytics: Guide teams with data and insights. Develop hypotheses and test them using a varied toolkit of rigorous analytical approaches, from experimentation to causal inference and statistical modeling. • Communication and influence: Don't just present data, tell data-driven stories. Influence partners with clear insights and recommendations, and become a trusted strategic partner through structure and clarity. Your responsibilities • Work with large and complex datasets, applying statistical analysis and visualization methods to extract meaningful patterns and trends. • Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product and engagement metrics. • Design, execute, and analyze A/B tests, including tests of ML-driven features, accounting for cause/effect and treatment/prevention relationships. • Monitor and analyze the performance of our ML models in production, and generate insights and research leads for model improvements and new data-driven solutions. • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. • Partner with Product, Engineering, Data Science, and healthcare professionals to inform and execute product strategy. • Integrate AI tools into your workflows to drive measurable gains in efficiency and quality. • Stay current with the latest research and best practices in healthcare analytics and AI. Requirements • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field. • 4+ years of hands-on experience in analytics or data science, solving analytical problems using quantitative approaches. • Proven experience leading data-driven projects from definition to execution, including defining metrics, designing experiments, and communicating actionable insights. • Strong knowledge and experience with SQL. • Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization. • Familiarity with experimental design and statistical modeling techniques (e.g., Bayesian methods, propensity score matching). • Experience analyzing or testing the performance of ML models in production. • Hands-on experience using AI tools to support data analysis, coding, research, and problem solving. • Strong analytical and critical thinking skills, with excellent communication and storytelling ability. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.

Description About the role We're looking for a sharp and business-oriented Data Analyst to join ONE ZERO and help shape the future of digital banking. In this role, you'll work across product, marketing, finance, and technology teams to identify opportunities, translate complex needs into actionable solutions, and drive impactful initiatives. This is an opportunity to influence key customer journeys, optimize processes, and support strategic decisions in a fast-paced, data-driven environment. Why join us? At ONE ZERO, we're redefining banking through technology, data, and exceptional customer experience. You'll work with talented people, influence meaningful decisions, and help build products used by thousands of customers. Your Day-to-Day • Analyze business processes, customer journeys, and workflows to identify improvement opportunities. • Gather and translate business requirements into clear functional specifications and actionable recommendations. • Partner closely with Product, Marketing, Finance, Technology, and additional stakeholders to drive cross-functional initiatives. • Support the design, implementation, and rollout of new products, features, and internal processes. • Build business cases, define KPIs, and measure impact of initiatives. • Conduct data analysis to identify trends, inefficiencies, and growth opportunities. • Design and build views and aggregation layers in the data warehouse to support reliable, performant, and self-serve analytics. • Develop and maintain semantic layer definitions – including metrics, dimensions, and business logic – to ensure consistent reporting across teams. • Create and optimize aggregations and summary tables to enable fast, scalable analysis across large datasets. • Create documentation, process flows, and presentations for stakeholders and management. Requirements • 4+ years of experience as a Data Analyst / Business Analyst / Product Analyst or a related role. • Strong analytical thinking with the ability to turn complexity into clarity. • Experience working with cross-functional teams in dynamic environments. • Proven ability to manage multiple stakeholders and priorities simultaneously. • Strong SQL skills, including the ability to design views, CTEs, and complex aggregations – required. • Hands-on experience building or working with a semantic layer (e.g., dbt metrics, Looker LookML, Cube, or similar) – advantage. • Familiarity with data modeling concepts – star/snowflake schemas, fact and dimension tables, aggregation strategies – advantage. • Experience in fintech, banking, financial services, or regulated environments – significant advantage. • Familiarity with Agile methodologies and product development processes. • Strong communication and interpersonal skills. You'll thrive here if you: • Enjoy solving complex problems. • Are proactive and take ownership. • Can move between strategic thinking and hands-on execution. • Feel comfortable in fast-changing environments. • Want to shape the future of banking.

The Company Mixtiles is a $350M profitable consumer brand reinventing how homes feel. We build products people didn't know they needed, and now can't imagine living without. Wall photos. Self-watering plants. Smart lighting. easyplant started with a simple promise: plants that don't die. Two years of development created a self-watering system that helps plants live 6x longer. Today, a million plants a year find their way into homes. And we're just getting started. The Role Every great growth story has someone who saw it first. The opportunity hiding in a funnel. The customer behavior no one noticed. The bet worth making before anyone else believed in it. That's the person we're looking for. As our Data Lead, you'll sit at the center of the business, side by side with our GM, Marketing and Product. You'll see easyplant through both lenses: how people discover and choose us, and how they experience the product. You'll spot what matters, put a spotlight on it, and point us in new directions. You'll shape where we invest, what we build, and how we grow. Our business goals are your goals. You'll help us reach them, and show us how much further we can go. What You'll Do • Find the opportunities that move easyplant forward, and bring them to the table • Shape marketing and product strategy with a clear view of what drives growth • Turn big questions into experiments, and experiments into decisions • Build the tools and models that give every team a sharp view of the business • Raise the bar on how easyplant thinks with data Who You Are • A business partner first. You care about the outcome as much as the analysis • Fluent in both worlds: marketing (acquisition, attribution, CAC, LTV) and product (funnels, cohorts, retention) • Technically strong in SQL and Python, and you build your own tools, with AI as a natural part of how you work • Curious and proactive. You raise the question before anyone asks it • A storyteller who makes complex data clear and convincing Big advantage: experience in e-commerce, DTC or consumer brands, and in advanced marketing measurement or statistical modeling. Why This Role easyplant has proven people love plants that don't die. Now we want to bring them into many more homes.

Role Overview As a Data Lead at Wonderful, you'll help shape how we measure, understand and scale our product and business. You'll work across product, operations, and business data - analyzing complex datasets, defining KPIs and building dashboards to drive clear, data-informed decisions. You'll own data processes end-to-end, from raw data and modeling to insights and impact. What You'll Do • Analyze product usage, customer interaction and business data. • Define and track KPIs across product, operations and business domains. • Build dashboards and monitoring tools. • Develop and maintain ETL pipelines and data models (Snowflake, dbt). • Work closely with Product, Operations (GTM), Business and Engineering. What We're Looking For • 3+ years of experience as Data Analyst. • Strong proficiency in SQL - must. • Strong business sense and ability to translate data into insights. • Ability to work end-to-end, from raw data to business impact. • Experience building ETL pipelines (Snowflake, dbt) - advantage. • Experience building dashboards using BI tools (Looker / Tableau / Omni) - advantage. Nice to Have • Experience with product analytics or customer interaction data. • Experience in a fast-growing startup. • Familiarity with AI-driven products. Candidate Privacy Notice

Description About Us Arpeely is bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for. At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what it’s worth. About Ace AI Now we’re taking everything we’ve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI. This is a rare opportunity: a category that hasn’t meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms. Come build it with us. We're looking for a Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. You’ll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace You’ll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions. We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions. What You'll Do • Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities. • Run the experimentation engine. Own experiments end to end - identify what’s worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions. • Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that aren’t obvious from a dashboard. • Shape how we measure the product. Define the metrics that matter, make sure we’re measuring new features correctly, and create a trusted analytical foundation for understanding product performance. • Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization. • Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed. • Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems. Requirements • 5+ years as a Product Analyst or Data Analyst in a fast-paced product environment. Consumer product experience is a strong plus. • Excellent SQL and analytical skills. You’re comfortable working directly with large, complex datasets and can independently get from a product question to a trustworthy answer. • Strong experimentation skills. You understand how to design, evaluate, and interpret A/B tests, including the statistical principles and practical pitfalls behind them. • Strong product thinking. You don’t stop at what happened - you want to understand why it happened, what it means for the user and the business, and what we should do next. • Technical curiosity. You’re comfortable understanding how products work under the hood and collaborating with engineers on data, instrumentation, experiments, and technical product questions. • AI-native mindset. AI is already part of how you work. You actively use modern AI tools to increase your speed, depth, and independence. • High ownership. You don’t wait for perfectly defined requests. You identify important questions, investigate them independently, and drive them toward decisions. • Strong communication. You can turn complex analysis into simple, clear conclusions that people can understand and act on.

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people. About the Role We’re looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy. This isn’t a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do. What You’ll Do • Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives. • Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops. • Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next. • Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company. • Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision. What We’re Looking For • SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc). • Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly. • Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision. • Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers. • Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful. • Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field. Why You’ll Love Being a Similarwebber • Impact: Your work will influence both product and business strategy across our global customer base. • Growth: We foster a culture of open dialogue where big ideas are encouraged. This role offers real room to grow in scope and influence. • Product: You’ll work with the world’s most powerful digital intelligence platform and actually love it. • Culture: We’re inclusive, innovative, and supportive. #LI-Onsite We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, Meta, OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. We’re looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team. What does the day to day of a Big Data Analyst Customer Facing (Data Labs) at Similarweb look like: • Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery. • Apply your expertise in quantitative analysis and data mining to turn data into insights. • Conduct research and develop tools which will help answer client's’ business. questions by using Similarweb’s raw data sets and algorithms. • Partner with Engineering teams to establish an infrastructure to scale solutions. • Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly This is the perfect job for someone who has: • Analyzing Billions of user-based events into meaningful insights for strategic clients. • At least 4 years experience with SQL/pySpark for data analysis - Must • Experience in Python scripting - Must • Excellent verbal and communication skills in English - Must • AWS Infrastructure experience - Big Advantage • Working with clients - Big Advantage. • Proficiency in Online Marketing/Online Services - Advantage • At least 2 years work experience in Online/Tech Company - Advantage • Team player, autodidact, fast learner with excellent analytical, research and business skills. • Demonstrates initiative and a proactive mindset -Must • Experienced in independently managing complex projects from start to finish. • Have a Bachelor's in Statistics, Computer Science, Engineering, or related field. • Master's degree - Big Advantage. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-SS #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Data Analyst – Product Data & AI Quality At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. We’re looking for a Data Analyst to join our R&D department! Why is this role so important at Similarweb? Our Retail Intelligence products help leading brands and retailers understand how their products, brands and categories perform online. Behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. We use LLMs and ML models to classify, normalize and structure that data into a single, trusted view. As a Data Analyst on the team, you’ll be the person who knows this data best. You’ll own its quality: defining what “correct” looks like, building the ground truth our models are measured against, and finding where things break and why. You’ll work closely with the engineers and scientists who build our LLM and ML pipelines, and with Product, turning what you find into clear priorities. Your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients. It’s a role for someone curious and hands-on, who enjoys digging into data, uses AI tools to move faster, and wants to see their analysis directly shape the product. So, what will you be doing all day? Your daily responsibilities may include: • Analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy • Defining quality metrics and building the dashboards and checks that track them over time • Building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes • Evaluating the output of LLM and ML models: error analysis, comparing approaches, and turning findings into concrete improvements • Using LLMs and AI tools to speed up analysis, labeling and data review • Helping define and maintain taxonomies and classification rules together with Product • Supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients • Validating new data sources before they are added to the product • Partnering with Product and engineering to translate findings into requirements and priorities This is the perfect job for someone who: • Holds a B.Sc. in Industrial Engineering, Statistics, Economics, Computer Science or another quantitative field • Has 2+ years of experience as a data analyst, preferably in a tech company • Has strong SQL skills • Uses Python for data analysis (pandas, notebooks) - Must • Has a solid understanding of statistics and evaluation metrics: sampling, precision/recall, confidence levels • Has hands-on experience using LLMs for data work, such as prompting, structured outputs or reviewing model outputs • Has strong attention to detail and a structured approach to messy, ambiguous data • Communicates clearly in English and can present findings to Product, engineering and customer-facing teams • Has experience with labeling, taxonomies or data quality processes (advantage) • Has experience with e-commerce or product data (advantage) • Has experience with BI and visualization tools (advantage) At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here: https://www.similarweb.com/corp/legal/applicant-privacy-policies/ We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job Description As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment. In your day-to-day, you will: • Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization • Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights • Challenge the “why” and “how” of product features, driving data-informed decisions that shape the product roadmap • Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments • Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership • Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation Qualifications • 5+ years of experience as a Product Analyst or Data Analyst focusing on product analytics (preferably in a fast-paced B2B/B2C SaaS or Tech company) • Proven hands-on experience with AI tools and LLMs (e.g., Claude, OpenAI) for analytical workflow enhancement, automated scripting, or data exploration • Deep understanding of product analytics frameworks: user funnels, onboarding optimization, cohort analysis, A/B testing/experimentation, feature adoption, and retention curves • Strong proficiency in SQL and data manipulation tools (Python) • Experience with product analytics and event-tracking platforms (e.g., Amplitude, Mixpanel, Heap) • Exceptional business acumen- ability to connect complex product usage data to core business outcomes and tell compelling data stories • High attention to detail with a track record of delivering accurate, actionable, and impact-driven insights • Comfortable in an agile, fast-paced environment, collaborating seamlessly with Product Managers, Engineers, and UX Designers Additional Information We’re Base44, a newly acquired part of Wix dedicated to revolutionizing software development. Our AI-powered platform enables anyone to create custom software applications using natural language, eliminating the need for traditional coding. Operating as a startup within Wix, we embrace a fast-paced, collaborative environment, solving complex challenges with simple, innovative solutions. Base44 exists to empower creators, solo founders, startups, entrepreneurs, and side hustlers to turn their ideas into reality. Whether it’s launching a product, testing a concept, or exploring an idea, Base44 is here to help make it happen. Customer Care is Wix's first-line, user-facing team, dedicated to helping users solve problems, explore opportunities, and achieve success. We also serve as the voice of the user, delivering insights to improve Wix's products and user experiences.

Who Connecteam is: Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other. Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job. Backed by $220M+ from Insight Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency. About the role Connecteam is looking for an AI-native Data Analytics Team Lead to lead our analytics team and shape how data is used to drive business decisions across the company. This is a hands-on leadership role combining people management, strong business understanding, and technical leadership. You will lead and develop a team of analysts, set technical and analytical standards, own the team’s priorities, and partner with stakeholders and senior leadership on high-impact initiatives. You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works. Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations. Key Responsibilities • Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth. • Own the team’s priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs. • Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI. • Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations. • Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards. • Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics. • Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows. • Stay hands-on with data, code, and analysis when tackling complex or high-impact problems. Experience & Skills • 5+ years of experience in business, growth, or data analytics within a fast-paced SaaS or web company, including 2+ years of direct people management experience leading a team of Data Analysts. • Strong business understanding and the ability to translate business needs into clear analytical priorities and actionable insights. • Strong technical leadership and experience establishing analytics and engineering best practices. • Advanced SQL and production experience with dbt, including data modeling, testing, lineage, and CI. • Experience with Git-based development and code review workflows. • Experience building decision-oriented dashboards in Looker or a comparable BI platform. • Practical experience using AI agents in analytical or engineering workflows. • Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams. • A proactive, hands-on approach and the ability to prioritize effectively in a fast-moving environment. Nice to have • Experience designing and implementing a governed semantic layer. • Python. • Experience with statistics, experimentation, or A/B testing. • Experience with B2B, multi-tenant SaaS businesses. • Experience building agent skills, n8n workflows, Cursor projects, or internal data agents. #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy

Who Connecteam is: Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other. Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job. Backed by $220M+ from Insight Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency. About The Role Connecteam is looking for a product-first, AI-native Data Analyst to shape how our Product organization understands signup, activation, feature adoption, and launches. This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company. You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work. For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows. Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations. Key Responsibilities • Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement. • Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance. • Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations. • Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models. • Extend and validate dbt models, owning changes through pull request and CI. • Build and maintain focused Looker dashboards that support product decisions. • Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics. • Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows. Experience & Skills • 3+ years of experience in product or growth analytics within a fast-paced SaaS or web company. • Strong business judgment and the ability to turn ambiguous questions into clear analytical approaches. • Advanced SQL skills and experience working with large event datasets. • Production dbt experience, including data lineage, DAGs, testing, and CI. • Experience with Git-based workflows, including branches, pull requests, and code reviews. • Experience building decision-oriented dashboards in Looker or a comparable BI platform. • Practical experience using AI agents in analytical or engineering workflows. • A proactive, “can-do” approach, with the communication skills and adaptability required to manage competing priorities and influence technical and non-technical stakeholders. Nice to have • Experience designing, implementing, and testing a governed semantic layer. • Python • A background in statistics, experimentation, or A/B testing. • Experience with B2B, multi-tenant products involving both company- and user-level behavior • Experience building agent skills, rules, n8n workflows, Cursor projects, or internal data agents #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy