Data Analyst jobs in Israel

Description Percepto specializes in autonomous inspection and monitoring solutions, utilizing robotics, including its own drone-in-a-box product line. In our company, you will find software and hardware engineers, industry experts, and professionals who are passionate about pushing the boundaries of what is possible with software, AI, and hardware. Percepto is the most deployed drone in a box platform in the world and our product provides value to the biggest companies in the O&G, T&D and heavy industrial companies. As a Senior Product Analyst, you will work within Percepto's Product department, which supports all companies departments by leading data projects and extracting, analyzing, and presenting data (from cloud systems, sensors, and various databases) that supports ongoing improvements of the company and the product. Responsibilities • Collaborate with cross-functional teams, including product managers, R&D, support, and commercial, to provide data-driven insights that facilitate prompt and accurate decision-making • Take ownership of the data strategy for critical product initiatives, guiding project lifecycles from conception to execution • Act as a subject matter expert, helping to define data best practices and standards for the team and company. • Direct and execute end-to-end data initiatives, tracking progress from disparate data sources through to the final dashboard or actionable insight, for both continuous and ad-hoc requirements • Develop insightful and user-friendly dashboards that effectively identify causal factors • Create automated reports to support team requirements • Perform customer analysis, encompassing behavior, trends, usage patterns, and other relevant metrics Requirements • Minimum of 3 years of experience as a Product/Data Analyst • Proficiency in Python - Required • Proficiency in SQL - Required • Proficiency in ETL - Required • Proficiency in Redshift and AWS environment or equivalent - Required • Experience working with BI tools/dashboards • Knowledge of Amplitude or equivalent • Experience in leading, building and managing complex data projects across the organization with minimal supervision • Proven ability to multitask, manage multiple projects, and learn quickly. • Enthusiasm for problem solving, executing initiatives and attention to detail • Excellent communication and interpersonal skills to effectively solve problems • Fluent English - Required

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.

Nift is at a pivotal stage of growth. We are disrupting performance marketing by delivering millions of new customers to brands every month, and we have the data to prove it—now we need the insight to guide it. We are looking for a Data Analyst to serve as the analytical bridge between our marketplace economics and daily business operations. This is not a "ticket-pulling" role; this is a strategic partnership role. You will wear two hats: acting as the dedicated, day-to-day data partner for our Account Managers, and operating as a proactive business intelligence engine to uncover where our next growth opportunities lie. You will be the person with your ear to the ground, taking large-scale marketplace data and turning it into simple, meaningful actions that shape our product and business decisions. If you are an AI-native problem solver who loves automating the "boring" work to focus on high-impact strategy, we want to talk to you. What You'll Do • Be the Business Bridge: Act as the primary data point-of-contact for Account Managers. You’ll help them diagnose complex performance issues, explain why things are happening in the data, and suggest clear, actionable next steps. • Proactive Business Intelligence: Look beyond the dashboard. Identify patterns in supply, demand, and brand performance. You’ll surface the findings—like user history modeling or cohort analysis—that influence company strategy every few weeks. • Automate & Scale: We don’t just want you to run queries; we want you to build. Whether it’s automating classification, optimizing supply/demand tagging, or building models that make our data more accessible to the team, you’ll focus on building for the long term. • AI-Native Automation: A massive green flag for us is someone who builds bots (Slack, email, or web apps) to share knowledge and automate repetitive workflows. You’ll help us build a smarter, more efficient data culture. What You'll Have • 5+ Years of Experience: You’ve spent significant time working with data in a professional environment and understand how to handle data at scale. • SQL (Must): You are an expert. You can navigate complex datasets to find the answer quickly and accurately. • Recommendation System Familiarity (Must): You understand the vocabulary (e.g., selection bias, cold start, feedback loops). You need to know the context of how these systems work to speak confidently with stakeholders. • Business Intuition: You have a math or statistics background (bonus), which helps you reduce false claims and provide the business with reliable, defensible insights. • Technical Versatility: Python is a major bonus, especially if you use it to automate work or build lightweight tools. • Communication: You know how to talk to non-technical partners (Account Managers, clients) and translate complex data into a narrative that drives action.Is About Us Our mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now we're scaling to become one of the largest sources of new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we're poised for exponential growth and ready to demonstrate impact on a global scale.

Description About us: Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide. About the Role: We are seeking a talented and driven Data Analyst to join our data product team. This role combines analytical expertise, strong technical skills, and a deep understanding of large-scale datasets to support product development and business growth. As a Data Analyst, you will work closely with Product, Development, and Business teams to transform complex data into actionable insights and enable data-driven decision making. Responsibilities • Lead and execute data analyses, data quality assessments, validation processes, and analytical investigations to provide actionable insights. • Analyze large-scale datasets to evaluate new data sources, identify trends, and uncover business opportunities. • Research, design, and validate data models and methodologies to support product and development teams, as well as customer needs. • Develop, maintain, and improve dashboards, reports, and monitoring tools for tracking key business and product metrics. • Present findings and recommendations to both technical and non-technical stakeholders. Requirements • At least 2 years of experience as a Data Analyst, Product Analyst, or similar role. • Strong SQL proficiency. • Experience with Python for data analysis and automation. • Experience working with large-scale datasets and analytical investigations. • Fluent in English. Advantages • Experience with Geospatial, Location Intelligence, or Cyber data. • Experience with AWS services, particularly Athena. • Experience working with Datadog, Apache Spark, or Power BI. • Experience using AI tools for data analysis, research, and productivity enhancement.

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.

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.

Description We are looking for an Analyst to join our Global Demurrage Department and play a key role in improving processes, driving automation, and supporting data-driven decision-making. Key Responsibilities: Improve Demurrage Profitability: • Analyze countries’ practices and identify gaps between business processes and system capabilities. • Define business requirements for system enhancements. • Lead cross-functional and automation projects across countries (Auto-Billing, ZIMurrage, SAP roll out). Guidance and Support for Demurrage Processes: • Provide business and technical support to global users, local offices, and IT support teams. • Prepare and maintain user guides and training materials. • Maintain and enhance supporting platforms (ZIM.com, MyZIM, IQShip, L2A, Remedy) Monitoring and Analysis: • Develop and maintain BI reports and Tableau dashboards for demurrage monitoring and performance analysis. • Perform data analysis using Excel/AI and develop automation tools, including VBA macros. In this role, you will drive global process improvement and automation initiatives, optimize demurrage profitability, and collaborate with international teams to deliver innovative, data-driven solutions that enhance efficiency and business performance.   Requirements • Academic education: bachelor’s degree holder in Economics/ Business management/ Industrial management engineering - A must, MBA - Advantage. • Minimum 2 years of experience in an analytical/ economic position - A must. • High level of analytical skills - A must. • High level of control in English language (Speaking, reading and writing) - A must. • Control of office tools, Excel (Macros level) and PowerPoint - A must. • Systems oriented, experience with SAP - Advantage.

Description Are you passionate about data, analytics, and uncovering the stories behind the numbers? Join our global team as a Performance Analyst and play a key role in shaping business decisions through data-driven insights. In this role, you'll work with large-scale operational and financial data, collaborate with stakeholders across the globe, and help identify opportunities that drive performance, efficiency, and business results. This is a great opportunity to gain global exposure, develop your analytics expertise, and make a measurable impact on business performance in an international organization. What You'll Do: Performance Analysis: • Analyze operational spend and performance to identify trends, patterns, and efficiency opportunities. • Develop and support analytical models and tools to improve performance visibility and decision-making. • Create clear and impactful data visualizations and reports to communicate insights to stakeholders. • Detect anomalies and deviations in performance data and work closely with cross-functional teams to investigate root causes and drive corrective actions. • Act as a key interface between data and relevant interfaces, ensuring alignment, data integrity, and actionable outcomes. KPI Ownership & Performance Monitoring: • Act as the focal point for the unit’s KPIs, ensuring data accuracy, consistency, and reliability across all systems and reports. • Ensure KPI targets are properly defined and aligned with business objectives. • Continuously monitor performance against targets, identifying gaps and deviations. • Analyze root causes for underperformance and work with relevant stakeholders to validate data and resolve discrepancies. Ad-hoc Analysis & Reporting: • Perform ad-hoc analyses and generate reports based on evolving business needs and management requests  Requirements • Academic education in Industrial Engineering and Management from a recognized university or college -a must • 1–2 years of experience in analytical roles - a must • High proficiency in Excel - a must • High level of English – written and spoken - a must • Strong analytical and problem-solving skills – a must • Basic knowledge of data manipulation, analysis and visualization tools, such as SQL, Tableau, Fabric • Ability to communicate analytical findings in clear, simple business language, including actionable insights. • Proactive, fast learner with strong ownership, curiosity, and willingness to learn. • Team player with strong interpersonal skills and ability to work with cross-functional stakeholders

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.

We are hiring a Data Analyst to join our data team, which drives cross-company insights and supports decision-making across GTM, Product, and Business functions. Responsibilities: • Analyze and interpret data to support strategic and operational decisions • Build and maintain reports, dashboards, and visualizations used across the company • Work closely with stakeholders to understand business needs and translate them into data solutions • Ensure data quality, consistency, and reliability across systems Requirements: • 3+ years of experience as a Data Analyst • Strong analytical skills and attention to detail • Proficiency in Python and SQL • Experience working with large-scale data environments • Hands-on experience with Snowflake and/or Databricks – required • Familiarity with AI coding tools (e.g., Claude Code, Cursor) • Experience working with Git Tech stack: • Snowflake / Databricks • Modern BI and data visualization tools • Experience working in scalable data infrastructure Education: • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required • Master’s degree in a relevant field – preferred Preferred qualifications: • Experience working with large and complex datasets • Strong business understanding and ability to translate data into actionable insights • This role is suited for someone who wants to be at the core of how data informs decisions across the organization.

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 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.

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.

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.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Israel IT Business Intelligence team is seeking a Senior Staff BI Analyst to join our team. We are in search of an individual with exceptional analytical skills and a profound understanding of information systems architecture. If you are highly motivated and seeking a place to make a significant impact with your career, we encourage you to explore this opportunity. What you'll be doing: • Leading the architectural design of complex, scalable data solutions for enterprise-level environments • Evaluating and implementing advanced technologies to drive innovation and enhance organizational analytical capabilities • Developing end-to-end Business Intelligence solutions, from requirements gathering to delivery, which includes requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications. • Collaborating closely with internal business and IT partners globally to analyze complex business problems and provide effective data-driven solutions. • Providing visualization solutions using tools such as Tableau, Power BI, and other in-house developed tools. • Designing and maintaining data models, ensuring data accuracy and consistency across the organization. • Creating and optimizing ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse. What we need to see: • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience. • A minimum of 10+ years of consistent experience in implementing full-cycle business intelligence projects, including requirements gathering, modeling, data warehousing, data development and creating analytics in visualization applications. • Expert-level knowledge of SQL with the ability to write complex queries and stored procedures efficiently. • Hands-on experience with at least one of the visualization tools like Tableau or Power BI. • Experience with cloud data platforms such as Snowflake or Databricks • A portfolio of successful Business Intelligence projects or case studies. • Excellent written and verbal English language skills. Ways to stand out from the crowd: • Functional knowledge of Operations and Supply Chain domains. • Hands-on experience with Python and PySpark for large-scale data processing, including experience with distributed computing and data transformation pipelines • Experience with LLMs, embeddings, vector databases or RAG workflows, implementation of AI solutions / algorithms for advanced data analysis – an advantage • A proven track record of designing complex data architectures and successfully implementing new technologies • Proficiency in Jira. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them. You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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