Data Analyst jobs in Israel

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.

Description אנחנו מגייסים מנתח.ת מערכות Data מנוסה, לתפקיד שמשלב עבודה בעולמות DWH ו-BI עם הובלת יוזמות AI וחדשנות בתוך ארגון גדול ומורכב. לתפקיד אנחנו מחפשים מי שיודע מצד אחד להיכנס לעומק של נתונים, תהליכי ETL, מודלים ו-SQL — ומצד שני להסתכל קדימה, לזהות הזדמנויות, לבחון טכנולוגיות חדשות ולהפוך רעיונות לפתרונות שעובדים באמת. מה עושים בתפקיד? • מנתחים צרכים עסקיים ומתרגמים אותם לפתרונות Data מקצה לקצה. • כותבים אפיונים פונקציונליים וטכניים לתהליכי DWH ו-BI. • מתכננים מודלי נתונים ותהליכי ETL ועובדים באופן שוטף עם מפתחים, QA, וגורמים עסקיים. • מזהים צרכים והזדמנויות, יוזמים ומובילים פתרונות וכלי AI ארגוניים משלב הרעיון ועד ההטמעה. • עובדים עם בעלי עניין ושותפים עסקיים וטכנולוגיים, רותמים אותם ומקדמים תהליכים חוצי-ארגון. • מציגים פתרונות ומובילים החלטות ואימוץ של יכולות חדשות. • מחברים בין ביזנס, Data ו-AI כדי להפוך רעיונות לפתרונות שעובדים ומייצרים ערך. Requirements מה דורש התפקיד ? • לפחות 3 שנות ניסיון בניתוח מערכות BI/Data בסביבת DWH. • ניסיון משמעותי באפיון תהליכי ETL ומודלי נתונים. • SQL ברמה גבוהה. • ניסיון מעשי בהובלה או הטמעה של פתרונות AI בארגון. • יכולת לקחת נושא, להיכנס אליו לעומק ולהוביל אותו באופן עצמאי מקצה לקצה. מה אנחנו מחפשים מעבר לניסיון? מישהו או מישהי עם סקרנות טכנולוגית אמיתית, דרייב ורצון להשפיע. כאלה שרואים בעיה או הזדמנות ולא מחכים שמישהו אחר ירים אותה. שיודעים ללמוד, לשאול את השאלות הנכונות, לרתום אנשים ולהתקדם גם כשאין עדיין פתרון מוכן. חשוב לנו למצוא אדם שאוהב גם את העומק המקצועי של עולם הדאטה וגם את המקום שבו אפשר לנסות, לחדש ולבנות משהו שעוד לא קיים. אם אתם חזקים ב-Data, כבר עשיתם דברים אמיתיים עם AI, ואתם מחפשים תפקיד שבו אפשר גם להעמיק וגם להזיז דברים קדימה.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We’re looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology. At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up). Requirements • You have excellent communication and storytelling skills to transform complex datasets into meaningful insights for non-technical audiences. • You have at least 2 years of experience in Tableau(Must), including building reports, creating dashboards, and working with Tableau Prep and overall at least 4 years of experience in data analytics • You’re a team player, ready to support others and ensure deadlines are met. • You are proficient in SQL (BigQuery and Dataform experience is a plus) and have experience working with ETL processes, integrating data from multiple sources. • You are confident working with large-scale datasets and understand how to optimize query logic, indexes, and joins for performance. • You possess strong analytical skills and can break down ambiguous problems into actionable solutions. • You hold a B.Sc. or Master’s degree in Economy, Statistics, Mathematics, or a related field. • You have experience with Tableau Server administration (e.g., user management, performance monitoring, and troubleshooting). • You are eager to continuously learn and adapt to new challenges. Nice to have: • Experience with Python libraries such as pandas, numpy, matplotlib, or plotly. • Domain knowledge in following industries: airlines, transportation, logistics or vacations

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

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.

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.