דרושים » תוכנה » Data Analyst

Were 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 isnt 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 Youll 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.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About the role:
How you’ll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data-driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. Data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. Data Infrastructure Collaboration: Work closely with Data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the company’s performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

We are in search of a detail-oriented and analytical Senior Product Analyst to join our growth team . You are a product thinker who uses data to advocate for our users. In this role, you will sit at the intersection of Product, Engineering, and Design, transforming raw behavioral data into a narrative that shapes our roadmap. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis and a proven track record of turning data into actionable insights in a B2C SaaS environment.

What You'll Do:
Master the User Journey: Map complex B2C user journeys to identify friction points. Youll go beyond the "what" to uncover the "why" behind user behavior.
Build the Data Foundation: Design and maintain "reporting-grade" data models in dbt, ensuring our BI layer is the single source of truth for product health and business use.
Optimize Growth: Design, build, and monitor funnels and A/B tests at scale to optimize performance and conversion.
Influence the Roadmap: Analyze data to identify trends and insights that directly influence product decisions and business strategy.
Foster Independent Discovery: Build and scale intuitive data tools and self-service environments that encourage independent behavior among business users, reducing the need for constant manual support.
Consultative Partnership: Provide business expertise and guidance on how to leverage data analytics and reporting within the organization.
Ad-hoc & Statistical Analysis: Support the business with ad-hoc analytics and apply statistical techniques to discover new business opportunities.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll 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. Youll 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 Product Data Science Customer Facing (Data Labs) 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 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

Were 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, youll 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. Youll 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) 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 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

we are building the future of AI-powered software development. Our tools help engineering teams write better code, ship with more confidence, and move faster - without sacrificing quality. From intelligent code review to AI-driven test generation, our company sits at the intersection of developer tooling and cutting-edge AI. Were a fast-growing, product-led company trusted by thousands of developers and engineering teams worldwide.
Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.
Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels
Turn raw product and usage data into clear, consistent metrics the team can trust
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time
Build and maintain dashboards so teams can self-serve answers
Run deep-dive analysis to surface opportunities and support product decisions and experimentation
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics
Take analyses from problem definition through to clear recommendations, not just reports.

We are currently seeking an experienced Product analyst to join our new and growing Data & Analytics team in Tel Aviv!

As a key member of our core Data & Analytics team, you will work closely with decision-makers within the Product department. In this role, you will drive analysis into our business health and stand at the forefront of identifying actionable trends, challenges, and opportunities.

With limitless potential, you will help shape and prioritize our strategic decisions using data-driven insights and thoughtful, passionate recommendations. This isnt your typical analyst role, it is a highly visible position where you will help scale our operational cadence and grow into an influential leader within the company.

** This position is temporary for a duration of 8 months, with an option to extend

What You'll Own
Work closely with our Product Managers to monitor, measure, and drive clarity around product performance across both self-serve (B2C/PLG) and enterprise (B2B) user journeys.

Analyze complex, customer-reported data issues and collaborate closely with R&D and Product Managers to resolve them.

Build and maintain the companys core reports and dashboards, balancing your focus across analytics, strategy, process, and infrastructure.

Define and track KPIs for various departments, equipping them with the tools and insights needed to take data-backed action.

Partner with Marketing to analyze acquisition, activation, and conversion funnels, measuring campaign and channel effectiveness end-to-end.

Bring new perspectives and innovative ideas to the table, and continuously measure their impact on the business.

Lead the way to consume data through a single, unified source of truth.

Who We're Looking For - The Dream Maker We’re looking for a hands-on Senior BI Analyst to own Chargeflow’s BI layer end to end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers. You’ll work across Product, Finance, Operations, and Leadership to define how the company measures performance and ensure that teams rely on consistent, accurate data rather than one-off reports or conflicting spreadsheets. This role is for someone who goes beyond building dashboards: you’ll establish the definitions, models, quality standards, and reusable BI assets that make reliable self-service analytics possible at scale. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Own the company’s BI layer end to end, from translating business questions into metric specifications to delivering trusted dashboards and certified datasets.
* Define, standardize, and document company KPIs, including their logic, grain, filters, ownership, and edge cases.
* Build and maintain accurate, performant dashboards that surface trends, risks, opportunities, and root-cause signals—not just charts.
* Design and maintain a semantic and metrics layer with consistent entities, dimensions, datasets, and business definitions.
* Create a reliable foundation for self-service analytics and LLM-powered exploration of company data.
* Implement data-quality checks, anomaly detection, testing, and alerts to identify issues before they affect business decisions.
* Investigate discrepancies between reports and source systems, identify root causes, and drive issues through resolution.
* Maintain a clear KPI glossary and metrics dictionary, with structured change management and communication.
* Establish and manage a BI intake and prioritization process, communicating tradeoffs, dependencies, and timelines clearly.
* Partner closely with Product, Finance, Operations, and Leadership to understand their goals and translate them into scalable BI solutions.
* Reduce reliance on one-off data pulls by building reusable, certified assets that make future requests faster and more consistent.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.