דרושים » תוכנה » Data Analyst

As our Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do

Translate complex data queries into clear business insights, recommendations, and product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and 2 existing products.
Support product strategy by measuring adoption, feature performance, customer impact, and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of voice, and conversion behavior.
Identify data inconsistencies, gaps, and edge cases, and partner with Data and Engineering to improve trust in our insights.
Present clear narratives and stakeholder-ready materials that connect data findings to business impact.
Your Day-to-Day Work

Write advanced SQL queries across large analytical datasets.
Use Python, Pandas, notebooks, and analytical workflows to investigate complex data
Build dashboards and reports in BI tools platforms for data visualization
Run deep-dive investigations into product usage, customer behavior, performance trends, and data anomalies.
Work with Product Managers on discovery, feature definition, rollout measurement, and post-launch analysis.
Collaborate with Data and Engineering teams on table logic, metric definitions, tracking requirements, and validation.
Prepare executive summaries, customer-facing insights, sales enablement analyses, and internal decision materials.
Proactively identify new insights, risks, and opportunities beyond the original request.

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.

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

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 with approximately 2 years of experience to join our team and help turn data into meaningful business insights. In this role, you will analyze data from multiple sources, build reports and dashboards, identify trends and opportunities, and support data -driven decision-making across the organization. You will work closely with different business and data teams, helping translate business questions into clear and actionable analyses. Your Roles and Responsibilities-
* Gather, analyze, and interpret data from multiple internal and external sources.
* Create and maintain BI reports and dashboards for business stakeholders.
* Identify trends, patterns, and anomalies in data and translate them into actionable insights.
* Perform ad-hoc analyses to support business and operational decisions.
* Use SQL to extract, combine, and analyze data from different sources.
* Collaborate with cross-functional teams to understand business needs and develop data -driven solutions.
* Support improvements to reporting processes, data quality, and analytical capabilities.
* Present findings and recommendations to managers and business
* stakeholders to help guide day-to-day decisions.
Business Unit:
data

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across . Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.

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.