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we are 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 youll 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 companys performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) Were part of trivago N.V., a global B2C travel-tech company headquartered in Dsseldorf, 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, weve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
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.

Were 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 us.
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.

We are seeking a driven and analytical Senior Corporate Development Analyst, valuation and financial modelling, to lead transaction valuation, financial modelling and deal analysis. Reporting directly to our Head of Corporate Development, you will be a key member of the Business Development & Corporate Strategy division, evaluating and structuring strategic transactions that drive the company's long-term growth.
This role offers significant exposure to senior leadership and provides a unique opportunity to influence high-impact business decisions through rigorous analysis and strategic thinking.
(*Please note, the internal title for this role is Manager, Corporate Development, Business Development & Corporate Strategy)
Responsibilities
Build integrated financial models for strategic transactions, covering P&L, cash flow, valuation.
Assess transaction economics, evaluate deal structures, and identify key risks and value drivers.
Support the underlying patient and market-based sales forecasts, incorporating epidemiology, patient journeys, pricing, market access, launch timing, market penetration, and competitive dynamics across multiple geographies.
Present transaction analyses, recommendations, and potential outcomes to senior management and executive leadership.
Partner with Corporate Strategy and cross-functional stakeholders to support our Long-Range Plan, Board of Directors materials, investment cases, and strategic financial assessments.
Conduct post-deal reviews to evaluate performance, capture insights, and incorporate key learnings into future business development activities.
Support negotiations and contribute to the structuring of strategic transactions.

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.

Required VP Data
The Role:
We believe better decisions compound.
A better attribution model changes where we invest.
Better customer economics change how we grow.
Better measurement unlocks entirely new business models.
As we grow into a group of consumer brands, those decisions become more important - and more complex.
That's why we're hiring this role.
We're looking for someone who can help us build a better business through numbers.
Not by building dashboards.
By helping us answer questions like:
Where should we invest the next dollar?
Are we measuring marketing correctly?
Is our attribution model helping us - or holding us back?
Which customers are far more valuable than we realize?
How should multiple brands change the way we think about LTV?
Should we rethink pricing? Bundles? Subscriptions? Media strategy?
Where is the next $100M hiding?
You'll work directly with the CEO and leadership team on some of the biggest decisions in the company.
What You'll Do:
Own the frameworks behind our biggest business decisions.
Lead how we measure growth, marketing performance, customer economics and profitability.
Rethink attribution, incrementality, media measurement and capital allocation.
Identify growth opportunities across products, brands, pricing and customer behavior.
Partner closely with Marketing, Product, Finance and Operations to improve decision-making across the company.
Lead our Business Analytics team, making sure every team has the data, tools and insights they need to make better decisions.
Turn analysis into action.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.

Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Senior Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.


Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

Direct employment by the client — you'll be a company employee from day one. What if your next analysis could shape the way a B2C company grows? If you're passionate about turning complex data into meaningful business impact, this opportunity might be exactly what you're looking for. Central Israel, Hybrid: 3 days in the office | 2 days from home We're hiring a Senior Data Analyst In this role, you'll take the analytical lead on a fast-growing B2C product, partnering closely with Product, Marketing, Data Science, and Business teams to drive customer acquisition, optimize performance, and support strategic growth. What you'll be doing: • Analyze customer behavior, acquisition funnels, and marketing performance. • Lead deep-dive analyses and A/B testing initiatives. • Build dashboards and visualizations that drive business decisions. • Work with large-scale datasets and modern data platforms. • Collaborate closely with cross-functional teams to transform data into measurable business impact.

Were looking for a Data Analyst who combines analytical rigor, strong business judgment, and the ability to turn complex data into clear, actionable insights.
This role spans three core areas: marketing analytics for our clients, product analytics for our company, and modeling consumer behavior in AI chats using panel data.
Youll help clients understand marketing effectiveness through attribution, marketing mix modeling, and incrementally analysis. Internally, youll analyze product clickstream data to understand how customers use our company and identify opportunities to improve adoption, engagement, and retention. Alongside this, youll analyze panel and conversational data to understand how people discover brands, explore options, and progress through decision-making journeys in AI chats.
Youll own analytical projects end to end from defining the question and preparing the data to developing analytical models, validating findings, and influencing decisions. This is a hands-on role for someone who can move between business questions, event-level data, and statistical analysis and take ownership before every requirement has been defined.
Responsibilities
Own analytical quality and communication.
Marketing Analyst - Analyze marketing performance on behalf of clients, own attribution and marketing effectiveness analyses, turning measurement into client decisions.
our company Product Analytics - Understand how customers use our product, Guiding product decisions through evidence while Building a reliable foundation for product measurement.
Panel Data & AI-Chat Behavioral Modeling - Analyze how people use AI chats, modeling it using intent taxonomies, behavioral segments, etc. Produce robust, representative insights.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities:
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

We are looking for an experienced and highly motivated Senior FinOps Product & Projects Analyst to join our Financial Operations (FinOps) organization.
This role sits within the FinOps Product & Projects team, which acts as the bridge between Financial Operations, Product, Engineering, BI, and other cross functional teams.
Our mission is to ensure that FinOps is operationally ready to support new products, capabilities, and strategic initiatives. We translate business and operational needs into product requirements, design scalable operational processes, drive cross functional projects, and ensure successful implementation across the FinOps organization.
This is a highly cross functional role combining project management, product operations, process design, data analysis, and technical problem solving.
What You'll Do :
Lead strategic FinOps initiatives from planning through execution.
Drive cross functional projects involving Product, Engineering, BI, Finance, Operations, and external stakeholders.
Track project progress, identify risks, and drive timely resolution of blockers.
Coordinate testing, deployment readiness, and operational rollout of new capabilities.
Act as the primary liaison between FinOps and Product teams.
Translate operational challenges into clear product requirements and enhancement proposals.
Identify opportunities for automation, scalability, and operational efficiency.
Ensure new product capabilities are operationally supported before launch.
Influence product roadmaps based on operational needs and customer impact.
Design scalable operational processes for new products and business initiatives.
Build and document standard operating procedures (SOPs), workflows, and operational playbooks.
Ensure smooth handover of newly designed processes to operational FinOps teams.
Lead complex operational investigations involving multiple teams.
Coordinate high priority incident resolution.
Perform root cause analysis and drive long term corrective actions.
Work closely with BI teams to define reporting requirements and operational dashboards.
Support data driven decision making across FinOps.

we are looking for a Senior Data Analyst.
The Custom Feeds team turns Placer's data into production-grade bespoke data products for our largest customers - tailored to specific business questions and shipped on a recurring basis. We're looking for a Senior Data Analyst who is both a pipeline builder and a data researcher. You'll own custom recurring feeds end to end - from methodology for new metrics, through pipeline design, to final acceptance before delivery. You'll lead conversations with internal stakeholders (US-based customer-facing teams and colleagues across R&D) and help generalize recurring logic into reusable models, metrics and packages the whole team builds on. Ideal for a rigorous, independent thinker looking for a delivery-oriented role where impact is tangible.
Responsibilities:
Own custom feeds from requirements through delivery and ongoing maintenance
Develop methodologies and acceptance criteria for new metrics
Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and Terraform
Partner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedback
Build reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products - and make your work reusable by others

In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.

Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.