לוח משרות דרושים Senior Data Analyst משרה מלאה, לחיפוש זה נמצאו 33 משרות

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.

the company is the leading enterprise ai visibility platform, built to help the worlds leading brands understand, manage, and optimize how they appear across ai-driven search, commerce, and advertising.
as ai rapidly becomes a trillion-dollar marketing and distribution channel, the company is defining the systems that decide how brands are surfaced, trusted, and chosen.
join our team and help build the next generation of tools shaping the future of brand management in an ai-first world.
about the role
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 the 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 the 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.
the 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.

senior BI engineer
location: givatayim, israel experience: 5+ years work model: hybrid
we are
at the company, were 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 were still reaching new heights! come join our teammates across the globe who are bright, curious, practical, and genuinely good people.
we are looking for
we are looking for an experienced talented BI engineer to join our data team in givatayim. you will take end-to-end ownership of our data modeling, serving as the architect of the "source of truth" that powers our company's most critical strategic decisions. this is a hands-on engineering role: you will ship production code (sql, dbt, Python ) through a git-based ci/cd workflow, use ai coding tools to move faster, build and implement ai based solutionsto turn the data into a critical part of decision making.
what youll do
define the source of truth: take raw, complex data and transform it into clean, well-structured tables that product analysts and business leads can use for high-stakes decision-making. you know how to build a table that is intuitive and easy for other analysts to query.
translate strategy into logic: work with product, marketing, gtm analysts to turn abstract concepts into precise sql definitions and automated datasets.
maintain data integrity: act as the guardian of our metrics. you will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.
enable high-tech initiatives: partner with our ai and data service specialists to ensure they have the structured data foundations they need to build models and external data products.
build scalable models: design, build, and maintain production-grade data models using dbt, ensuring code is modular, tested, and documented.
engineer with ci/cd discipline: treat analytics code like software. work through pull requests, automated tests and deployments (github/gitlab), code reviews, and version-controlled environments, so every change to the source of truth is tested before it ships. build with ai: use ai coding assistants (cursor, claude code) in your daily workflow to speed up modeling, testing, documentation, and code review, and help the team define how we use them responsibly. make data ai-ready: build well-documented models with clear definitions and a consistent metrics layer, so analysts, ai agents, and data products can rely on the same trusted data.
take part in building agentic solutions to support 24x7 solutions
this is a perfect job for someone who has:
experience of 5+ years of prior experience in a relevant analytics/technical role (analytics engineer, BI engineer, BI Developer or data engineer).
sql mastery: expert-level sql skills. you can write complex queries, optimize performance, and debug legacy code with ease.
dbt expertise: proven hands-on experience with dbt. you are comfortable with jinja templating, incremental models, and package management.
data modeling: experience with ETL processes and strong understanding of data warehousing concepts (amazon redshift/ snowflake) and modeling methodologies.
product & business acumen: you understand saas metrics (arr, funnels, activation, etc.) and how data logic impacts product growth and strategy.
ci/cd & git workflows: hands-on experience with git and ci processes for data projects: pull-request reviews, automated tests on every change, and automated deployments of dbt projects. ai-assisted development: practical, day-to-day experience using ai coding tools (cursor, claude code) to build faster, and the judgment to review and validate ai-generated code before it ships.

we are looking for an experienced senior business analyst - order management & Oracle fusion cloud to join our team and play a key role in driving business transformation across our global order-to-cash processes.
in this role, you will lead the functional analysis, design, and end-to-end implementation of sales and order management processes in an Oracle fusion cloud environment.
you will combine the analysis of complex business processes, requirements gathering and translation into system solutions, close collaboration with business and technology teams, and leadership of cross-functional initiatives involving automation and the integration of ai tools.
the ideal candidate combines strong business analysis capabilities with hands-on Oracle fusion cloud, understanding of order management processes, and the ability to lead strategic initiatives from concept through execution. this role offers the opportunity to influence enterprise-wide processes, drive digital transformation, and leverage emerging technologies, including ai-powered solutions, to create measurable business value.
key responsibilities:
implement, maintain, and optimize Oracle fusion cloud, with a focus on order management, pricing, and approval workflow.
analyze and design complex end-to-end order processes, including recurring orders and subscriptions.
lead requirements-gathering processes, prepare functional specifications and support go-live activities.
analyze and support integrations and interfaces between Oracle fusion and other enterprise systems.
lead cross-organizational projects and identify opportunities for process improvement and automation using technology solutions and ai tools.
about us:
we are a global leader in enterprise voice technology and voice ai innovation for the digital workplace and Customer Experience. we help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation ai-powered voice solutions. with over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.

We are seeking an experienced Senior Data Analyst to join our AI Product Analytics team and lead the evolution of our BI and analytics solutions. Sitting at the intersection of data and product, you will play a crucial role in transforming complex product usage data into actionable insights that drive roadmap decisions. You will be responsible for defining product analytics standards, translating requirements from product managers into scalable data solutions, and mentoring the broader analytics team on BI best practices. If you are an independent problem-solver with strong data modeling intuition and a passion for data storytelling, this is an incredible opportunity to shape our analytics ecosystem.
Key Responsibilities
Collaborate with product and engineering teams to translate ambiguous business questions into clear metric definitions and reporting solutions.
Serve as a subject matter expert in BI, mentoring analysts on best practices for dashboard design and data presentation.
Establish and maintain company-wide KPI metrics, documentation, and certified catalogs to ensure high-quality and reliable data.
Analyze product usage, user behavior, and feature performance to guide roadmap decisions and support AI-powered capabilities.
Manage end-to-end BI projects independently, balancing priorities in a fast-paced environment while taking full ownership of deliverables.

we are looking for a data analytics manager to join our software architecture team. we turn data from ai factories into insights that shape architecture decisions and improve cluster performance, reliability, and efficiency. you will lead our analytics team and own internal initiatives from identifying user needs through delivery and adoption. a central focus will be building and deploying ai agents for analytics-enabling architects and engineers to explore data, investigate sophisticated questions, and act on trusted findings. we seek a leader who combines analytical depth, product judgment, and the ability to turn ideas into capabilities people use.
what you'll be doing:
hire, mentor, and lead an analytics team, setting technical direction, priorities, and standards for analytical quality.
partner with architects, engineering, and cluster operations to define critical questions and lead analyses that explain system behavior, uncover bottlenecks, and quantify architectural tradeoffs.
own the roadmap for internal analytics initiatives, translating user needs into requirements, priorities, and measurable outcomes, and driving delivery and adoption.
lead the development, evaluation, and deployment of ai agents for data exploration, analytical reasoning, and automated investigation, contributing hands-on as needed.
deliver reusable analytical capabilities, intuitive tools, and dashboards that support engineering and operational decisions.
partner with data engineering to ensure the data coverage, quality, and context needed for reliable analysis and effective ai agents.
we offer competitive compensation and a comprehensive benefits package, with benefits varying by location. you'll work alongside architects and engineers tackling complex challenges in ai infrastructure, with the opportunity to build a team and shape how we use ai and data to design better systems. we'd love to hear from you!
we are an equal opportunity employer. we welcome applicants from all backgrounds and are committed to providing reasonable accommodations for candidates with disabilities throughout the application and interview process. widely considered to be one of the technology world's most desirable employers, we offer highly competitive salaries and a comprehensive benefits package.

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 Us:
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.

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 Us:
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.

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.