לוח משרות דרושים Senior data analyst, לחיפוש זה נמצאו 34 משרות

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

CodeValue is looking for an experienced Senior Business / System Analyst to join a large-scale Enterprise project in the banking and financial services domain. The role combines business analysis and technical analysis , working on complex Enterprise processes, Domains, Services, APIs, integrations, data models, and technical requirements. You will work closely with Architects, Developers, business stakeholders, and delivery teams to translate business needs into clear, scalable technical solutions. What You'll Do
* Analyze complex business and technical processes in a large-scale Enterprise environment.
* Break down business capabilities into Domains and Services
* Analyze system interactions, APIs, integrations, and data models.
* Define and document Business Flows and system processes.
* Translate business needs into clear functional and technical requirements.
* Define and maintain technical backlogs and requirements.
* Work closely with Architects, Developers, business stakeholders, and delivery teams.
* Identify dependencies and integration requirements across multiple systems.
* Support the design of scalable and maintainable Enterprise solutions.
* Participate in discussions around system design, architecture, and technical

Location: Rishon LeZion Work Model: Hybrid – 4 day per week on-site

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.

We are looking for a hands-on Senior SOTIF Analyst to join the team developing a novel approach to validating the safety of autonomous vehicles.
Demonstrating the safety of autonomous vehicle systems is one of the most challenging problems at the frontier of technology. It requires a deep end-to-end understanding of the AV system, rigorous technical analysis, and the ability to translate safety challenges into measurable KPIs, practical tools, and scalable methodologies.
In this role, you will work closely with R&D, Validation, customers, and industry stakeholders to shape and advance our SOTIF approach and support its broad acceptance across the automotive industry.
What will your job look like?
Lead the design & development SOTIF (Safety Of The Intended Functionality) concept and KPIs for AV systems.
Work closely with R&D and validation on bringing our concepts to reality.
Initiate new methods and tools to support the safety analysis of the AV system.
Hands-on development of tools, analysis and solutions together with an Agile team.
Identify potential safety risks , such as driver behavior, and develop strategies to mitigate those risks.
Develop and implement SOTIF requirements and guidelines for the design, development, and testing of systems.
Work with the automotive industry to get to a wide acceptance of our methodology.
Work closely with customers and regulators on SOTIF related aspects.

We are seeking talented and passionate Senior Data Engineer to join our Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.

Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

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 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.

This is a full-time on-site role for an AI Data Analyst, located in the Tel Aviv District, Israel. The AI Data Analyst will be responsible for analyzing data, developing data models, conducting statistical analysis, and communicating findings to relevant stakeholders. Daily tasks will include interpreting complex data sets, generating actionable insights through data analytics, and supporting the development of AI-powered compliance 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.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
‍Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.‍‍
‍ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
‍Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.‍
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the company Data team might be what you're looking for.
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the company Data team might be what you're looking for.
What am I going to do?
Data analysis focal for business & product-related teams
Proactively provide insights that will lead the business growth
Ability to model/simulate new features & opportunities, estimated impact
Build and maintain the teams reporting set and dashboards
Manage multiple tasks in a fast-paced working environment
Conduct deep-dive analyses with actionable recommendations and conclusions.

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.