לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 107 משרות

Serve as primary point of contact for data analysis initiatives, esp. for Finance and Commercial related data. Gather requirements from stakeholders across the company and translate them into actionable specifications for dashboards and reports. Design, develop, and maintain reliable and scalable dashboards, visualizations, and data solutions that support decision-making. Author high-quality design documents for reports and semantic layers. Establish and enforce robust data governance framework to ensure data integrity, data privacy, and compliance Partner closely with stakeholders to review data on a regular basis and surface actionable insights. Lead and mentor business data analysts across multiple units, ensuring consistent methodologies and best practices. Monitor and improve data quality, resolving discrepancies across reporting systems. Collaborate with IT, data Engineering, and business teams to integrate and optimize data sources for reporting solutions. Stay current with emerging data technologies and methodologies Promote a data -driven culture by driving analytics literacy and recommending process and tool improvements. Contribute to the data strategy and roadmap.

Join us and help shape the strategic direction of economies for some of the largest social casino and casual titles in the world. As a Senior Game Economy Specialist, you will take ownership of complex economic systems, collaborate with cross-functional teams, and directly influence player experience and revenue across our games.
How will you make an impact with us?
Architecting, optimizing and balancing complex multi-layered economic systems across live and new games.
Leading deep-dive analyses into player behavior, progression, monetization patterns, and the health of game economies.
Create and manage in-game economic systems, including item pricing, progression curves and reward structures
Identifying opportunities to maximize player engagement, satisfaction, and LTV through data-driven recommendations.
Partnering closely with Product, LiveOps, Design, Analytics and Monetization teams to align strategy and execution.
Mentoring junior specialists, reviewing their models, and raising the overall analytical and economic quality within the team.
Owning pricing strategy for in-game goods and currencies and ensuring a healthy balance between free and paid progression.

If digital and product analytics are your world, but you're looking to expand your understanding of the technical side of data and take ownership of how data works behind the scenes, this role is for you. As a Technical Digital Analyst at  technology company, you'll move beyond traditional analytics into building data infrastructure, working with cloud technologies, and creating AI-powered solutions that drive real business impact. This is a role for builders. We don't separate analytics from execution. We believe in people who take ownership, build solutions, and work across the full data lifecycle - from raw data to business impact. You'll work with some of Israel's leading brands while gaining hands-on experience with modern data, cloud, and AI technologies at scale.
Responsibilities:
* Investigate user behavior, funnels, and conversion journeys directly from GA4 raw data in BigQuery
* Build scalable data models and semantic layers that support analytics and business reporting
* Design and maintain automated data pipelines, integrating data from APIs and external data sources
* Work with cloud-based data infrastructure, including Cloud Functions, Scheduled Queries, and Pub/Sub
* Develop and implement AI-powered agents and automation solutions on Google infrastructure
* Build business-focused dashboards and reporting solutions in Looker Studio
* Work closely with leading brands to solve business challenges through data

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.

our company is seeking for an Operational Analyst This role requires Analyzing data from the worlds of logistics and production using ERP ( SAP ), MES, BI, EXCEL, and more. Generating information and insights to improve and streamline processes in production and the worlds of logistics. Support users with SAP problems and characterization of new developments Management, control and implementation of operational indicators (KPI) routines and ensuring compliance with the organization's goals Responsibility for the implementation, updating and control of operational procedures and work routines in warehouses Identification of opportunities for improvement, efficiency and optimization of logistics and operational processes Producing operational reports, building dashboards and analyzing data to produce operational insights Collaboration with internal organizational interfaces, including warehouse managers, TAPI, information systems Full-time position at the company's headquarters in Be'er Ya'akov, no hybrids

we are looking for a Data Analyst.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

we are looking for a Network Data Analyst.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

What will your job look like:
Work closely with developers, product managers, and REM stakeholders to define analysis strategies and support data-driven decision-making.
Develop a deep understanding of REM's large-scale mapping ecosystem, including map creation, validation, and update pipelines.
Build analytical models to estimate map creation timelines, operational costs, and scalability across regions and map products.
Analyze map freshness, update latency, coverage gaps, and map quality to identify opportunities for improvement.
Analyze the impact of fleet size, geographic distribution, and driving patterns on map quality, coverage, and update velocity.
Build scripts, automate analysis workflows, and leverage AI-assisted tools to improve productivity and analytical effectiveness.