Data Analyst jobs in Israel

Job Description Summary As a SIC (Sales Incentive Compensation) Data Analyst at GE Vernova, you will be responsible for the data governance, system programming, controllership and reporting of sales incentive programs. This role ensures that sales performance data is accurately captured and translated into meaningful incentive payouts, driving sales behavior through precise financial modeling, reporting and auditing. Job Description Roles and Responsibilities • Own Workday Data Quality (Report creation, Workday maintenance, Bonus auditing) • • Weekly Data cleaning of Workday files and auditing for gaps in data quality • • Maintenance of SIC eligibility Database • • Work with People Ops to eliminate errors • • Quarterly preparation of SIC HR file creation • Manage Fusion (SIC Tool) • • Work closely with outside Vendor to manage SIC Programs in Fusion • • P.O. Approvals for Fusion and Oracle Licenses • • Support auditing and testing of new plan document & configuration implementations • • Target Programming • • Plan Publishing in Fusion and follow-up with 1500+ participants to accept plan docs • • Quarterly financial load to Fusion to generate SIC Calcs • • Auditing for reporting capability in Fusion • • Present System Training to all participants quarterly • • Maintenance of Workday inputs into Fusion (quarterly loads for MOR rates, target leverage and salary inputs) • • Managing employee movements in Fusion (transfers, new hires, leavers) • • Ad-hoc reporting as needed • Lead the Pole Sales team KPI Rating process: • • Work with Global Services Leadership team to set KPIs each year • • Manage inputs for quarterly KPI template with Finance • • Publish and track KPI templates • • Ensure all required feedback is completed prior to closing claims or final payout amounts • Reporting & Modeling: • • Run simulation and help build scenarios in design change discussions • • Support SIC accrual reporting • • Manage all data forms to ensure alignment with current org structure • • Coordinate validation of Financial and Target data in quarterly SIC reporting • Payroll: • • Preparation of SIC payment upload templates • • Process all internal and external to WD global Incentive payments working closely with People Ops and local HR teams to ensure Payment accuracy • • Triage any gaps in payments • • Manage SIC payroll calendar files Required Qualifications • Bachelor's Degree in a relevant field such as Business, Finance, HR, or Data Analytics. • Minimum of 3 years of experience in data analytics area, preferably in Human Resources / Total Rewards (incl. creating agents in AI programs) Desired Characteristics • Excel Proficiency: Advanced skills in Excel are essential for this role. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. • Communication: Strong oral and written communication skills. Ability to document, plan, market, and execute programs. • Data Enthusiast: A passion for working with data, including data extraction, transformation, and interpretation. Ability to manipulate complex data & files. • Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. • Communication: Effective communication skills to present complex data in a clear and understandable manner. • Team Player: Ability to collaborate effectively with global SIC and Total Rewards teams. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position Application Deadline: November 27, 2026 For candidates applying to a U.S. based position, the pay range for this position is between $73,000.00 and $109,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on October 30, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual. Candidates should be aware that this role involves a client's critical infrastructure; shortlisted candidates would therefore be subject to heightened security checks as directed by our clients. All personal data will be handled with the utmost confidentiality and in accordance with our data protection policies, solely for recruitment and security purposes.

Job Description As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment. In your day-to-day, you will: • Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization • Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights • Challenge the “why” and “how” of product features, driving data-informed decisions that shape the product roadmap • Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments • Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership • Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation Qualifications • 5+ years of experience as a Product Analyst or Data Analyst focusing on product analytics (preferably in a fast-paced B2B/B2C SaaS or Tech company) • Proven hands-on experience with AI tools and LLMs (e.g., Claude, OpenAI) for analytical workflow enhancement, automated scripting, or data exploration • Deep understanding of product analytics frameworks: user funnels, onboarding optimization, cohort analysis, A/B testing/experimentation, feature adoption, and retention curves • Strong proficiency in SQL and data manipulation tools (Python) • Experience with product analytics and event-tracking platforms (e.g., Amplitude, Mixpanel, Heap) • Exceptional business acumen- ability to connect complex product usage data to core business outcomes and tell compelling data stories • High attention to detail with a track record of delivering accurate, actionable, and impact-driven insights • Comfortable in an agile, fast-paced environment, collaborating seamlessly with Product Managers, Engineers, and UX Designers Additional Information We’re Base44, a newly acquired part of Wix dedicated to revolutionizing software development. Our AI-powered platform enables anyone to create custom software applications using natural language, eliminating the need for traditional coding. Operating as a startup within Wix, we embrace a fast-paced, collaborative environment, solving complex challenges with simple, innovative solutions. Base44 exists to empower creators, solo founders, startups, entrepreneurs, and side hustlers to turn their ideas into reality. Whether it’s launching a product, testing a concept, or exploring an idea, Base44 is here to help make it happen. Customer Care is Wix's first-line, user-facing team, dedicated to helping users solve problems, explore opportunities, and achieve success. We also serve as the voice of the user, delivering insights to improve Wix's products and user experiences.

About Brandlight Brandlight is the leading enterprise AI visibility platform, built to help the world's 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, Brandlight 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 We're 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 Brandlight, and modeling consumer behavior in AI chats using panel data. You'll help clients understand marketing effectiveness through attribution, marketing mix modeling, and incrementally analysis. Internally, you'll analyze product clickstream data to understand how customers use Brandlight and identify opportunities to improve adoption, engagement, and retention. Alongside this, you'll analyze panel and conversational data to understand how people discover brands, explore options, and progress through decision-making journeys in AI chats. You'll 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. Brandlight 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. Requirements 4+ years of experience in data analytics, with a track record of independently delivering analyses that influenced marketing, product, or business decisions. Advanced SQL skills. Strong Python or R skills Hands-on product analytics experience with event-based platforms. Strong statistical foundations, including regression, hypothesis testing, confidence intervals, experimental design, and model validation. Strong visualization and stakeholder communication skills. Proactive ownership, curiosity, and attention to detail. Advantage Experience analyzing panel or longitudinal behavioral data. Hands-on marketing analytics experience (MTA, MMM, and incrementality measurement, etc.) Experience in advertising technology, consumer intelligence, market research, or enterprise SaaS, with familiarity with analytical warehouses and version-controlled analytics workflows. Why join us At Brandlight, you'll build and shape a new category at the intersection of AI, marketing, and commerce. We're a fast-growing startup led by repeat entrepreneurs, world-class engineers, and marketing leaders, all driven to reinvent how brands are built, discovered, and chosen in the age of AI.

Join one of Israel's leading financial organizations as a Senior Systems Analyst - DWH within its CTO Division. Take part in complex, large-scale information systems projects in a dynamic environment, working closely with business and technology teams across the organization. What You'll Do Lead end-to-end systems analysis for DWH solutions, from business requirements to detailed technical specifications. Write complex PL/SQL queries and functions in an Oracle environment. Gather and analyze business requirements, including Source-to-Target mappings. Specify API services and system interfaces. Collaborate with business users, development teams, and stakeholders across the organization. Requirements 5+ years of DWH systems analysis experience in financial organizations - Must Proven experience writing complex PL/SQL queries and functions in Oracle - Must Experience in business requirements analysis, Source-to-Target mapping, and working directly with business users and stakeholders - Must Experience in API service specification - Must Bachelor's degree in Industrial Engineering, Information Systems, or a related field - Preferred (Engineering background is an advantage) Ability to work independently and as part of a team, with strong service orientation

This is a rare opportunity to be the person who introduces a new technological capability to a business division that touches millions of customers - turning data into insights and insights into revenue-driving projects. Join a leading Israeli organization as a Marketing Data & AI Analyst, bringing AI agents and modern AI tools into a dynamic Marketing & Customer Experience division. This is an opportunity to introduce a new way of working with data – using AI to ask better questions, uncover meaningful insights, and turn those insights into initiatives that improve customer experience and drive business results. What You'll Do: Work hands-on with AI agents, Claude and other GenAI tools to access, analyze and interpret organizational data. Build and refine AI-powered workflows and prompts that transform business questions into actionable insights. Identify high-impact business opportunities and translate data and AI insights into practical recommendations and initiatives. Lead cross-organizational projects from insight to execution, working closely with Marketing, Commerce, Customer Service and Contact Centers. Present findings to stakeholders and senior management and drive initiatives forward across a complex organization. Continuously explore new AI capabilities and challenge existing ways of working. Requirements: Up to 3 years of relevant experience – Must Hands-on experience working with Generative AI, AI agents, LLM workflows and/or Prompt Engineering - Must Strong ability to analyze data, identify patterns and independently derive business insights - Must Experience with data analysis tools such as SQL, Python, Power BI, Tableau or similar - Advantage Strong business mindset and genuine interest in Marketing, Customer Experience and business growth - Must Ability to take ownership and lead projects end-to-end, including working with multiple stakeholders and driving execution Excellent interpersonal skills and ability to navigate and influence within a large organization High level of curiosity, independence and learning agility Ability to prioritize high-impact opportunities, manage multiple initiatives simultaneously and work with a fast time-to-market

Bylith’s Israel Product Quality team. The team is responsible for the Quality Assurance of multiple SaaS products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment. Our products are in use by millions of users worldwide, delivering smart and intuitive experiences that put the user at the center. We are looking for a Product Analyst to join our team. Responsibilities: Requirement gathering and gap analysis. Writing high-level and detailed specification documents. Responsibility for translating customer demands to actionable feedback for R&D while tracking overall quality, performance, and maintainability. Collaborating with product owners, project managers, and R&D teams to resolve issues and ensure solutions are viable and consistent. Analyze, design, and implement IT solutions to improve Bylith global business efficiency and productivity. Improve business models and business data flows. Translate internal user and business needs and demands into the right solutions. Qualifications: B.Sc. in Industrial Engineering (Information Systems major). Familiarity with CRM, WMS and Workflow Automation systems. Excellent analytical skills, combined with a broad and comprehensive business vision. Ability to think strategically, analyze and interpret product behavioural data to grow the business. Readiness to work in a high-paced, dynamic, and challenging environment. Strong communication and interpersonal skills, with proven story-telling skills. Quick-thinking, fast learner and problem solver. Fast and self-learner with the ability to work independently. Master abilities in Microsoft Office tools. Excellent English communication skills spoken and written. Strong interpersonal skills and a very proactive approach. Experience with SQL and other database solutions. Personal Qualities: Passionate about learning and always seeking opportunities to expand your knowledge A self-starter with great instincts and the ability to discern upcoming needs Outgoing and personable and takes pride in being a positive, helpful presence around the office A team player with the time management and organizational skills to work independently as well

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We are looking for a sharp and passionate Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that you'll then see implemented. We encourage the use of AI tools and expect our Data Analysts to leverage them alongside strong hands-on analytical skills. Responsibilities Use statistical and mathematical methods to recommend new ways to optimize and maximize player retention and game revenue. Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert. Build dashboards and reports to facilitate understanding of key business metrics and players' experience. Work closely with developers and product teams to execute new features and processes that optimize user experience. Requirements Minimum of 4 years experience in business analysis, product analysis, or a related field. At least 4+ years' experience in B2C analyzing large datasets centric role B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background. Strong SQL with experience in querying large complex data sets - must have. Strong statistical and mathematical background - Advantage Vast knowledge in A/B testing including statistical methods Hands-on experience using AI tools for analytics. Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical teams. Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) - Advantage.

We’re looking for an experienced and versatile Data Analyst to join our BI & Analytics team. In this role, you’ll partner closely with stakeholders across Sales, Marketing, Product, and Finance, owning analytics projects end-to-end from scoping to delivering insights, dashboards, and recommendations that drive measurable outcomes. Responsibilities Own end-to-end analytics projects: collaborate with stakeholders, define success metrics, and provide actionable recommendations. Translate business needs into metric definitions and data models; build reliable reporting layers and maintain clear documentation. Design, build, and maintain BI dashboards (e.g. funnels, KPI monitoring), ensuring accuracy, clarity, and adoption. Conduct deep-dive analysis to identify trends, anomalies, root causes, and growth opportunities across key business areas. Drive automation and operational improvements by leveraging AI tools alongside SQL and Python scripting. Scale our semantic layer and develop a company-wide AI data agent that answers business questions and delivers trustworthy analysis. Communicate insights to technical and non-technical audiences, influencing strategic decisions through clear, data-backed storytelling. Requirements 5+ years of experience in data analytics. Excellent SQL skills. Experience with BI tools (preferably Tableau). Experience in DWH design and data modeling. Experience with semantic layers or developing AI-powered analytics solutions – advantage. Experience with Python – advantage. Experience with dbt and Git – advantage. Excellent analytical and problem-solving skills. Self-starter with the ability to work independently in a fast-paced environment. Strong communication skills in Hebrew and English.

Appcharge is a leading direct-to-consumer platform for app publishers. We help publishers sell digital goods directly to their users – bypassing traditional app store commissions and owning the full payment and commerce experience. The result: higher margins, better flexibility, and a more direct relationship with end users. Backed by $89M from leading investors and operators, we've grown 14x in the past year and now process over a billion dollars annually. We're building the infrastructure that lets modern app businesses take back control of monetization – at scale. Responsibilities Own and define key product, business, and customer KPIs across the company Analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points Build and maintain dashboards and reports that give teams clear, reliable visibility into performance Partner with Product and Business to evaluate new features, initiatives, and experiments, and measure their impact Drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data-informed decision-making. Work closely with engineering and data stakeholders to improve data quality, structure, and accessibility Help foster a data-driven culture by making insights understandable and actionable for non-technical stakeholders Requirements 4+ years of experience as a Data Analyst / Business Analyst - Must Strong hands-on experience with SQL - Must Experience working with BI / visualization tools (e.g. Looker, Tableau, Power BI, Metabase, or similar) Proven track record of translating data into clear business insights and recommendations Experience in gaming or B2C user-centric products - Must – strong focus on user behavior analysis, conversion funnels, and feature performance. Strong analytical skills, including working with large datasets and complex models Excellent communication skills, with the ability to simplify complex findings for different audiences Self-driven, curious, and comfortable working in a dynamic, high-growth startup Experience with Python for data analysis (e.g. pandas, notebooks) and/or AI-based tools for analytics (e.g. AI copilots, LLM-powered analysis) - Advantage

About this role Mize provides AI-driven revenue infrastructure for travel companies. Our technology enhances every step of the booking cycle and every vertical you sell. By combining predictive algorithms, synthetic availability, dynamic liquidity and a powerful rules engine, Mize helps travel brands unlock new revenue, stabilize their margins and scale their operations. With 10 years in the industry, founded in 2016 and headquartered in Tel Aviv, Mize supports 350+ clients worldwide and has generated hundreds of millions in incremental profit for the travel industry. We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities. Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center. Responsibilities: Analyze data in our flagship product to uncover trends and deliver actionable insights. Build and maintain BI dashboards and reports for decision-making. Design efficient processes and standards for streamlined operations. Translate business questions into clear, measurable analyses. Ensure data quality through risk evaluation and QA practices. Monitor operational performance and recommend improvements. Integrate and manage data structures to support growth and scalability. What we're looking for 3+ years proven experience as a Data Analyst. Proficient in SQL and Excel; experienced with BI tools. Strong background in data analytics and reporting. Excellent analytical skills with the ability to work independently and under tight deadlines. Advanced English communication skills. Curious, eager to learn, and resilient—able to grow from mistakes. Skilled at understanding complex flows and providing creative solutions. Multi-tasking, self-driven, highly motivated, and strong team player. Experience working within the Travel-tech industry is a big plus.

Who we are Faye is the fastest-growing travel protection company in the U.S., and the highest-rated by travelers who use it trip after trip. We've raised $100M to build the autonomous platform for traveler care: insurance, travel care, real-time information, and finance in one place, powered by AI and a team that moves fast. We're there for travelers throughout their entire journey, from the moment they book to the moment they're back home. The bar is a 6-star experience, 24/7: near-instant payouts, an award-winning app and real support when travel goes sideways. It's hard to pull off. That's the point. Come build what's next with us. What we're looking for Faye is looking for a Senior Product Analyst to help Faye build smarter, move faster, and make better product decisions through data. You're deeply data-driven and love turning analysis into meaningful business insights that shape strategy and drive impact. Sitting at the intersection of Product and Data, you'll own product analytics across the department. You'll develop a deep understanding of our customers, products, and business, turn complex data into clear insights, and help Product Managers uncover opportunities, prioritize confidently, and measure what matters. This is a hands-on role in a fast-moving startup, with real ownership, high impact, and strong exposure to cross-functional leaders. Responsibilities Become an expert on our products, customers, and business. Partner closely with Product Managers on high-impact questions, and support them with insights and ad hoc data requests. Define, track, and evolve core product KPIs across key journeys and flows. Analyze funnels, cohorts, feature adoption, user behavior, and customer drop-offs. Identify friction points and translate them into clear product and business recommendations. Design and analyze A/B tests and product experiments. Measure the impact of product launches, feature changes, and customer experience improvements. Build dashboards and recurring insights using Tableau, Mixpanel, Snowflake, dbt, and AI tools or LLM engines. Uphold a high bar for rigor and accuracy, so the numbers that reach stakeholders are right and well understood. Communicate findings clearly to technical and non-technical stakeholders. Partner with Data and Engineering to improve tracking, event instrumentation, and metric definitions. Take part in the team's effort to bring AI into how we work. Requirements 4+ years of experience in product analytics roles. Strong SQL skills and comfort working with large, real-world datasets. Experience analyzing product funnels, cohorts, customer journeys, and feature usage. Strong understanding of product metrics such as conversion, activation, engagement, retention, usage, and customer satisfaction. Experience with A/B testing, experimentation, and product measurement. Experience with tools like Tableau, Mixpanel, dbt, and Snowflake, or similar. A strong sense of rigor and accuracy, and care for data quality and clear metric definitions. Excellent communication skills, with a track record of making data clear and actionable for non-technical stakeholders. Ability to connect product behavior with customer experience and business impact. Comfortable working directly with Product, Data, and leadership stakeholders. Curiosity about using AI to work faster and smarter, and openness to adopting it as part of a team effort. Python or R experience for deeper analysis is a plus. A relevant academic degree or equivalent hands-on experience. Experience in consumer products, travel, insurance, fintech, or customer-facing digital products is a plus. What makes you a great fit You're curious about how customers behave, not just what the dashboard says. You have exceptional business understanding and naturally connect data to the bigger picture. You move fast, really fast, without compromising accuracy. You know how to turn messy product data into clear decisions. You communicate clearly, challenge assumptions respectfully, and help teams move faster with confidence. You're pragmatic, impact-driven, and excited to help build better travel experiences at scale. You're excited to use AI to work smarter and help shape how we use it across the team.

We are looking for a Senior Solutions Analyst to join our Cloud team in Jerusalem, Israel. This is an exciting opportunity to work at the heart of enterprise integrations, partnering with product owners, support teams, incident management, problem management, and technical stakeholders to enhance critical business systems and services. The role focuses on translating business needs into scalable solutions, driving continuous improvement, and supporting a globally distributed environment that operates around the clock. We would love to speak with professionals who bring strong business analysis, data analysis, and stakeholder management skills, along with experience in complex technical and operational environments. About You • Bachelor's degree or equivalent experience. • At least 5 years of experience in Business Analysis, Solutions Analysis, MIS, Industrial Engineering, or related field. • Experience gathering, documenting, and analyzing business and system requirements for medium-to-large-scale initiatives. • Experience working with alert monitoring, ticket management, or operational support environments. • Experience translating technical concepts for non-technical stakeholders. • Experience creating functional and non-functional requirements, process flows, and other Agile delivery artifacts. • Experience collaborating with cross-functional teams, including Product, Engineering, QA, UX, Architecture, and Operations. It Would Be Great If You Also Had... • Experience working with enterprise integration platforms or complex system ecosystems. • Familiarity with incident management, problem management, and service operations processes. • Experience supporting globally distributed teams and 24/7 business-critical environments. • Knowledge of data modeling and solution design methodologies. • Experience mentoring junior analysts or contributing to analyst communities of practice. What Will You Be Doing in This Role? • Partner with stakeholders to elicit, analyze, and document business requirements and translate them into effective solution designs. • Lead requirements discussions and collaborate with Product Owners, Developers, QA teams, UX professionals, Architects, and Delivery Managers throughout the delivery lifecycle. • Analyze business processes, systems, and operational data to identify opportunities for optimization and improvement. • Create and maintain detailed Agile documentation, including functional and non-functional specifications, workflows, acceptance criteria, system flows, and data models. • Support solution validation, testing, defect troubleshooting and resolution, and continuous improvement initiatives while mentoring junior team members. About the Team The Cloud team plays a critical role in ensuring seamless connectivity and operational excellence across key business systems. The team works closely with Product Management, Support, Incident Management, Problem Management, and enterprise stakeholders to identify needs, drive integration initiatives, and resolve complex business challenges. This role offers significant exposure across multiple functions and the opportunity to influence solutions that support internal customers globally. Hours of Work • Full-time, permanent position. • Hybrid work model based in Jerusalem. • Standard local business hours, with collaboration across global teams and occasional flexibility to support a 24/7 operational environment. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Who We are DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you have ever seen an Ad online via a web, mobile, or CTV device, then there are great chances that it was analyzed and measured by us. We operate at a massive scale; our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in less than a fraction of a second. We are global and have R&D centers in Tel Aviv, New York, Helsinki, Ghent, and Paris. We work in a fast-paced environment and face many challenges to solve. If you like to solve big data challenges and want to help us build a better industry, then your place is with us! What You’ll Do The Senior Product Analyst is a key player in the Product department and helps drive data-driven decisions across different product domains. The Senior Product Analyst role includes bridging our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems querying and analyzing data, evaluating feature alternatives, designing experiments, and planning and creating dashboards. The individual in this role will work directly with Product Managers to support product decision questions and analyses. This role owns the Classification & Brand Safety analytics domain for Open Web — the content ontology, site/page classification pipelines, and brand-safety suitability metrics that underpin our brand safety product suite. It also carries an explicit mandate to grow the team's analytics engineering maturity and to help design the next generation of AI-assisted / agentic analytics workflows that are replacing purely manual, reactive reporting and support. This role is part of a professional Product Analysis group supporting core products serving advertisers and publishers across the digital landscape. The role requires big data analysis, attention to detail, business understanding, and strong product intuition. Communication skills are incredibly important, as the position interfaces across functions and geographies. Job Responsibilities • Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations. • Communicating state of business, experiment results, etc. to product, data science and engineering teams. • Defining and monitoring key product metrics & system health, conducting root cause analyses. • Asking business and product-relevant questions and answering them with data. • Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues. • Supporting and extending internal AI-driven recommendation systems for brand safety insights ; building the underlying data foundations, decision matrices, and parameterized SQL libraries that power agentic/conversational reporting tools, and helping identify and mitigate failure modes (e.g., hallucinations and AI Slop) in these agentic flows. • Building, testing, and maintaining analytics-engineering-grade data pipelines. • Leading or supporting high-visibility client escalations and QBRs with the Operations team (e.g., major advertiser recall/precision reviews), translating methodology into clear, defensible findings for external and internal stakeholders. Who You Are • BA/BSc degree. • 5+ years of experience with quantitative analysis. • Extensive hands-on experience with SQL • Hands-on experience with Python (for data manipulation), Excellent understanding of statistics (e.g., hypothesis testing, regression types). • Hands-on experience with, or strong motivation to develop, analytics engineering skills — building and maintaining DBT models (or equivalent), including staging/intermediate/mart layering, tests, and documentation. • Capable of working simultaneously on multiple tasks. • Comfort working with large-scale cloud data warehouses (Databricks, BigQuery, Snowflake) and BI/semantic layers (Looker/LookML). • Working familiarity with AI/LLM-assisted analytics workflows — e.g., using AI coding assistants (Claude Code, Cursor) for query and pipeline development, and a basic understanding of the difference between deterministic metric logic and probabilistic agentic systems, including their failure modes (hallucinations, prompt drift etc.) • Excellent verbal and written communication skills in English. Preferred Qualifications • BA/BSc in a quantitative field: Statistics / Mathematics/ Economics /Computer Science, Physics/ Biology/ Psychology/ Chemistry/ Engineering, or other technical fields. • MA in a quantitative field • Hands-on dbt project experience (models, tests, macros, CI/CD via GitLab) and familiarity with analytics engineering best practices (semantic layer design, gold-table modeling, data quality/QA frameworks). • Experience designing or contributing to agentic/AI-assisted reporting tools (e.g., data contracts for LLM-driven report or recommendation generation, prompt design, retrieval pipelines). • Experience with Git-based version control and CI/CD for analytics code (GitLab CI/CD or similar).

Description Keshet Media Group is looking for an experienced Senior Data Analyst to join our Commercial Division and build a new role that will play a key part in strengthening our analytical capabilities. This role requires a strong combination of technical expertise and a business-oriented mindset, with the ability to lead data-driven decision-making across the domain. The position involves working independently while driving analytical initiatives, alongside close collaboration with commercial, product, finance, BI, and data teams. Role Description: • Measure and analyze media commercial activity, including traffic, inventory, pricing, demand, product performance, and monetization opportunities • Create reports, dashboards, and analyses that provide a clear and comprehensive business view • Identify trends, generate insights, and propose strategic recommendations to support business decisions • Translate complex business questions into clear, actionable data insights • Define analytical and technical requirements in collaboration with internal stakeholders • Improve workflows and analytical processes to enhance business and operational performance • Work closely with commercial, product, finance, BI, data, and other cross-functional teams • Support optimization decisions around inventory utilization, product prioritization, and commercial potential Requirements Requirements: • Minimum of 3 years of experience as a Data Analyst or in a similar analytical role • Strong SQL proficiency • Strong analytical skills and ability to translate data into business insights • Experience creating reports, dashboards, and business analyses • Familiarity with visualization tools such as Tableau, Looker, Power BI, or similar platforms – advantage • Strong business orientation and ability to work with both business and technical stakeholders • Excellent communication and teamwork skills • Proactive, independent, and able to drive processes in an evolving analytical environment

Description Join Enlight’s Data & Analytics team and turn complex operational data into actionable insights that improve the performance of our global renewable energy portfolio across PV, BESS, and Wind. You’ll analyze SCADA, meteorological, metering, and market data to identify trends and anomalies, build meaningful KPIs and dashboards, and support data-driven decision-making. The role combines hands-on data analysis with data integrations, automation, and AI-driven workflows to deliver reliable and scalable analytical solutions. Responsibilities • Analyze real-time and historical data to identify performance trends, anomalies, and inefficiencies, and support root-cause analysis. • Design and build reports, dashboards, and visualizations to drive data-driven decision-making. • Define, model, and maintain KPIs used to measure asset performance. • Ensure data quality and reliability through validation, monitoring, and detection of data gaps and sensor faults. • Work with ETL/ELT pipelines, APIs, and external data sources to support analytical needs. • Build automated and AI-driven workflows to improve analysis, monitoring, and operational efficiency. • Collaborate with technical teams, asset managers, and stakeholders to improve portfolio performance. Requirements • B.Sc. in Computer Science, Information Systems, Engineering, or a related field. • 2–3 years of experience in data analytics, analytics engineering, or a related role. • Strong SQL skills and hands-on experience with Python. • Experience with BI tools (preferably Power BI), including building well-structured dashboards and reports. • Experience working with ETL/ELT processes, APIs, and data integrations. • Hands-on experience using AI tools for data analysis, coding, automation, or agent-based workflows. • Familiarity with cloud data platforms (preferably Microsoft Azure) – an advantage. • Analytical, detail-oriented mindset with strong problem-solving and communication skills.

Description What we are looking for: The Customer Service organization at Nova is looking for a highly analytical and business-oriented Data Analyst to support our Customer Service and Technical Support organization. In this role, you will be responsible for transforming business, operational, and customer data into actionable insights that improve customer experience, service efficiency and effectiveness, and business outcomes. Role Responsibilities What will you be doing: Business Performance Analysis • Analyze customer service SAM, revenue, and GM, and monitor service business results, trends, risks, and opportunities per territory, division, and revenue category. • Maintain KPIs, scorecards, and dashboards for service business managers and executives. • Support strategic decision-making through data-driven recommendations. Technical Support Analytics • Analyze case and ticket data to identify recurring technical issues and improvement opportunities. • Track support metrics such as case volume (including MTBF and MTBI), resolution time (MTTR), First Contact Resolution (FCR), etc., to support engineer productivity. • Partner with Product, Engineering, and Service teams to identify trends and reduce support demand. Reporting & Dashboard Development • Design, build, and maintain interactive dashboards using Power BI, Tableau, or similar BI tools. • Automate recurring operational reports and metrics. • Create executive-level presentations and performance summaries. Forecasting & Workforce Insights • Develop forecasting models for case volume, staffing requirements, and workload planning. • Support workforce management and capacity planning initiatives. • Identify seasonality patterns and emerging customer support trends. Requirements • Bachelor's degree in Data Analytics, Statistics, Economics, Business Administration, Information Systems, Computer Science, Engineering, or a related field. • 3+ years of experience in Data Analytics, Business Intelligence, or Operations Analytics. • Proven experience analyzing large datasets and delivering actionable business insights. • Experience with forecasting, trend analysis, statistical analysis, and KPI management. • Strong proficiency in Power BI or similar BI platforms. • Experience with Excel (advanced formulas, Power Query, Pivot Tables). • Experience working with CRM and support platforms such as Oracle, Salesforce, or similar systems. • Familiarity with AI, Copilot, automation, and self-service analytics. • Experience supporting Customer Service, Technical Support, Customer Success, or Operations organizations – an advantage. • Experience in a large-scale customer support organization – an advantage. • Fluent English. That special something you bring in: • Strong analytical skills combined with business acumen. • Good understanding of customer service operations. • Strong problem-solving and critical-thinking abilities. • Ability to convert complex datasets into clear business recommendations. • Ability to effectively communicate insights to technical and business stakeholders. Get to know us better: Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing. With a team of ~1200 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world. Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, managing critical challenges by providing unique, differentiated solutions. Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology. Join us if you are A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs. If you need assistance due to a disability, you may contact us at [email protected]

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We’re looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology. At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up). Requirements • You have excellent communication and storytelling skills to transform complex datasets into meaningful insights for non-technical audiences. • You have at least 2 years of experience in Tableau(Must), including building reports, creating dashboards, and working with Tableau Prep and overall at least 4 years of experience in data analytics • You’re a team player, ready to support others and ensure deadlines are met. • You are proficient in SQL (BigQuery and Dataform experience is a plus) and have experience working with ETL processes, integrating data from multiple sources. • You are confident working with large-scale datasets and understand how to optimize query logic, indexes, and joins for performance. • You possess strong analytical skills and can break down ambiguous problems into actionable solutions. • You hold a B.Sc. or Master’s degree in Economy, Statistics, Mathematics, or a related field. • You have experience with Tableau Server administration (e.g., user management, performance monitoring, and troubleshooting). • You are eager to continuously learn and adapt to new challenges. Nice to have: • Experience with Python libraries such as pandas, numpy, matplotlib, or plotly. • Domain knowledge in following industries: airlines, transportation, logistics or vacations

Job Description Summary About This Role Government contracts demand precision — and the people who manage indirect rate compliance are the ones who make it possible. As a Senior Analyst focused on Indirect Government Rates, you will own and continuously improve the end-to-end indirect rate process across two legal entities, ensuring GE Vernova Hitachi Nuclear Energy’s (GVH) government cost submissions are accurate, defensible, and audit-ready. This is a role where your technical depth in government cost accounting directly shapes compliance outcomes. You will serve as the primary liaison with external auditors and consultants. You will partner with internal stakeholders in Finance, Human Resources (HR), and Operations, to drive lasting improvements to the processes and controls that uphold GVH’s government contracting obligations. Job Description Who You Are You are a detail-oriented government cost accounting professional with significant experience in indirect rate development and a track record of navigating complex regulatory environments with confidence. You communicate clearly, work independently, and bring a continuous improvement mindset to established processes. Required • Bachelor's degree in Accounting, Finance, or a related field — or equivalent experience (see Education note below) • At least 5 years of experience specifically in government accounting or government cost reporting • At least 8 years of experience in financial accounting, financial planning and analysis (FP&A), or a related finance function Preferred • Proven experience developing and improving indirect rate processes in a government contracting environment, with working knowledge of FAR, CAS, and related regulations • Experience interfacing directly with DCAA, DOE, DCMA, or other U.S. government agencies in an audit or compliance context • Advanced proficiency in Excel, including complex financial modeling, pivot tables, and large dataset analysis; experience with enterprise resource planning (ERP) systems such as SAP, Oracle, or Hyperion • Professional certification such as Certified Public Accountant (CPA) or Certified Management Accountant (CMA) Education A formal education and subsequent Bachelor's or Master's degree in Accounting or Finance is nice to have, but we are most interested in your total experience and professional achievements. Additional Information This role requires access to U.S. export-controlled information. Final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Why GE Vernova GE Vernova employees rise to the challenge of building a world that works. In order to meet this mission, we provide varied, competitive benefits to help support our workforce. Our benefits are designed to reward high performers and help you manage your personal and family needs. We offer a robust benefits package depending on your employment status and your national requirements. A healthy, balanced lifestyle can mean different things to different people. We've created programs that support the way you live and work today. GE Vernova invests to provide opportunities to grow your career by providing a path for continued on-the-job learning and development. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. ​ Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position For candidates applying to a U.S. based position, the pay range for this position is between $124,900.00 and $208,100.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on October 27, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Are you passionate about using data to shape products played by millions of people around the world? Do you enjoy uncovering player insights, designing experiments, and influencing product decisions with data? If so, we'd love to meet you! We're looking for a Senior Product Analyst to help shape the future of Stumble Guys, one of the world's leading mobile games. You'll join a team of Product Analysts and Analytics Engineers, partnering closely with Product Managers, Game Designers, Data Engineers, and Developers to turn player behavior into actionable insights. From event instrumentation and data modeling to A/B testing and deep-dive analyses, you'll help answer our most challenging product questions and directly influence the future of the game. If you're excited about working on a game played by millions of daily active users (just ask your younger cousins - they're probably already playing!), we'd love to hear from you! We also work with a modern analytics stack including Google Cloud Platform, BigQuery, Looker and Hex. What You Will Do • Analyze large and complex datasets to understand the behavior of millions of players and answer strategic product questions. • Partner closely with Product, Game Design, Engineering, Marketing, and Leadership to drive data-informed decisions. • Design, analyze, and communicate A/B tests to evaluate new features and optimize player experiences. • Develop frameworks, dashboards, and analytical tools that empower teams to make better product decisions. • Generate actionable insights that improve player engagement, retention, monetization, and overall game performance. • Define and validate event tracking to ensure high-quality product analytics. • Present findings and recommendations to cross-functional stakeholders and leadership What We're Looking For • Significant experience working as a Product Analyst, ideally in gaming, mobile apps, or other consumer digital products. • Strong SQL skills and experience working with large-scale datasets. • Experience with experimentation (A/B testing), product analytics, and statistical analysis. • Intellectual curiosity with a passion for solving complex business problems through data. • Excellent communication and storytelling skills—you can translate complex analyses into clear recommendations. • Python or R experience is a plus. • Fluent English, written and spoken. Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization. We are looking for a Data Analyst to own the intelligence layer on top of Zipher's autonomous execution engine. You will turn enterprise-scale telemetry from production data and AI workloads into the metrics, models, and answers that engineering, product, and executives run on. What You'll Do Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency Define and instrument the product KPIs and dashboards used daily by engineering, product, and the executive team Build and maintain production-grade data pipelines and models on enterprise-scale telemetry — Databricks/Spark, logs, metrics, and traces Partner closely with backend and ML engineers to translate complex multi-cloud performance data into actionable platform intelligence Run deep-dive analyses and experiments that validate features, quantify impact, and uncover new optimization opportunities What We Offer A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one: real architectural influence, direct exposure to founders, and responsibility for mission-critical systems Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the data engine behind autonomous AI workloads? Hit Apply. What You'll Bring Experience in an elite IDF technology/intelligence unit (e.g. 8200, Mamram, Matzpen) 3–6+ years in Data Analytics, Product Analytics, or Analytics Engineering, including ownership of analysis that drove real product decisions Advanced, production-level SQL and strong Python (pandas, numpy; scikit-learn is a plus) Proven experience with large-scale datasets, scalable data models, and end-to-end data products running in production Strong applied statistics and exploratory analysis, plus the technical storytelling to make findings land with non-technical stakeholders A high-agency, engineering-first mindset: you enjoy ambiguous, high-leverage problems and take responsibility for the correctness and quality of what you ship Nice to Have Experience with Databricks, Snowflake, Spark, AWS Athena/Glue, dbt, or Airflow/Prefect Background in cloud infrastructure metrics, compute engines, or MLOps/AIOps telemetry B.Sc. in Computer Science, Industrial Engineering, Statistics, or Mathematics, or equivalent