לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 124 משרות

Required Analytical consultant, LCS
About the job
Businesses of all shapes and sizes rely on our unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both us and customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust us with their most important goals.Our Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how we can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling our full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive our growth.
Responsibilities
Be the trusted advisor to customers, uncovering their business and marketing objectives and using insights to accelerate their attainment of their objectives.
Create bespoke insights analyses for our biggest customers to identify opportunities to better meet their business objectives and help them make better decisions.
Scale insight best practice from the biggest customers to the rest of the customer portfolio via trainings, processes, narratives and templates.
Co-own at least one area of learning and innovation such as Search/Video as a selling machine for customers, or branding insights, AI for analysts.

Were looking for a sharp and experienced Business Data Analyst to join our Marketing Analytics team. Someone who is deeply passionate about data and turning raw data into clear and actionable insights. With your strong analytical and technical skills, youll help tell the story behind the numbers and better understand how players interact with our games.
Responsibilities:
Analyze end-to-end user journeys from a marketing perspective across all existing titles and future studio launches, using complex datasets, AI tools, and statistical modeling
Own the portfolio-wide marketing analytics ecosystem including collecting, analyzing, reporting and tracking of marketing activities
Optimize user acquisition efforts cross games while creating solutions to the industrys day to day challenges
Apply predictive analytics methods in order to help establish strategic business recommendations
Provide actionable insights to multiple stakeholders across the organization through strategic and operational researches
Build and maintain the marketing data pipeline while creating models and dashboards to help make informed decisions quickly while empowering others to have information readily accessible
Utilize advanced AI workflow tools (e.g., Claude, Cursor, LLMs) to improve workflows and increase efficiency
Collaborate with other teams such as UA (User Acquisition), Product, Monetization, BI, DS, Finance, and more through significant projects.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities:
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

Were looking for a Senior Business Analyst to shape and scale our analytical capabilities across the organization.
This role is responsible for building the analytical foundation that enables trusted decision-making, consistent business metrics, AI-powered analytics, and self-service adoption. Working across multiple business domains, you will define standards, improve how analytics is consumed, and help transform analytics into a strategic business capability.
Job responsibilities
Define and maintain analytical standards, business metrics, and KPI governance across domains.
Drive the evolution of the organizations semantic layer and analytical framework.
Lead cross-functional initiatives to improve the consistency, quality, and scalability of analytics.
Partner with business stakeholders to translate complex processes into trusted analytical assets.
Drive AI adoption within the analytics organization by defining best practices, playbooks, and new ways of working.
Enable self-service analytics by improving data discoverability, documentation, and user experience.
Build reusable frameworks, templates, and methodologies that increase efficiency across the analytics team.
Identify opportunities to simplify analytical workflows and improve delivery quality.
Mentor analysts and promote analytical excellence across the organization.
Act as a thought partner for leadership on analytics strategy, governance, and future capabilities.

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

CodeValue is looking for a Drools / DMN Expert to join a large-scale Enterprise project in the banking and financial services domain. The role focuses on business rules, decision management, and the design of complex decision logic that supports critical banking processes. What You'll Do
* Design and implement business rules using Drools.
* Model business decisions using DMN.
* Design and maintain Decision Tables.
* Translate complex business logic into maintainable rules.
* Separate business rules from application logic.
* Collaborate with analysts, architects, developers, and business stakeholders.
* Support the evolution and optimization of decision management solutions.
Location: Rishon LeZion Work Model: Hybrid – 4 day per week on-site

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments.

This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.


Responsibilities

Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

We are looking for a Financial ERP Domain Leader to join our Finance ERP team. In this role, you will combine accounting and finance knowledge with a hands-on approach to data, systems, and automation - supporting financial data integrity, reporting, and process improvement across our global Finance organization.
How will you make an impact?
Validate financial data accuracy and investigate anomalies across systems
Design and maintain automated reconciliation processes to support the close cycle
Prepare, load, and transform financial data between systems, including large-scale bulk operations, corrections, and migrations
Build and maintain self-service reports and analytics for Finance stakeholders
Work on AI and automation pilots to identify opportunities and improve finance workflows
Support finance projects including system rollouts, process improvements, and M&A integrations
Collaborate with global Finance and IT stakeholders on operational enhancements and system improvements.

looking for a Sales Operations Analyst to join the ISV EMEA Field Strategy & Operations (FSO) team, based in Tel-Aviv. This is a key role that will support ISV EMEA Sales managers as well as Sales Strategy & Operations leaders on running sales processes, implementing new tools and processes, driving productivity improvements across the ISV sales organisation, and running key strategic initiatives.

As an ISV EMEA Sales Operations Mfr, you will work closely with ISV sales leadership to execute critical business processes including revenue forecasting and planning, territory and coverage optimisation, operational process improvement, and strategic project support. This role combines hands-on analytics with operational excellence, where you'll use data analysis and modelling to support ISV Sales Leaders and their teams across EMEA. You'll play a key role in maintaining business health and driving data-informed decisions across the region by leveraging technical expertise and business acumen to analyse complex datasets from multiple sources and deliver reports that directly impact our decision-making processes.

The ideal candidate will have a passion for analysing large sets of data, identifying trends, and translating insights into actionable recommendations. You should be comfortable working in a fast-paced environment, managing multiple priorities, and communicating findings to both technical and non-technical stakeholders.

Key job responsibilities
Revenue Forecasting & Planning - Support the ISV EMEA revenue forecasting process by analysing trends, identifying risks and opportunities, and ensuring forecast accuracy. Partner with ISV sales managers to validate inputs and drive accountability in the forecasting cadence.

Territory & Coverage Optimisation - Assist in the design and analysis of territory plans, account assignments, and coverage models across EMEA ISV segments, ensuring equitable distribution of opportunity and alignment with strategic priorities.

Operational Process Improvement - Identify and implement process improvements that increase ISV sales team productivity and operational efficiency. Streamline reporting workflows, automate recurring analyses, and champion best practices across the ISV EMEA sales organisation.

Strategic Project Support - Contribute to cross-functional strategic projects that drive business growth across ISV EMEA, including supporting go-to-market plans for new ISV segments or verticals, providing analytical input during account planning cycles to identify whitespace opportunities, building business cases for strategic partnerships, analysing the effectiveness of sales incentive programmes, and supporting organisational design initiatives such as the integration of new geographies or ISV segments into existing structures.

We are looking for a Chargeback Analyst to join our Fraud and Payments team. In this role, you will become a domain expert in a growing team and a fast-changing environment. As a Chargeback Analyst, you will work with multiple payment providers and systems, analyze and respond to chargeback disputes, collaborate with different teams, and become a subject matter expert in chargeback and dispute handling and management. You will also play a key role in improving processes and driving operational excellence across the organization.
Responsibilities:
Investigate and analyze payment disputes across multiple payment providers
Review and represent chargebacks and retrieval requests
Build and maintain the operational chargeback data center
Collaborate with Fraud, Customer Service, Finance, and other cross-functional teams to provide winning case responses
Work on cross-team and cross-functional projects to improve operational efficiency
Create and optimize chargeback workflows and operational processes
Monitor performance according to card scheme programs and regulations.

Were looking for a sharp and driven Product Data Scientist 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 Product Data Science 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 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

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.

This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.

What Youll Do
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.

This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.


What youll experience on this team?

Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?

Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

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 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