לוח משרות דרושים Data Analyst בתל אביב יפו, לחיפוש זה נמצאו 66 משרות

We are looking for an ambitious Business Analyst who is passionate about strategy in the tech space. The Business Analyst will support our business strategy and data-driven decision-making in the core market. Proactively guide business growth , quality, and marketplace efficiency using data analytics and business acumen.
Core mission:
To drive our business growth and operational excellence in the core market by leveraging data-driven insights and strategic thinking. This involves optimizing marketplace performance, developing monetization strategies, providing market intelligence, and collaborating with cross-functional teams to implement impactful solutions. The Business Analyst will be a key contributor to data-informed decision-making, ensuring our competitive edge and sustainable success within the dynamic tech landscape.
Responsibilities:
Idntify and solve business problems using analytical skills and business judgment
Responsible for managing and creating Tableau dashboards and driving data accessibility across teams
Develop monetization plans by changing and maximizing market behavior
Optimize the marketplace for optimal performance and growth
Lead strategic projects with senior management and internal units to improve operations
Pricing structures, products, and more
Set driver acquisition targets for the Supply and operations teams
Provide local market intelligence
Enable data-driven decision-making and business performance tracking
Support daily operations with data and business insights.

we're looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.
This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, you'll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.
You'll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.
What You'll Do:
Promote Data-Driven Decision Making
Partner with Product, Growth, Marketing, Sales Operations, and Content teams to understand business challenges and enable better decision-making.
Define KPI frameworks and measurement strategies that align with business goals.
Translate complex business questions into clear analytical approaches and actionable recommendations.
Act as a trusted advisor to stakeholders, challenging assumptions and influencing decisions through data.

We are looking for a Data Analyst to join our data analytics team and take a leading role in shaping data-driven decisions across the company. This is a true all-around role: you'll move fluidly from recurring reporting to complex, open-ended analyses, owning initiatives end to end - from problem definition and data exploration to insights and recommendations. You'll partner closely with teams across the company, including Product, Operations, R&D, Finance, Marketing, Risk, Compliance, Sales, and senior leadership. As a trusted data partner, you'll help stakeholders navigate ambiguous questions, challenge assumptions, and make informed decisions that directly impact our strategy and performance.
What youll do:
Lead complex data analyses to drive strategic business decisions
Translate ambiguous business questions into clear analytical frameworks
Build and maintain scalable dashboards, reports, and data models
Identify trends, risks, and opportunities from large, complex datasets
Present insights and recommendations clearly to senior stakeholders
Define and uphold analytical standards across the team.

We are looking for a detail-oriented and analytical Wallet Reconciliation Analyst (Maternity Leave Replacement) to join our Finance Operations team.
In this role, you will be responsible for ensuring the accuracy and integrity of financial records by performing reconciliations, investigating discrepancies, and partnering with cross-functional teams to resolve issues. You will play a key role in maintaining financial accuracy, supporting operational excellence, and ensuring compliance with internal controls and accounting standards.

we are pioneering the Autonomous Execution Layer for Cloud data & AI Workloads. Our platform dynamically orchestrates clusters, predicts workload bottlenecks, scales resources in real time, and auto-heals infrastructure anomalies for data -intensive and agentic workloads -with zero human intervention. Operating in live production across global enterprise customers, our company delivers mission-critical resilience, sub-second optimization, and true zero-touch infrastructure
Why Join Us Scale-Up Velocity, Core Team Ownership: Backed by top-tier VCs, scaling fast, and running live in Fortune 500 & enterprise production environments, we combine scale-up stability with the high impact, rapid iteration, and meaningful equity upside of an elite core team. Deep Tech & AI-Native Culture: We solve the hardest cloud infrastructure and telemetry challenges. You wont just build dashboards-you will own production-grade data products and drive the core intelligence powering our autonomous engine.
Key Responsibilities
* Dive deep into massive enterprise-scale telemetry and workload datasets to uncover patterns, optimize cloud execution, and steer core product decisions.
* Design, build, and maintain production-grade data pipelines, analytics models, and internal platforms supporting Real-Time autonomous systems.
* Partner directly with engineering and leadership to translate complex multi-cloud performance metrics into actionable platform intelligence
* Develop robust data modeling frameworks, statistical analyses, and high-impact visual interfaces to measure system efficiency and model accuracy.
What We Offer Top-of-Market Compensation: Highly competitive base salary benchmarking top-tier startup talent. Significant Equity: Meaningful early-stage equity grants positioned above market standard. Pure Technical Impact: High agency, zero bureaucracy, and direct ownership over core data infrastructure.
Ready to shape the data engine behind autonomous AI workloads? Hit Apply.

we are looking for a Research Infra Engineer.
As a Research Infra Engineer, you will build and operate the shared platforms that power cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
Youll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
The Responsibilities:
Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
Develop durable pipelines and connectors to bring in and normalize research data sources.
Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
Own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

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.

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

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.