לוח משרות דרושים Data Analyst משרה מלאה, לחיפוש זה נמצאו 130 משרות

we are building the future of AI-powered software development. Our tools help engineering teams write better code, ship with more confidence, and move faster - without sacrificing quality. From intelligent code review to AI-driven test generation, our company sits at the intersection of developer tooling and cutting-edge AI. Were a fast-growing, product-led company trusted by thousands of developers and engineering teams worldwide.
Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.
Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels
Turn raw product and usage data into clear, consistent metrics the team can trust
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time
Build and maintain dashboards so teams can self-serve answers
Run deep-dive analysis to surface opportunities and support product decisions and experimentation
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics
Take analyses from problem definition through to clear recommendations, not just reports.

we are seeking a senior leader to establish and grow its Databricks practice. This is a unique opportunity to build and lead a strategic Data & AI capability within a leading consulting firm, shaping its vision, offerings, team, and market presence.
The role combines business leadership, solution architecture, and client engagement, helping organizations leverage modern Data & AI platforms to drive transformation and innovation.
Job description
Lead and expand EY's Databricks practice, including strategy, capability development, team growth, and go-to-market initiatives.
Design and oversee enterprise-scale Data & AI solutions, including Lakehouse architectures, data modernization programs, and AI-driven platforms.
Build trusted relationships with senior stakeholders, lead business development efforts, and drive complex technology engagements.
Lead the successful delivery of large-scale Data & AI projects while mentoring and developing high-performing teams.

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

abra professional services is seeking a Project Manager! We are looking for an experienced Technological Project Manager to lead end-to-end development and implementation of AI solutions within a complex, multi-interface technical environment. This role requires a unique combination of technical and architectural understanding, strong client- and business-facing skills, and the ability to manage and drive development teams and vendors. Key Responsibilities
* Lead technological projects from business requirement identification through definition, architecture, development, testing, deployment, and adoption.
* Translate business needs and objectives into functional/technical specifications and actionable development tasks.
* Drive projects focused on AI technologies, including integrating AI solutions into organizational workflows and legacy/enterprise systems.
* Work closely with system architectures, integrations, APIs, and cross-system interfaces.
* Oversee day-to-day execution in Jira—managing backlogs, sprint planning, task prioritization, dependencies, status updates, and progress tracking.
* Maintain ongoing communication with business owners and clients, managing expectations, requirements, and executive status reporting.
* Motivate and coordinate cross-functional development teams, internal departments, and external vendors to hit deadlines and deliverables.
* Concurrently manage multiple projects and interfaces, proactively identifying risks, bottlenecks, and mitigation strategies.
* Oversee UAT testing, production deployment, and system integration.

Who We're Looking For - The Dream Maker We’re looking for a hands-on Senior BI Analyst to own Chargeflow’s BI layer end to end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers. You’ll work across Product, Finance, Operations, and Leadership to define how the company measures performance and ensure that teams rely on consistent, accurate data rather than one-off reports or conflicting spreadsheets. This role is for someone who goes beyond building dashboards: you’ll establish the definitions, models, quality standards, and reusable BI assets that make reliable self-service analytics possible at scale. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Own the company’s BI layer end to end, from translating business questions into metric specifications to delivering trusted dashboards and certified datasets.
* Define, standardize, and document company KPIs, including their logic, grain, filters, ownership, and edge cases.
* Build and maintain accurate, performant dashboards that surface trends, risks, opportunities, and root-cause signals—not just charts.
* Design and maintain a semantic and metrics layer with consistent entities, dimensions, datasets, and business definitions.
* Create a reliable foundation for self-service analytics and LLM-powered exploration of company data.
* Implement data-quality checks, anomaly detection, testing, and alerts to identify issues before they affect business decisions.
* Investigate discrepancies between reports and source systems, identify root causes, and drive issues through resolution.
* Maintain a clear KPI glossary and metrics dictionary, with structured change management and communication.
* Establish and manage a BI intake and prioritization process, communicating tradeoffs, dependencies, and timelines clearly.
* Partner closely with Product, Finance, Operations, and Leadership to understand their goals and translate them into scalable BI solutions.
* Reduce reliance on one-off data pulls by building reusable, certified assets that make future requests faster and more consistent.

we are looking for a Data Analyst
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

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

Required Algorithm Analyst & Tools Developer
Join us and help evaluate the performance of cutting-edge technologies powering the future of autonomous driving.
As an Algo Analyst & Tools Developer, you will validate the quality of complex algorithmic systems and build the infrastructure to analyze them.
You will examine large-scale data collected from drives all around the world, investigate system behaviors, and generate actionable insights.
Beyond traditional analysis, this role includes designing and developing AI-powered analysis tools that will help streamline and boost the productivity of our analysis and validation efforts.
What will your job look like:
Develop diagnostic tools for performance and quality metrics analysis.
Work to boost analysis efficiency by deploying AI-powered tools.
Develop and maintain automated analysis and monitoring workflows.
Present clear findings and recommendations through reports and summaries.
Collaborate with algorithm developers and product managers to validate new developments and drive future improvements by proactive problem finding.