לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 87 משרות

implementation of bw reports and cubes within an SAP - ERP environment. development of reports and dashboards using standard bw tools, as well as the implementation and development of reports using business objects (bo).
עוד על התפקיד:
the role involves the implementation and development of bw reports and cubes in an SAP - ERP environment. the candidate will be responsible for establishing bw infrastructure and developing operational and managerial reports. familiarity with the business objects (bo) development suite is required.

We are looking for a Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the companys overall performance across customers.
The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization.
The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges.
Responsibilities:
Define, implement, and maintain event tracking, attributes, and properties across web and product platforms
Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities
Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues
Monitor KPIs related to conversion, engagement, and overall company performance
Guide and support our e-commerce funnel optimization with data backed insights.
Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches
Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights
Conduct and analyze AB testing together with the Payments, Product and Professional Services teams, to measure the effect of new features, payment methods and other growth initiatives for our customers, and provide recommendations and conclusions.
Provide actionable, data-backed insights to support company-wide strategy and analytical projects
Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems

Were looking for a Data Analyst to join our growing Duty Drawback team.
In this role, youll combine data analysis with hands-on operational work, using data to support claim preparation, evaluate program performance, identify trends and gaps, and uncover new opportunities.
Youll work with large datasets, build and maintain reports and dashboards, validate data across different sources, and collaborate with BI and Data teams to improve data accuracy and reporting solutions. At the same time, youll be involved in the operational side of the program - supporting claim submissions, investigating discrepancies, handling merchant inquiries, and working with internal teams and external partners.
This is a great opportunity for someone who enjoys working with data but also wants to see the real business impact behind the numbers, contribute to process improvements, and be part of a growing program.

we are looking for a product-first, AI-native Data Analyst to shape how our Product organization understands signup, activation, feature adoption, and launches.
This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout . Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.
Key Responsibilities:
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.

we are looking for an AI-native Data Analytics Team Lead to lead our analytics team and shape how data is used to drive business decisions across the company.
This is a hands-on leadership role combining people management, strong business understanding, and technical leadership. You will lead and develop a team of analysts, set technical and analytical standards, own the teams priorities, and partner with stakeholders and senior leadership on high-impact initiatives.
You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works.
Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth.
Own the teams priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs.
Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI.
Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations.
Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards.
Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics.
Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows.
Stay hands-on with data, code, and analysis when tackling complex or high-impact problems.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

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 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 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.

We are looking for a Data Analytics Engineer with strong technical skills to join the Marketing Data team. You will be the go-to person for how Marketing and other teams measure what matters. You will define the metrics, build the analysis behind them, and keep the data underneath them reliable.

Our marketing data model on BigQuery is already in production. You will report to the VP Growth and work directly with Marketing, Product and Sales leaders.



What You'll Do
Work with Revenue leaders to turn business questions into clear metric definitions, KPIs and measurement plans.
Build analysis and dashboards on acquisition, conversion, activation, feature adoption and retention.
Identify gaps in tracking and work with R&D to close them.
Maintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors, BigQuery transformations).
Monitor data quality and fix issues before they reach stakeholders.
Document metric definitions, models and decisions as you go.

we are looking for a data analytics manager to join our software architecture team. we turn data from ai factories into insights that shape architecture decisions and improve cluster performance, reliability, and efficiency. you will lead our analytics team and own internal initiatives from identifying user needs through delivery and adoption. a central focus will be building and deploying ai agents for analytics-enabling architects and engineers to explore data, investigate sophisticated questions, and act on trusted findings. we seek a leader who combines analytical depth, product judgment, and the ability to turn ideas into capabilities people use.
what you'll be doing:
hire, mentor, and lead an analytics team, setting technical direction, priorities, and standards for analytical quality.
partner with architects, engineering, and cluster operations to define critical questions and lead analyses that explain system behavior, uncover bottlenecks, and quantify architectural tradeoffs.
own the roadmap for internal analytics initiatives, translating user needs into requirements, priorities, and measurable outcomes, and driving delivery and adoption.
lead the development, evaluation, and deployment of ai agents for data exploration, analytical reasoning, and automated investigation, contributing hands-on as needed.
deliver reusable analytical capabilities, intuitive tools, and dashboards that support engineering and operational decisions.
partner with data engineering to ensure the data coverage, quality, and context needed for reliable analysis and effective ai agents.
we offer competitive compensation and a comprehensive benefits package, with benefits varying by location. you'll work alongside architects and engineers tackling complex challenges in ai infrastructure, with the opportunity to build a team and shape how we use ai and data to design better systems. we'd love to hear from you!
we are an equal opportunity employer. we welcome applicants from all backgrounds and are committed to providing reasonable accommodations for candidates with disabilities throughout the application and interview process. widely considered to be one of the technology world's most desirable employers, we offer highly competitive salaries and a comprehensive benefits package.

We are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for a B.Sc. with analytical capabilities to be part of a data Engineering team. Key Responsibilities
* data Collection.
* Develop and maintain data analysis and tagging tools.
* Collaborate with cross-functional teams to collect experiments.
* Experiments Analysis.
* Analyze and tag field experiments.
* R&D data Analysis Support.
* Analyze datasets to extract meaningful data -based insights.