לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 87 משרות

we are 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, weve grown 14x in the past year and now process over a billion dollars annually.
were 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.

we are looking for a Payment Fraud Product Manager.
As an Fraud AI Applications Product Manager , you will lead a broad and complex product domain at the core of business - the analytical delivery of our ML-based Fraud management offering. You will work with senior stakeholders to define our vision and build the strategy to achieve it. You will design products and processes to execute that strategy, work to automate and optimize complex analytical processes and develop next generation analytical performance platform. You will work with data scientists in order to solve optimization problems. You will envision and define the approaches and tactics in which operations teams - fraud experts and analysts deliver best-in-class analytical performance for some of the worlds largest eCommerce companies. You will engage directly with users - internal and external - to identify challenges and opportunities to increase the solution value. You will achieve alignment on the right solutions and build innovative solutions to tackle complex optimization challenges of fraud at scale while handling a large scale AI-based system.
What You'll Be Doing:
Build the next generation of analytical performance platform to automate and optimize the analytics processes in a way that creates control and visibility, and brings business results
Collaborate with our analytics and operations teams to define their needs and brainstorm potential solutions
Partner closely with Data Science teams to translate business requirements into technical solutions and drive the development of advanced ML-based fraud detection capabilities.
Work with clients to understand the business needs and define creative solutions to address those opportunities
Own the Analytics Applications roadmap to meet the business goals, while doing hands-on and end-to-end product management, working with developers and data scientists
Define and own KPIs that measure the solution accuracy and impact
​​Lead the planning, scoping, and prioritization of new capabilities to achieve business goals

Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.

If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.

You will collaborate with many teams in Intuit and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.

In this role, youll:

Be part of a vibrant team of Data Scientists and ML Engineers

Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques

Help automate, deliver, monitor, and improve GenAI solutions

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across our company. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
What You'll do:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

Were 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).

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.
Core Responsibilities:
‍Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.‍‍
‍ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
‍Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.‍
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

Were looking for an experienced and versatile Data Analyst to join our BI & Analytics team. In this role, youll 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.