דרושים » תוכנה » Product Data Analyst - Fraud

We are seeking a highly skilled Product Analyst to strengthen our core product analytics capabilities while also supporting rapid innovation in the B2B space. This role sits at the intersection of foundational analytics and forward-looking product discovery. You will help level up data-driven decision-making across the product organization by establishing clear, unified metrics for product success, while also partnering with a dedicated innovation squad to validate new product ideas through fast experimentation and proof-of-concepts.

This is a high-impact role for an impact-driven analyst who wants to own product decision-making end-to-end.


What Youll Do

Core Product Analytics & Adoption Insights (Primary Focus)

Act as the analytical owner of our product ecosystem, connecting the dots across teams, challenging assumptions, and calling out when data shows we are heading in the wrong direction.
Analyze and monitor holistic product health across Minute Medias product ecosystem, including adoption, engagement, retention, and usage funnels.
Develop and maintain comprehensive dashboards in BI tools such as Looker, providing product leadership with a clear, consolidated view of performance against strategic goals.
Partner closely with Product Managers to define success metrics for new features and initiatives, ensuring every launch has clear, measurable objectives.
Conduct deep-dive analysis to understand user behavior, identify usage patterns, and segment users or partners by engagement, product mix, or lifecycle stage.
Diagnose performance issues or opportunities, translating data into actionable insights and clear recommendations for product strategy and prioritization.
Innovation & Experimentation Support (Secondary Focus)

Serve as the dedicated analytics partner for a cross-functional innovation squad focused on developing and testing net-new products.
Define measurement frameworks and success metrics for experiments, pilots, and proof-of-concepts, ensuring fast learning cycles.
Analyze A/B tests and experimental results, delivering clear guidance on whether to iterate, pivot, or scale new ideas.
Collaborate with engineers and product teams to define event tracking specifications for experimental features and new products.
Provide rapid, good enough insights in a fast-paced environment, translating ambiguous questions into practical data points that keep momentum high.
Strategic Collaboration & Communication

Work cross-functionally with Product, Engineering, BI, Design, and commercial teams to align analytics with business and product goals.
Present insights and recommendations clearly and persuasively to non-technical stakeholders, influencing roadmap decisions and investment priorities.
Contribute an analytical perspective to product strategy discussions, helping teams understand not just what is happening, but why.

Responsibilities:
Monitor paying & payout activities and user behavior to identify and prevent fraud.
Conduct thorough investigations of suspected fraudulent activities.
Prepare reports on fraud trends, mitigation efforts, and success metrics.
Analyze, review, and assess the effectiveness of existing fraud prevention measures, and recommend improvements as needed.
Handle escalations and act as a focal point for fraud-related issues.
Collaborate with diverse teams, provide feedback and guidance for relevant stakeholders, and improve practices.
Create and maintain monitoring capabilities and practices to detect suspicious activities.
Generate and utilize data-driven insights to enhance decision-making processes and improve the effectiveness of fraud prevention efforts.
Stay up to date with industry trends and emerging fraud risks to proactively adapt and improve fraud prevention strategies.

Required BI & Product Analyst
Position Overview
Are you passionate about turning data into real-world impact? Were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

We're looking for a Senior Business Analyst to help build the technical foundation that powers our cross-sell growth and revenue measurement across all DTC products.
You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable expansion opportunities. As scales across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.
In this role you'll:
Facilitate cross-sell initiatives by building data frameworks (identity resolution, behavioral tagging) that help Company Leads and Product teams identify and measure opportunities across car, pet, and renters products
Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously
Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer
Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads
Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics
Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals
Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse

Required Product Analyst
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.
Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate - one store at a time.
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights - all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail - were building it.
At our company, were building the in-store operating system of the future - powered by AI and real-world data. With dozens of autonomous store and Loss Prevention deployments (and hundreds more coming), we are generating a massive volume of operational data. Now its time to turn that data into strategic value - for our team and our customers.
To ensure our live deployments deliver maximum impact, were looking for a hands-on, insights-driven Senior Data Analyst to lead performance tracking and optimization for our product and customers.
As Senior Data Analyst, youll be responsible for analyzing production data to monitor store performance, improve current operations, and provide insights that shape our companys future roadmap. Youll also structure and manage how operational data is collected, aggregated, and analyzed, ensuring it delivers actionable value across teams.
This role sits within the Customer Performance team - our group responsible for ensuring our deployments perform at their best and deliver measurable value. Youll collaborate closely with Operations, Product, R&D, Customer Success, and our retail partners.
A day in the life
Analyze production data from live stores to assess system performance and customer behavior.
Track and report on agreed KPIs with retail partners, ensuring we deliver against operational commitments.
Manage and structure operational data - defining what is included in analysis and how it is aggregated.
Collaborate with Data Engineering to analyze, maintain, and improve ETL workflows and data pipelines, ensuring data is accurate, timely, and accessible for analysis.
Build dashboards to surface insights internally and for retailer-facing teams.
Provide insights that inform both current operational improvements and our companys product roadmap.
Liaise with cross-functional teams (Operations, Product, R&D, Customer Success) to proactively suggest system enhancements.
Communicate complex KPIs, concepts, and insights in a clear, structured, and compelling way, tailored to technical and non-technical audiences.

About the position
Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

We are seeking an analytical and tech-savvy Senior Data Analyst / BI Developer to join our team, focusing on our B2B products and content cost analytics. You will bridge the gap between data and business for our publisher-facing solutions. In this role, youll develop Business Intelligence solutions and insights that drive informed decisions for both Minute Media and our content partners. This includes building dashboards to track B2B product performance and analyzing content costs to help optimize our partnerships. If you enjoy turning data into actionable business intelligence and thrive in a fast-paced media environment, wed love to meet you.

Content Cost Analytics & Reporting

Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.
Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real-time visibility into spend vs. returns.
BI Development for Partner Solutions

Design and build scalable data sources, models, and feeds to support B2B analytics, including partner-facing reporting in Voltax for content performance and earnings.
Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.
Insights & Collaboration

Collaborate cross-functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.
Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.
Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.

Were looking for a Business Analyst to join Orca AIs Customer Success team, working closely with the Data team to bridge insights and action. This is a cross-functional role that blends analytical depth with commercial and operational impact - helping us turn data into meaningful insights for customers and internal teams.

Youll drive how we analyze, interpret, and communicate data - ensuring clients see the value in every metric and the CS team operates on clean, reliable, and actionable insights. Youll also occasionally present findings directly to clients, support business reviews, and partner with Customer Success Managers in demonstrating the strategic value of our insights and analytics.

Key Responsibilities:

Customer-Facing Analytics & Reporting
Develop and deliver data-driven analyses for QBRs, ABRs, and ongoing performance reviews.
Build and maintain monthly client facing reports, uncovering operational trends and actionable insights.
Conduct ad-hoc investigations into performance anomalies, KPIs, or client-specific questions.
Partner with Customer Success Managers to frame insights in a way that drives impact and engagement.
Data Strategy & Visualization
Shape the data storytelling framework we use with customers - defining what we show, how we show it, and why.
Work with Product and Data teams to identify new analytical opportunities from our data points and product telemetry.
Design and evolve dashboards, visualizations, and templates that scale across accounts and regions.
Data Integrity & Governance
Own data accuracy for CS-facing analytics: ensure data pipelines, reports, and KPIs are clean, consistent, and aligned with internal definitions.
Partner with the Data team to implement validation, QA, and documentation processes that keep client-facing reports trustworthy.
Contribute to standardizing KPIs, metrics definitions, and data structures across CS and Product.
Cross-Functional Enablement
Act as the analytical bridge between Customer Success, Data, and Product.
Support strategic account planning with data-based insights and recommendations.
Build scalable processes and templates for analysis and reporting across the customer lifecycle.