דרושים » ניהול ביניים » BI Developer and Analyst

About Us: We are a pioneering fintech part of robust business foundation, dedicated to building the next generation of solutions and shaping the future of digital transactions. We are on the lookout for a dynamic and talented Data Analyst who will turn complex payment data into actionable insights, drive product innovation, develop advanced fraud prevention strategies and enhance the customer experience. Your work will empower analytics, support advanced initiatives, and enable innovative, data-driven decisions that fuel growth and transformation
Role Overview In this role, you will analyze, interpret, model and visualize data to support data-driven decision-making across the organization. You will be responsible for transforming raw data into meaningful insights, developing predictive models, reports and dashboards, and ensuring the accuracy and reliability of analytical outputs. We are looking for someone who is passionate about data, understands payment ecosystems, and thrives in a fast-paced, tech-driven and competitive environment.

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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 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.

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.

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across Blockaid to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
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.

We are seeking an analytical, detail-oriented Senior Corporate Data Analyst with hands-on experience in a rapid-growth SaaS company or in an analyst role in Private Equity, Growth Equity, investment banking focused on high-growth SaaS companies.
You will bring deep domain expertise in financial and operational data analysis- with a particular eye on SaaS metrics-to build robust analytical frameworks that influence strategic decision-making.
Youll work closely with senior leadership and cross-functional teams, applying your expertise to transform complex datasets into clear, actionable insights. This role requires a performance-first mindset, excellent collaboration skills, and a willingness to leverage AI and data tools as central to your workflow to continually generate business value.
What you will be responsible for:
Deliver a rigorous, insight-driven analysis of company metrics, using advanced data slicing, cohorting, and trend identification to surface the most favourable, decision-grade view of the business.
Apply your prior experience analyzing SaaS and high-growth company data to analytics and reporting efforts.
Develop and maintain detailed company performance modules capturing SaaS metrics such as cohorts, NRR, GRR, CAC, LTV, and unit economics.
Ingest, clean, and aggregate data from multiple internal and external sources, turning messy datasets into clear, impactful insights.
Partner with C-level executives, product, finance, and operations teams to provide data-driven analyses that inform strategic planning and operational improvements.
Translate complex data into compelling narratives and presentations tailored to both technical and non-technical stakeholders.
Continuously improve data workflows, dashboards, and models, fostering a data-driven culture.
Utilize experimentation and iterative approaches, incorporating AI tools and modern data analytics best practices to enhance outputs.

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.

We're looking for a Product Data Analyst with fraud expertise to serve as fraud gatekeeper, helping us stay one step ahead of fraudulent claims.
You'll partner closely with our Analytics and other Data Teams, Special Investigation Unit, and Underwriting teams to flag and prevent potential risks that could impact our business. This role is about shaping fraud detection strategies by leveraging data to solve complex product and business problems - tackling analytical questions, monitoring key metrics, modeling intricate datasets, and delivering actionable insights that directly influence our strategy.
In this role youll:
Shape fraud detection strategies by analyzing claim patterns, testing new prevention methods, and building data-driven recommendations that protect the business
Partner closely with cross-functional teams including Special Investigation Unit, Underwriting, Analytics, Product, and Data teams to flag risks and improve decision-making
Design and execute A/B tests on key flows and processes to strengthen fraud defenses and optimize detection capabilities
Monitor and analyze key metrics through fraud trend detection, feature tracking, experiments, and platform health monitoring to stay ahead of emerging threats
Model complex datasets using Snowflake, Python, and other tools to uncover hidden fraud patterns and business risks
Deliver actionable insights by presenting findings and recommendations to stakeholders across the company to drive product and business decisions
Explore new data opportunities by leveraging internal and external data sources to improve fraud mitigation and push product strategy forward

Required Business Analyst
Job Description
See beyond numbers and take part in informing, influencing, supporting and executing our business decisions
Be the data & analytics lead in various projects and work closely with different teams across the company
Work with very large amounts of data and build tools to streamline the process
Build and maintain reports, dashboards and metrics, in addition to monitoring the integrity and validity of the data reported
Plan, conduct and interpret the results of A/B tests in order to optimize existing and implement new product features
Conduct customer analysis-churn, behavior, segmentation, trends, customer value and more.

Comunix is a rapidly-growing mobile gaming company located in central Tel Aviv. We are looking for a sharp and passionate Senior Business Analyst to join our team. Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones! If you’re an eagle-eyed, sharp, intelligent, data-driven analyst, with a love for stats and numbers, we’d love to talk! The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data-driven solutions across the company. (We work from our office in Tel-Aviv- not hybrid)

Responsibilities:

* Analyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
* Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
* Provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps
* Work closely with internal departments to drive insights that will help produce better insights that will drive towards monetization and retention improvements
* Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience.



Advantages:

* Passion for games