דרושים » תוכנה » Business data Analyst

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities:
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

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.

As our Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do

Translate complex data queries into clear business insights, recommendations, and product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and 2 existing products.
Support product strategy by measuring adoption, feature performance, customer impact, and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of voice, and conversion behavior.
Identify data inconsistencies, gaps, and edge cases, and partner with Data and Engineering to improve trust in our insights.
Present clear narratives and stakeholder-ready materials that connect data findings to business impact.
Your Day-to-Day Work

Write advanced SQL queries across large analytical datasets.
Use Python, Pandas, notebooks, and analytical workflows to investigate complex data
Build dashboards and reports in BI tools platforms for data visualization
Run deep-dive investigations into product usage, customer behavior, performance trends, and data anomalies.
Work with Product Managers on discovery, feature definition, rollout measurement, and post-launch analysis.
Collaborate with Data and Engineering teams on table logic, metric definitions, tracking requirements, and validation.
Prepare executive summaries, customer-facing insights, sales enablement analyses, and internal decision materials.
Proactively identify new insights, risks, and opportunities beyond the original request.

Were seeking a self-motivated Data Analyst with a strong sense of ownership and outstanding communication skills. As a key team member, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the companys data-driven culture.

You'll work directly with senior, data-driven stakeholders across the company, including executives outside Israel. Expectations are high, feedback is direct, and the work is visible. In return, you get real ownership, real impact, and the kind of proximity to business decisions that most analyst roles don't offer.


How Youll Spend Your Time
Surface actionable insights by identifying business trends, performance drivers, and anomalies across product, marketing, and financial data
Analyze large, complex datasets to answer strategic business questions and directly support decision-making across the organization
Define, track, and improve the KPIs that measure business and operational performance, ensuring stakeholders trust the numbers
Translate data into compelling visualizations and narratives that communicate key metrics, trends, and recommendations to business stakeholders
Drive product decisions through analytics and experimentation. Design and analyze A/B tests, measure feature adoption and funnel performance, and translate user behavior into insights that shape the roadmap
Build and maintain the data warehouse infrastructure, ETL pipelines, table structures, and schema design that powers reliable, timely analytics
Act as a subject-matter expert in analytics and BI tools, guiding stakeholders and team members toward better data-driven decisions
Own financial and transactional reconciliation. Validate revenue and performance metrics against partner-reported data at cent-level precision
Use AI tools effectively as a core part of the workflow, while maintaining a deep understanding of the data and code underneath

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

Were looking for a sharp and experienced Business Data Analyst to join our Marketing Analytics team. Someone who is deeply passionate about data and turning raw data into clear and actionable insights. With your strong analytical and technical skills, youll help tell the story behind the numbers and better understand how players interact with our games.
Responsibilities:
Analyze end-to-end user journeys from a marketing perspective across all existing titles and future studio launches, using complex datasets, AI tools, and statistical modeling
Own the portfolio-wide marketing analytics ecosystem including collecting, analyzing, reporting and tracking of marketing activities
Optimize user acquisition efforts cross games while creating solutions to the industrys day to day challenges
Apply predictive analytics methods in order to help establish strategic business recommendations
Provide actionable insights to multiple stakeholders across the organization through strategic and operational researches
Build and maintain the marketing data pipeline while creating models and dashboards to help make informed decisions quickly while empowering others to have information readily accessible
Utilize advanced AI workflow tools (e.g., Claude, Cursor, LLMs) to improve workflows and increase efficiency
Collaborate with other teams such as UA (User Acquisition), Product, Monetization, BI, DS, Finance, and more through significant projects.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and 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 . Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
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.

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.

Were looking for an Operations Analyst to join our growing team , a fast-paced travel-tech startup transforming the way the travel industry operates through cutting-edge technology.
In this role, you'll be at the heart of our operations, ensuring that processes run smoothly, efficiently, and are continuously optimized. Youll work closely on our flag product, taking ownership of daily operations, data integrity, and customer health. Your responsibilities will include business analysis, identifying growth opportunities, and driving operational excellence.
This role is perfect for someone analytical, curious, and passionate about making an impact across multiple domains of the business. The position is based in Tel Aviv and Rehovot.
What You'll Do:
Monitor and maintain daily operations of our flagship product, ensuring all data-related tasks are completed accurately and on time.
Conduct customer and data investigations to uncover insights, optimize performance, and identify areas for improvement.
Perform customer health checks and develop strategies to maximize client satisfaction and engagement.
Analyze business processes and identify opportunities for operational improvements and efficiencies.
Implement standards and workflows to streamline operations and support company scale-up.
Collaborate with cross-functional teams to improve product flows and resolve operational challenges creatively.
Provide reports on operational performance and suggest actionable improvements.
Contribute to data structure integration and maintain high-quality data standards.