לוח משרות דרושים Data Analyst בתל אביב יפו

were proud to be at the forefront of the AI revolution. As a Data Analyst on the DataOps team, youll play a key role in ensuring the integrity and reliability of our data systems. Your primary focus will be on data quality assurance auditing datasets, identifying anomalies, validating transformations, and ensuring consistency across our machine learning pipelines. This role is ideal for someone whos passionate about data, detail-oriented, and eager to support high-impact AI solutions. We're looking for a data analyst with strong analytical skills and a commitment to maintaining data quality at scale.
Conduct data audits and validation checks to ensure accuracy, completeness, and consistency across diverse data sources.

Responsibilities
Perform exploratory data analysis to identify anomalies, edge cases, and inconsistencies that could affect model performance.
Automate and monitor data quality by building tools, dashboards, or queries, and by investigating root causes of data issues, proposing improvements, and tracking their resolution.
Evaluate external data sources for usability, schema compliance, and alignment with business goals.
Collaborate across teamsincluding Product Managers, Data Scientists, Engineers, and Labeling Specialiststo understand user needs and ensure the delivery of robust, scalable ML solutions with high-quality data throughout the pipeline.

A Tel Aviv based FinTech startup that provides the worlds leading 360 financial solution for small businesses.
platform enables every small business to:
Accept payments online & in person.
Pay vendors easily and automatically.
Access real time funding & Credit as needed.
Access full invoicing and bookkeeping solution.
Use multiple pre-integrated 3rd party services.
Were targeting one of the largest markets in the world. Small businesses represent 99% of the worlds businesses and 60% of the global GDP and yet, they are the most overlooked and underserved segment in the economy. is leveling the playing field and helps these entrepreneurs succeed by taking all the hassle and headache off their plate and giving them the tools to focus on their core activity. We believe you should Let The Baker Bake!
Whats unique about ?
Weve entered our rapid growth and expansion stage and are planned to grow from 50 to 200+ employees over the next year. This is your opportunity to join a rapidly growing company, have an immediate impact on the product and the companys evolution.
We are currently processing billions in volume for 80,000+ businesses and were just getting started. If you are talented, humble and ambitious now is the best time to join a rapidly scaling rocket ship where you can make an impact and be a significant part of our journey.
About the Opportunity:
Were looking for a data obsessed professional eager to extract insights from data to create more value for us and our customers.
This position will include responsibilities for both our data integrity, and generating business and product insights based on data.
What youll be doing:
Financial Integrity: Ongoing responsibility to ensure data integrity across all systems.
Monitors: Develop monitors to ensure ongoing data integrity.
Data Visualization: Build insightful tools, dashboards, and complex reports.
Decision-Support: Be involved in key decision points and assist various teams in making thoughtful, data-driven decisions
Support Machine Learning Initiatives: Collaborate with our data science team to develop ML models and ensure the quality and reliability of data.
Strategy and Product Growth: Partner with product and business professionals to establish data-driven policies and strategies.

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. At we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.
We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

What youll do:
Design & Develop cutting edge, scalable and robust big data pipelines, integrated with orcas operational applications,
deployed at hundreds of ships around the world.
Design & Develop best practice big lakehouse semantic data.
Serve as internal and external users, semantic data focal point.
Be a pivotal part in a highly professional data team.

Required Data Analytics Engineer
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.

As a Data Researcher , you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.

You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.

What you'll be doing:

Play a major role in the creation, development, implementation, and ongoing improvement of our decision-making logic within our live production environment.
Conduct in-depth research into complex fraud patterns and emerging threats.
Utilizing vast and rich datasets to extract insights that drive actionable decisions to enhance the precision of our systems.
Developing new, innovative system components and models, along with refining and advancing our feature engineering processes.
Collaborate with a team of the industrys leading researchers, data scientists, and software engineers to develop the next generation of AI technology.

We are a global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are seeking a data Analyst position, 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 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:
* 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 business targets.
* Deep analysis of large, complex data sets to address strategic and operational business questions.
* Build dashboards and visualizations to answer key questions for the company's in-house various teams.
* 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 strategic road maps.

the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO, while simultaneously building trust between AppSec, developers, and CISOs. we believe its not just about finding risk, but remediating it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders.

We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies including Siemens, Airbus, SalesForce, Stellantis, Adidas, Wal-Mart and Sanofi.

What are we looking for?
We are looking for a passionate Product Business Analyst to join our Product Growth team. This role is ideal for someone who thrives at the intersection of data, collaboration, and product delivery while bringing insights to life through KPI tracking, data analysis, and usage metrics to shape product direction and drive growth.

How will you make an impact?​
Conduct win/loss analysis to understand competitive dynamics and inform roadmap decisions.
Drive and track key product KPIs related to adoption, engagement, retention, and monetization.
Collaborate with product management and finance to support the creation and pricing of new product SKUs.
Partner with back office teams to ensure operational readiness and accurate implementation of pricing and packaging strategies.
Support customer and market research efforts through surveys, interviews, and analysis of user feedback and industry trends.
Own and maintain dashboards and reporting to track product usage and performance metrics across the portfolio.
Provide insights into user behavior to identify friction points and growth opportunities within the product experience.
Support product planning cycles by contributing data-backed recommendations and business cases.
Work closely with data teams to validate instrumentation and ensure high data quality.
Collaborate with go-to-market and customer-facing teams to translate insights into actionable strategies.

We are looking for a Gaming Business Analyst.
What you'll be doing:
Identify key business questions and define corresponding data events and metrics to ensure actionable insights.
Deep dive analysis in various game aspects, including economy, monetization, and gameplay, to identify opportunities for optimization and enhanced player engagement
Conduct overall business reviews to monitor User Acquisition (UA) performance and key profitability KPIs, ensuring alignment with company objectives and growth targets.

we are looking for an experienced BI Developer with strong analytical and engineering capabilities and a business-oriented mindset to join our team. We seek a candidate who can independently lead end-to-end data processes, understand business challenges, and deliver actionable insights that align with organizational goals. As a key member of our team, youll need the ability to partner with cross-functional teams, communicate effectively with both technical and non-technical stakeholders, and think strategically to address evolving business needs.We are searching for a curious and initiative-taking individual who can delve deep into business problems, perform in-depth analyses on datasets containing millions of records per day, and extract impactful insights to support data-driven decisions. This is a unique opportunity for someone with 4+ years of BI development and analytical experience to play an essential role in scaling operations within a rapidly growing, dynamic environment.
If youre passionate about turning data into actionable strategies and thrive on solving complex business problems, Aura is the place for you to grow and make a difference.
What you'll be doing:
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
Design, manage and maintain analytics products and BI solutions for the entire group.
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables. Proactively identify opportunities for process improvement and optimization based on data-driven insights.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior Product Analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.
What you'll be doing
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.

were seeking a Senior Product Data Manager to lead our data strategy and turn insights into impactful product features and experiences. In this temporary role, youll work closely with business analysts, business intelligence (BI) teams, and engineers to ensure gaming products are optimized for engagement, player satisfaction, and monetization.
This position is your chance to lead high-impact product initiatives that create immediate value while preparing our data and product systems for long-term scalability. Youll play a key role in defining success metrics, driving innovation through analytics, and ensuring data is integral to our product development process.
As a trusted collaborator and leader, youll influence product vision, solve complex challenges, and shape how millions of players across the globe enjoy our games. This role provides a unique opportunity to grow within an innovative, fast-paced environment while partnering with some of the industrys best.
What you'll be doing
Define product data strategies and dashboards, aligning them with broader business goals and player-focused objectives.
Use player data and analytics to inform product decisions, optimize new feature development, and enhance game performance across engagement, retention, and monetization.
Collaborate closely with analysts, BI teams, and engineers to ensure data quality, pipeline scalability, and actionable insights for product development.

Were looking for a senior and strategic leader to join our Product Analytics team. Our ideal candidate is an expert in product analytics, is passionate about championing a data-driven approach to fuel product innovations, while being able to inspire, challenge, and grow top-tier talent.
You will manage a group of high-performance data analysts, responsible for defining and executing Product orgs data strategy as we build an AI-ready analytics stack.
In this role youll
Partner with senior Product leadership to develop and execute a forward-looking product data analytics vision and strategy
Lead and mentor a talented team of managers and data analysts, fostering craftsmanship and career growth
Stay up-to-date with emerging trends and best practices in product analytics, creating an AI-ready analytics stack
Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins
Collaborate with other Analytics teams, Data Platform, and R&D to drive complex, cross-functional data projects.

Were looking for an experienced and passionate Growth Data Analyst to join one of our agile analytics teams. Youll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where our company wants to scale its Growth and Marketing efforts. Youll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, youll ask the right business and strategic questions, and find the insights to answer them.
In this role youll
Be part of the Analytics chapter, spending your day-to-day as the data expert in our Revenue team
Build and maintain the data analytics infrastructure for accurate and timely reporting and sophisticated analysis
Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently
Collaborate with other data analysts and leverage the many marketing science tools we have developed to continuously measure, test, and optimize across all partners and platforms.

Required System Analyst
Your Mission:
System Analysthas a leading role in the R&D department. Key responsibilities include understanding the business requirements and designing the systems that implement these requirements. System Analyst serves as a bridge between the product and the development teams, manages cross-country projects with internal and external teams, and ensures high quality of the user stories that enter the scrum process.
Responsibilities:
Requirement gathering and gap analysis;
Writing high-level and detailed interface / specification documents;
API and DB modeling (both relational and NoSQL);
Supporting development and QA teams;
Leading complex integration and customization efforts.