לוח משרות דרושים Data Analyst בתל אביב יפו

We are looking for an experienced Data Analyst to lead the analysis dept. in a growing gaming company, analyzing game and monetization related data, delivering insights to different company departments and helping us grow and enhance our game's performance
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Responsibilities
Analyze large, complex data sets representing users behavior and performance, inform, influence and support data driven business decisions regarding marketing, product, economy and monitization.
Provide actionable recommendations and conclusions from game data to shape features, game economies and future product road-maps
Balance and monitor essential flows in the game
Build and maintain dashboards and reports to follow and monitor game KPIs
Strive for never ending data driven optimization and excelency.

We are seeking a highly motivated, detail-oriented, and data-savvy Business Operations Coordinator to join our growing Business team. This is a unique opportunity to immerse yourself in the dynamic world of sports betting and iGaming, working alongside a fast-paced, collaborative team that thrives on innovation and operational excellence.

As a Business Operations Manager, you'll play a key role in streamlining internal operations, enabling data-driven decision-making, and supporting cross-functional teams with actionable insights. Youll gain first-hand experience in business analytics, process improvement, and partner data management-all within a high-growth startup environment.

What will you do:

Own and manage data operations: Process and validate sales data from business partners, ensure seamless integration into internal systems, and maintain high data accuracy

Generate actionable reports: Create and analyze financial and performance reports to support strategic decision-making.

Support core business functions: Act as a key point of contact between the Business Development, Partnerships, and Campaign teams.

Lead data lifecycle efforts: Oversee end-to-end data development workflowsincluding business requirement gathering, QA, implementation, and maintenance.

Optimize tools and systems: Work with internal platforms such as ClickUp, Tableau, Google Data Studio, and Slack, while providing feedback on tool performance and usability.

Contribute to billing processes: Participate in the monthly billing cycle by ensuring timely, accurate reconciliation of partner data.

Thrive in a cross-functional setting: Navigate a multi-stakeholder environment with competing priorities, and adapt quickly to change.

Required Marketing Data Analyst
The Marketing Data analyst fills an essential role. Reporting to the Team Lead of Professional Services, the Marketing Data analyst crunches large databases, analyzing customer behavior and discovering unique actionable insights. If you have a passion for understanding what drives customer behavior, this job is for you! Interacting collaboratively with clients to deliver outstanding results, this role requires exceptional analytical capabilities coupled with a strong understanding of business and commercial ecosystems, and highly effective management and interpersonal skills. This position is one that brings with it an excellent opportunity to be exposed to a variety of business verticals, to interact with high-level executives, and to learn and grow within a dynamic, challenging and fast-paced environment.
Responsibilities:
Consumer data research and analysis.
Extracting actionable insights from large databases.
Presenting research results to clients.
Implementing new customer projects.
Managing client relationships.

We're seeking a motivated Junior Data Analyst with a strong foundation in SQL and a passion for business intelligenceespecially in the economics and banking sector. This role is ideal for someone who wants to turn raw financial data into actionable insights that support strategic decision-making. If you're analytical, eager to grow, and excited to explore the world of regulated financial datathis role is for you.

Youll be joining a small, tech-focused team within a lean data environment . That means real ownership, cross-domain exposure, and the need for independence, curiosity, and initiative.

Responsibilities
Write and optimize SQL queries to extract, transform, and analyze large, regulated datasets
Support BI dashboard development and maintain reports (e.g., MetaBase) including drill-downs, linked dimensions, and business visuals
Collaborate with data engineers, product managers, compliance officers, and finance teams to understand economic and regulatory requirements
Validate datasets and develop QA methods for regulatory reports and internal financial metrics
Automate recurring reporting on banking KPIs, customer behavior, liquidity trends, and product performance
Document query logic and BI workflows to ensure clarity, transparency, and audit-readiness
Take ownership of analytics tasks and proactively drive them to completion, under guidance (if needed)

We're seeking a motivated Financial-Crime Analyst with strong foundations in Fraud, AML and embezzlement and a passion for business intelligence in the finance and banking sector, to join our Risk & Financial-Crime team.

You'll be responsible for identifying suspicious activity, analyzing fraud patterns, and shaping our defenses against financial crime.

As part of our Risk team, you'll investigate alerts, enhance fraud & AML detection rules, and stay up to date with global fraud & AML trends. If you're naturally curious, action-oriented, and excited about using data to protect customers and disrupt financial crime, you might be exactly what were looking for.

Responsibilities
Monitor, investigate, and analyze transactional activity to detect potential fraud, AML, and embezzlement schemes related to customer transactions and behaviors across digital channels to determine suspicious activity
Create and maintain fraud & AML monitoring rules, monitor emerging trends and proactively update detection logic.
Utilize business intelligence tools (e.g., SQL,BI, Excel) to produce risk dashboards and reports that support strategic decision-making.
Collaborate with cross-functional teams including data analytics, compliance, and legal to optimize risk detection mechanisms and refine typologies.
Support continuous improvement of the fraud & AML detection lifecycle, from alerting logic to case resolution workflows.

We are seeking a Data Analyst with strong business acumen to join our FinOps team. This role combines cloud cost analysis with a deep understanding of financial and business impact, aiming to support strategic decision-making, budgeting, and cloud cost optimization.
The ideal candidate will be able to connect financial data, system usage units, and customer pipeline activity to assess their impact on costs, margins, and profitability. Beyond technical skills, we are looking for someone who can translate data into business insights and deliver clear, actionable recommendations to leadership.What Youll Do Day to Day
Perform in-depth analysis of cloud costs and their impact on key busness KPIs.
Calculate and analyze Cost per Unit determining how much it costs to deliver one unit of a service or product.
Track customer pipeline activity (including onboarding, POCs, cross-sells, etc.) to assess its effect on cloud spend and overall margins.
Build and present executive-level reports and dashboards for leadership and FinOps teams to identify cost drivers and optimization opportunities.
Monitor specific cloud services and applications to detect cost anomalies or unexpected increases, presenting findings with actionable recommendations.
Partner closely with Finance, Business, and R&D stakeholders to link financial outcomes with operational data and support data-driven investment decisions.

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

We are looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.
Key Responsibilities:
Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

We are looking for a Data Annotation Manager to join our R&D team and manage a team of data taggers responsible for tagging and labeling data for machine learning models.

A day in the life and how youll make an impact:
Managing a team of 8 data taggers in Israel and overseeing a team of data validators in the US.
Ensure that the data is accurately tagged and labeled.
Ensure that the team is meeting its goals and deadlines.
Managing an outsourced team that's performing the scale data tagging and labeling.
Work with the data science team to ensure that the data is being used effectively.
Develop and implement processes to improve the efficiency and accuracy of the data tagging process.
Train new team members on the data tagging process.

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.
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 Product Data Analyst to join the team and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains,, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique chance to influence the evolution of a leading experience optimization platform, empowering some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
This is a 10-month temporary contract
Role:
Work closely with product managers to define and refine KPIs and success metrics that align with product goals. You'll support planning, feature evaluation, and post-launch performance assessments to ensure product decisions are data-driven and measurable
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Analyze user behavior and product usage patterns using quantitative methods to identify pain points, usage trends, and feature adoption
Build and maintain dashboards and reports that empower product and business stakeholders with timely, actionable insights. Youll ensure key metrics are easily accessible and accurately reflect performance across initiatives.
Contribute to the development and maintenance of data models and assist in maintaining scalable, trustworthy ELT pipelines. Youll help shape the underlying data layer that powers analytics across the product and business.
Monitor KPIs and drive continuous efficiency improvements.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.
Description
Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

We are seeking a data-driven and strategic Cloud FinOps Analyst to enhance our cloud cost visibility, drive cost efficiency, and influence strategic decision making across our engineering organization. In this role, you will play a key part in building and maintaining actionable insights into cloud usage and spend, collaborating with engineering, finance, and product teams to shape a data-informed FinOps practice that supports scale and sustainability.
As a Cloud FinOps Analyst, you will...
Build and maintain cloud cost and usage visibility, providing summaries and detailed usage statistics for resources across the public clouds.
Analyze cloud cost and business data, and propose solutions to problems using advanced analysis methods.
Collaborate with the development and finance teams on cost optimization, budget, forecasting, and showback.
Build a strong correlation between cloud cost and the business usage data represented in a unit economics model.
Develop and track key metrics and performance indicators to evaluate and maintain cloud spend health.
Create real-time alerts based on the data models to identify anomalies in the cloud spend.
Effectively use cloud cost management tools.
Support cloud tagging strategies and ensure accurate cost attribution across teams and products.

We are looking for a detail-oriented, proactive, and experienced Collections Analyst to join our finance team. In this role, you will be responsible for managing accounts receivable, ensuring the timely collection of outstanding debts, and maintaining strong customer relationships.
As a Collections Analyst, you will...
Manage a portfolio of accounts, ensuring the timely collection of outstanding invoices
Communicate with customers to resolve payment discrepancies and disputes.
Reconcile customer accounts and process payments accurately
Collaborate with sales and Billing teams to address billing issues
Prepare regular reports on collection activity and account status
Identify and implement process improvements to enhance collection efficiency