לוח משרות דרושים Senior Data Analyst

Required Senior Business Analyst
The Senior Business Analyst will lead strategic and tactical initiatives across the organization, translating complex data into actionable insights and measurable business outcomes. This role requires strong ownership, independent execution, and close collaboration with cross-functional stakeholders.
Key Responsibilities:
Own and lead end-to-end analytical projects tied to core business processes, with direct impact on revenue growth, cost efficiency, and profitability.
Analyze business performance across products, channels, and customer segments, and translate insights into clear recommendations for strategic and tactical decision-making.
Build, maintain, and continuously improve reports, dashboards, and KPIs to support business monitoring and executive decision-making.
Partner with stakeholders across Strategy, Marketing, Product, Operations, and Finance to drive execution and ensure alignment with business objectives.
Conduct deep customer analysis, including segmentation, lifetime value, profitability, behavioral trends, and cohort analysis.
Work with large, complex datasets and develop scalable analytical tools to streamline processes and improve operational efficiency.
Deliver ad-hoc analyses under tight timelines to support fast-paced business decisions.
Ideal Candidate Profile:
A proactive, hands-on business analyst who takes full ownership of initiatives from problem definition through execution and measurable impact.
Strong commercial mindset with the ability to connect data insights to P&L drivers, growth levers, and profitability optimization.
Comfortable operating independently in a fast-growing, dynamic environment, while influencing stakeholders without formal authority.
Highly analytical, detail-oriented, and driven by turning data into clear actions and results.

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 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.

we are looking for a brilliant Data Analyst to join our fast-growing company and Data department. As part of this position, you will be working alongside various teams that are responsible for shaping our top-tier clients' and freelancers' experience. You will take a significant part in decision-making and proactively guide our business growth, based on data analysis
Were looking for someone who is AI-native, tech-savvy, and curious by nature - a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action.
You will be required to answer complex and strategic questions defined by executive management and various business units, create insightful recommendations, and initiate deep-dive analysis for specific domains. You will need to support new initiatives and proactively guide the business growth, working independently and within a team.
What am I going to do?
Data analysis focal for business & product-related teams
Proactively provide insights that will lead the business growth
Ability to model/simulate new features & opportunities, estimated impact
Build and maintain the teams reporting set and dashboards
Manage multiple tasks in a fast-paced working environment
Conduct deep-dive analyses with actionable recommendations and conclusions.

Required Senior Data Analyst, Risk & Fraud
Job Overview
As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help us prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety. This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.

Required Staff Data Analyst, Risk & Fraud
Job Overview
As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize our ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities:
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks.

Required Senior Analyst, Market Delivery
Job Overview:
Customer Delivery Europe is in the centre of the Europe organization and the key contact between the Divisions, Operations and Technology, Global Products & Solutions and the other business units. We are close to the markets and to our customers.
Market Delivery Managers lead end-to-end project and program management for complex customer onboarding journeys, ensuring seamless integration from business impact to technical execution. They act as strategic consultants and technology relationship managers, guiding customers through operational changes, resolving technical issues, and coordinating with our subject matter experts. Their role also includes supporting TAM services, driving cross-functional collaboration, and enhancing delivery performance across local markets and key accounts.
Role:
Deliver standard projects and/or products flawlessly with high customer satisfaction
Handle medium to large customers with standard or moderately complex project scopes.
Manage basic customer escalations and non-complex operational/technical issues with support from manager or peers.
Handle PMO roles for customers and coordinate with stakeholders.

We are seeking a highly skilled Senior Data Analyst with strong technical expertise and a passion for analysing and optimising the performance of mobile dating applications. The ideal candidate will bring a data-driven mindset and experience working in fast-paced digital environments
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

Were looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. Youll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities
Identify opportunities for improvement through data analysis aligned with company strategy.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team at to keep scaling!

We are seeking a Senior Data Analyst to serve as the primary interface and strategic analytics partner between Data Engineering / DWH teams, management, and business leaders. In this strategic role, you will work closely with leadership and business partners to translate business objectives into actionable data solutions, establish analytics standards and best practices, and lead experimentation across core business processes. You will also plan, prioritize, and manage analytics initiatives and roadmaps, ensuring the timely delivery of insights and solutions that drive informed decision-making across Marketing, Sales, Finance, Support, and Customer Success.
Key Responsibilities
Serve as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholders
Translate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogs
Collaborate with Data Engineers on DWH requirements, data models, and pipelines
Plan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectives
Support stakeholders in understanding, interpreting, and using ingested and production data
Define and own analytics standards, metrics, and best practices across the company
Design, execute, and analyze experiments to optimize core business processes
Define dashboard requirements and deliver impactful dashboards and insights
Work with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality.

Were seeking a passionate, experienced Senior Data Analyst to join our team.
Our offices are located in Poleg, Netanya, and we work in a hybrid model.
Responsibilities:
Drive strategic insights by working hands-on with complex data sets, seamlessly blending structured quantitative metrics with unstructured qualitative data (e.g., text, consumer feedback).
Build agile analytical solutions, developing and maintaining advanced visual reports and interactive dashboards in Power BI to allow stakeholders to consume complex data easily.
Deliver high-impact presentations (in English) to cross-functional teams and senior leadership, transforming raw data into clear, coherent, and compelling narratives that drive action.
Optimize and automate: Proactively identify bottlenecks in current research processes and reduce turnaround times by building automated pipelines, templates, and dynamic models using SQL and Advanced Excel.
Act as a strategic partner: Work highly autonomously to map business needs, master new domains on the fly, and provide data-driven guidance. This is an individual contributor role.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad.

As a Senior Product Analyst, you will partner closely with Product Managers, Engineering, Design, and Business stakeholders to turn data into actionable insights. Youll define success metrics, analyze product performance, and influence product strategy and prioritization across platform.
What Youll Do
Own and develop product KPIs to track usage, engagement, retention, conversion, and growth
Analyze user behavior and product performance to identify opportunities, risks, and improvement areas
Design, execute, and analyze A/B tests and experiments, from hypothesis to actionable recommendations
Partner with Product Managers to support roadmap planning and feature prioritization based on data and ROI
Perform deep-dive analyses on funnels, cohorts, and user segments
Leverage AI-powered analytics tools (e.g., Cursor, ChatGPT, AI copilots) to accelerate SQL, analysis, documentation, and insight generation
Clearly communicate insights and recommendations to product teams and senior leadership

As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.