דרושים » דאטה » Senior Data Analyst for Data Group

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 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.

We are looking for an experienced Senior Data Analyst to help us shape our strategy and processes by bringing data-driven recommendations.
In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
A fantastic place to work. We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

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.

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

We are looking for a highly skilled and detail-oriented FP&A professional to join our finance team. In this role, you will be responsible for developing and maintaining the FP&A platform, creating complex financial models, supporting budgeting processes, and providing data-driven insights to drive strategic decision-making. You will collaborate closely with multiple teams, including subsidiaries abroad, to ensure financial plans align with business goals. This role requires a strong analytical mindset, proven experience in financial planning, and the ability to translate complex data into actionable recommendations.

What am I going to do?:

* Develop and maintain Fiverr’s FP&A Platform
* Create financial models to support budgeting, forecasting, and long-term financial planning.
* Lead the budgeting process, working closely with stakeholders to ensure accurate planning and cost control.
* Perform variance analysis and provide meaningful insights on financial performance.
* Lead monthly forecasting cycles, including cash flow projections and scenario planning.
* Support payroll cost analysis and projections, ensuring accurate forecasting of compensation-related expenses.
* Collaborate with accounting on month-end closing and reporting processes.
* Partner with teams across the organization, including international subsidiaries, to provide financial guidance and ensure budget alignment.
* Deliver ad-hoc financial analysis and reports to support decision-making.

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are looking for a hands-on Data Team Lead to manage and grow our analytics function. You will lead a team of analysts, own our BI infrastructure, and partner directly with Executive, Product, and Risk leadership to translate complex data into strategic business decisions.

Responsibilities
Lead & Mentor: Manage, recruit, and develop a high-performing team of data analysts.
Drive Strategy: Partner with stakeholders to define KPIs and deliver insights on credit risk, merchant growth, and operational efficiency.
Build Infrastructure: Own the development of self-service dashboards (Tableau/Looker) and maintain the semantic layer in collaboration with Data Engineering.
Execute Analysis: Lead complex analyses and A/B tests to optimize approval rates, pricing, and user experience.
Data Governance: Ensure data quality, accuracy, and documentation across the organization.