לוח משרות דרושים Senior Data Analyst משרה מלאה

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.

Senior data Analyst.
About the Role:
Were looking for a Senior data Analyst to join our Research Department someone who loves diving into data, solving complex problems, and shaping meaningful insights that drive business decisions.
 
What Youll Do:
Work closely with the research team to connect the dots and see the bigger picture. Learn and understand the companys data -gathering mechanisms. Tackle business challenges by analyzing data and providing actionable insights. Develop advanced logic flows to detect key events and produce high-value insights. Conduct recurring and ad hoc analyses for business stakeholders. Research and implement new tools or methods to enrich and enhance datasets.
 
Who You Are:
Youre curious, proactive, and love turning data into action. You think in terms of value, not vanity metrics and youre not afraid to experiment, fail, learn, and improve. You take ownership of your work from start to finish, communicate with confidence, and enjoy collaborating with diverse minds.

As a hybrid analyst-data scientist, youll partner closely with Customer Success, Professional Services, Training, and Support teams to deliver both advanced modelling, and foundational analyses. Youll uncover patterns, build models, and translate complete findings into clear, actionable recommendations that influence senior leadership decisions and improve Enterprise customer outcomes.
If you thrive on uncovering patterns in data, influencing high-level business strategy, and translating insights into measurable customer outcomes, this role is for you.
Responsibilities:
Work as part of a small Customer Success Insights and Operations team that leads data analysis, predictive insights and operational support to a growing CS team dedicated to the success of our customers.
Deliver actionable analyses and insights across key Enterprise CS OKRs, initiatives and growth experiments - leading 2-3 strategic projects per Quarter. These projects could be anything from churn analysis, expansion-likelihood modelling, behaviour clustering, to NPS sentiment and customer success plan performance.
Build, test and maintain predictive and statistical data models that identify risk, quantify revenue opportunities and prioritise CS actions at scale.
Support the creation of dashboards with our BI team that track customer health, renewal risk, and engagement impact across our enterprise accounts.
Design and analyse growth and expansion experiments to identify and scale opportunities for product adoption and usage expansion.
Partner with CS leadership to support MBRs/QBRs, operational reviews, and executive reporting.
Drive cross-functional collaboration with Product, Sales, and Marketing to ensure alignment on customer insights and opportunity areas.
Respond to specific internal CS requests to support customer retention and growth plays, delivering 5+ high-value analyses monthly that fuel CS OKRs and strategic decision-making.
Leverage statistical and analytical tools (e.g., SQL, Python, statistical / ML libraries as well as BI tools like Qlik) to model data, test hypotheses, and communicate recommendations with clarity and impact.
Explore and help operationalise the use of AI-tools like ChatGPT and Google Gemini to support analysis velocity, identify patterns and automate insights generation.
Champion data quality and governance, ensuring reliable and scalable data pipelines in partnership with MIS and Data Engineering teams.
Advise on KPI design and performance tracking for Enterprise CS metrics including NRR, GRR, churn, and adoption health scores.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re 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. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d 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.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

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.