Senior Data Analyst
Cloudinary
full-time
Posted on:
Location Type: Hybrid
Location: Israel
Visit company websiteExplore more
Job Level
About the role
- 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.
Requirements
- 3-5 years of experience in a data analyst, data science or insights role, ideally within a Customer Success, Revenue Operations, or Product Analytics function in a SaaS environment or similar data-rich organisation.
- Strong analytical and quantitative skills with a demonstrated ability to translate complex data into clear business recommendations.
- Proven expertise in SQL, Python, data modelling, and visualisation tools and building datasets for consumption at scale.
- Experience working cross-functionally to support executive reporting, churn prevention, and revenue insights.
- Familiarity with Customer Success metrics and workflows (e.g., NRR, CSAT, NPS, CLTV).
- Strong business acumen and ability to communicate insights to senior leadership clearly and persuasively.
- Experience designing or analysing controlled experiments (A/B tests) to measure the impact of CS initiatives.
- Comfortable working autonomously in a high-growth, fast-paced environment.
- Excellent written and spoken English.
Benefits
- Awesome technology
- Top-talent peers
- Robust vacation & wellness policy
- Annual development stipend
- Catered lunches or a food stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysispredictive insightsstatistical data modelschurn analysisexpansion-likelihood modellingbehaviour clusteringNPS sentiment analysisSQLPythondata modelling
Soft skills
analytical skillsquantitative skillsbusiness acumencommunication skillscross-functional collaborationautonomypersuasivenessclarity in recommendationsproblem-solvingstrategic thinking