Senior Data Analyst driving customer insights to improve retention and engagement in B2B SaaS. Collaborating with Customer Success and data teams to support actionable data analyses and forecasting.
Responsibilities
Deliver customer insights - You will analyse customer usage, adoption, and engagement data to identify trends, risks, and opportunities. Package and present actionable recommendations to senior leaders to drive retention and expansion within our existing customer base.
Build and maintain dashboards - You will designed clear, reliable dashboards to track key CS metrics such as spend, NRR, churn, product adoption, and health scores.
Ensure data accuracy - This includes maintain data quality and reporting integrity, ensuring reliable and consistent metrics for decision-making.
Collaborate cross-functionally - Ongoing partnerships with Customer Success, Revenue Operations, Product, and Finance to align on customer KPIs and data definitions.
Enable proactive actions - You will develop alerts, triggers, or health models that help CSMs easily identify and act on at risk accounts and upsell opportunities.
Support forecasting & strategy - You will align with CS leadership to build retention models, renewal forecasts, and OKR tracking frameworks.
Improving Standards - You will define and improve data processes, reporting standards, and best practices within the CS and data functions.
Requirements
Proven experience in data analysis, business intelligence, or revenue operations within a growing B2B SaaS environment.
Exposure to Customer Success teams or similar commercial functions (Sales, RevOps, Product Growth).
SQL working proficiency (non-negotiable) - you’re confident querying and transforming complex datasets.
Experience with Salesforce (preferred) and familiarity with CS tools.
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