We鈥檙e seeking a Senior Data Analyst to join our Revenue Analytics team in Pune. This role partners closely with our Data Scientist, Analytics Engineer, and global Revenue Operations leaders to translate business questions into reliable metrics, scalable datasets, and actionable insights across the revenue lifecycle. If the Data Scientist focuses on advanced modeling and experimentation, the Senior Data Analyst ensures the analytical foundation, business context, and operational insights that make those models impactful.
This full-time onsite role is ideal for someone who blends strong technical skills with business acumen and thrives in a collaborative, high-impact environment.
What you鈥檒l do
Turn business questions into actionable insights
Analyze data across Sales, Marketing, and Customer Success to surface trends, risks, and growth opportunities. Deliver clear, decision-ready insights that guide revenue strategy and execution.
Own revenue metrics & reporting
Define, build, and maintain core revenue KPIs鈥攊ncluding pipeline health, forecasting accuracy, conversion rates, retention, and expansion. Ensure metric consistency, documentation, and alignment across teams.
Build analytical foundations
Design scalable data models and curated datasets that support advanced analytics and data science initiatives. Partner with the Data Scientist and Analytics Engineer to ensure clean, reliable, and analysis-ready data.
Support forecasting & planning
Develop analyses that improve forecast accuracy, capacity planning, territory design, and performance management across the GTM organization.
Enable executive decision-making
Translate complex analysis into clear narratives and recommendations for Revenue leadership. Partner with the Data Visualization Specialist to deliver insights through world-class dashboards and executive presentations.
Collaborate globally
Work closely with the Director of Revenue Analytics, Data Scientist, Analytics Engineer, and Revenue Operations leaders and across global teams to align priorities, share insights, and co-develop analytics solutions.
Strengthen data quality & governance
Establish best practices for data validation, documentation, and analytical rigor. Proactively identify data gaps, inconsistencies, and process improvements.
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