
Role Overview:
The role involves solving business problems by combining data analysis with on-ground business understanding to drive improvements in sales performance, customer lifecycle outcomes, partner productivity, and product usage through actionable, data-backed insights.
Key Responsibilities:
- Identify and structure high-impact business problems across sales, renewals, customer adoption, and product performance.
- Engage with sales teams, partners, customers, and new markets to understand on-ground execution and behavioural gaps.
- Analyse sales, usage, and operational data to identify key patterns, correlations, and performance drivers.
- Perform funnel, cohort, and root-cause analysis across conversions, churn, upsell, cross-sell, and new product scale-up.
- Build early-warning indicators and leading metrics to flag revenue and retention risks proactively.
- Translate insights into clear, actionable recommendations and work cross-functionally to drive execution outcomes.
Skill Sets:
- Strong analytical and problem-solving skills.
- Ability to derive insights and validate hypotheses using data.
- Understanding of SaaS metrics.
- Hands-on experience with Excel, SQL, or Python.
- Strong communication, documentation, and presentation skills.
- Comfortable in fast-paced, cross-functional environments.
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