Senior Atlas Data Analyst

We’re building the AI-driven future of customer success, from retention to growth!

We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link https://www.gainsight.com.

About This Role:

We’re looking for a full-time Senior Atlas Data Analyst to join our Atlas- Sales team reporting to the Director, Commercial Analytics & Insights. This role is a hybrid role based out of Hyderabad, India.

In this role, you'll play a key role in underpinning every Atlas managed services commitment with a defensible quantitative foundation by reconstructing prospects' renewable bases, building baseline performance methodologies, and delivering QBR analytics. This is a great opportunity for someone who thrives in a rigorous, data-driven environment and enjoys working cross-functionally with teams like the Solution Design Architect, Forward-Deployed Engineering, and customer finance. The ideal candidate brings strong skills in advanced Excel, sales and renewal analytics, and defending methodology under challenge.

What You'll Do:

- Issue and lead the Atlas Diagnostic Data Request call; normalize, deduplicate, and reconcile accounts, contracts, and opportunities across disconnected customer systems; assign a data confidence rating that gates commercial pricing

- Break renewal performance into resolution, close, and conversion drivers; decompose erosion into customer loss, product loss, and downsell net of upsell; benchmark the customer against itself over time and against peer comparators

- Build the parity performance rate scoped precisely to geography, segment, and motion against which the do-nothing case and Atlas performance fee will be measured; document the methodology to survive first invoice; defend it directly against customer finance challenge

- Supply throughput, volume, and segment inputs that drive the capacity and cost-to-serve model for the Solution Design Architect; test AI autonomy assumptions against actual action volumes in the customer data

- Transfer data findings, lineage, joins, exclusions, and known defects to Forward-Deployed Engineering so implementation does not restart discovery

- Translate renewal reporting requirements into the customer's reporting console; maintain the standard forecasting roll-up across the delivery team

- Deliver QBR analytics on cadence, applying the agreed methodology consistently across reporting periods

This role requires limited travel, with occasional attendance at diagnostic kickoffs and executive readouts.