Description

The Data Analyst will focus on advanced analytics, predictive modeling, and scalable BI development to support Sales leadership with forward-looking insights. This role is responsible for building and maintaining predictive, repeatable reporting frameworks across forecasting, top-of-funnel performance, and core sales KPIs.

Advanced Analytics & Predictive Modeling

- Design and maintain predictive models to support revenue forecasting, pipeline movement, deal progression, and funnel conversion.

- Analyze historical sales performance to identify patterns, drivers, and leading indicators of future outcomes.

- Build models that explain why performance shifts occur (pushes, pulls, slips), not just what happened.

- Continuously refine assumptions and logic as data quality, coverage, and processes mature.

Forecasting & Revenue Intelligence

- Partner with Sales leadership, Finance, and IT to improve forecast accuracy, consistency, and scalability.

- Develop analytics that connect pipeline data, bookings, and historical trends into a unified forecasting view.

- Support scenario modeling and sensitivity analysis to evaluate risk, upside, and contingency planning.

- Help transition forecasting away from heavy manual Excel processes to structured, model-driven reporting.

Funnel & Sales KPI Reporting

- Build scalable reporting for top-of-funnel, mid-funnel, and late-stage pipeline performance.

- Define and standardize KPI logic in partnership with Sales Ops and Finance (e.g., conversion rates, velocity, win rates).

- Ensure consistent metric definitions across dashboards to support leadership confidence in data.

- Identify early warning signals in the funnel that indicate future performance risk or prospect.





BI Development & Scalable Reporting

- Design and deliver dashboards using approved BI tools in partnership with IT.

- Translate business questions into structured data models and visualizations.

- Ensure reporting solutions are performant, maintainable, and reusable rather than one-off analyses.

- Document methodologies, assumptions, and data sources to ensure transparency and scale.

Cross-Functional Partnership

- Act as a bridge between Sales, Finance, and IT on analytics and reporting initiatives.

- Collaborate with IT on data pipelines, source system integration, and architectural decisions.

- Align with Finance on revenue definitions, forecasting assumptions, and performance measurement.

- Support Sales Operations by providing analytically sound inputs that feed operational processes (without owning those processes).

Requirements

- 4–8+ years experience in Data Analytics, Sales Analytics, Revenue Analytics, or similar roles.

- Strong experience with predictive modeling, forecasting logic, and statistical analysis.

- Experience building BI dashboards and scalable reporting frameworks.

- Comfortable working with imperfect data and iterating toward better models over time.

- Experience partnering cross-functionally with Sales, Finance, and IT teams.

- Strong written and verbal communication skills, with the ability to explain complex findings clearly.

Success in This Role Looks Like

- Forecast accuracy improves as models replace manual assumptions.

- Leaders rely on dashboards as a single source of truth for sales performance.

- Funnel health and risk are visible earlier and more consistently.

- Reporting is repeatable, scalable, and explainable—not spreadsheet-dependent.

- Analytics becomes proactive, not reactive.

📌 Data Analyst (India)
🏢 Fortive
📍 India