Data Analyst

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 opportunity.

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.