Data Analyst

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 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.