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Remote role, generalist Data Analyst title, mid experience band, and broad BI/modeling requirements raise competition.
Transferable data skills but role leans toward sales/revenue analytics domain expertise, so moderately sensitive.
Explicit 4–8+ year requirement plus mandatory predictive modeling and BI experience increases shortlisting rigor.
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Build and maintain predictive models and reporting frameworks for sales forecasting, pipeline, and KPIs focusing on forward-looking insights.
Develop scalable BI dashboards and standardized KPI definitions in collaboration with Sales Ops, Finance, and IT to ensure consistent and actionable sales performance metrics.
Partner cross-functionally to improve forecast accuracy, support scenario modeling, and transition forecasting from manual processes to data-driven solutions.
4–8+ years of experience in Data Analytics, Sales Analytics, Revenue Analytics, or similar roles.
Strong expertise in predictive modeling, forecasting methodologies, and statistical analysis.
Proficient in building BI dashboards and scalable reporting frameworks using approved tools.
Experience working cross-functionally with Sales, Finance, and IT teams for data integration and analytics initiatives.
Experienced in applying advanced analytics to sales and revenue performance with a focus on improving forecast accuracy and operational decision making.
Skilled in developing scalable and repeatable reporting systems that replace manual or spreadsheet-dependent processes.
Able to construct and explain complex predictive models that diagnose causes of sales performance shifts, not just describing outcomes.