Senior Manager, Commercial Forecasting and Insights
New
USFull-TimeManager
Salary115,000 - 145,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- SQLData AnalysisMicrosoft Power BITableauCRM
Requirements
- Bachelor’s degree in Business, Finance, Economics, Data Analytics, or a related field.
- 10+ years of experience in commercial analytics, forecasting, or revenue operations.
- Strong track record of influencing or owning forecasting processes in complex commercial environments.
- Advanced analytical capabilities and ability to translate data into strategic business insights.
- Advanced proficiency in data analysis and visualization tools such as Power BI, Tableau, or SQL.
- Experience building or supporting predictive models, statistical forecasting, or scenario-based analysis.
- Ability to interpret large datasets and translate insights into executive-level storytelling and recommendations.
- Strong cross-functional collaboration skills with Sales, Finance, and executive stakeholders.
- Experience improving funnel performance, pipeline management, and revenue predictability.
- Familiarity with CRM systems, BI platforms, and forecasting tools.
- Ability to travel up to 10%.
Responsibilities
- Own and continuously improve global forecasting processes across orders, revenue, and commercial performance, ensuring consistency, accuracy, and transparency.
- Develop and standardize forecasting frameworks across regions and business units, aligning outputs with financial planning and growth objectives.
- Build and enhance predictive forecasting models using pipeline data, conversion rates, and key performance indicators.
- Implement scenario planning and risk-adjusted forecasting to support strategic decision-making and business resilience.
- Deliver executive-level commercial insights, translating performance data into clear narratives, trends, and actionable recommendations.
- Monitor funnel health, pipeline quality, velocity, and coverage to identify risks and optimize conversion performance.
- Partner with Sales and Finance leaders to support territory planning, quota setting, and incentive alignment strategies.
- Design and maintain dashboards, reports, and analytics tools in collaboration with BI and data teams.
- Ensure data integrity, governance, and automation across forecasting systems and reporting infrastructure.
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