Senior Revenue Analytics & Forecasting Lead

Thomson Reuters; Eagan (MN); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid Work Model

Flex My Way (work-life flexibility)

Career Development & Growth programs

Industry competitive benefits

Inclusive culture & social impact

Job summary

Thomson Reuters is seeking a Lead Reporting & Forecasting Analyst to drive analytics and reporting for the Revenue Operations and Management function. You will own forecasting, KPI dashboards, data storytelling, and collaboration across Revenue Operations, DSIG Finance, and Sales teams to surface actionable insights.

The role requires a finance background, extensive experience with sales data, and proficiency in Alteryx, Tableau, Power BI, and SAP, with a focus on AI-assisted reporting and

Qualifications

• 4-year college degree in Finance or Accounting required.
• 5+ years of experience in a Finance role.
• Experience supporting a high-performing sales organization.
• Experience evaluating customer data and trends to identify opportunities.

Responsibilities

• Serve as an ambassador for sales results and forecasting, driving collaboration with Revenue Operations to help deliver on revenue goals.
• Develop domain expertise in Sales data to support forecasting and sales performance processes.
• Partner with the Business Systems team and use Alteryx, Tableau and Power BI to aggregate data and build reliable data lakes.
• Collaborate with Systems Finance to enhance and streamline source-system data.
• Provide product-level analytics and reporting, tracking performance, adoption, and revenue trends.

Job description

Thomson Reuters is seeking a Lead Reporting & Forecasting Analyst to drive analytics and reporting for the Revenue Operations and Management function. You will own forecasting, KPI dashboards, data storytelling, and collaboration across Revenue Operations, DSIG Finance, and Sales teams to surface actionable insights.

The role requires a finance background, extensive experience with sales data, and proficiency in Alteryx, Tableau, Power BI, and SAP, with a focus on AI-assisted reporting and