Revenue Forecasting & Analytics Lead - Hybrid

Thomson Reuters

Eagan (MN)

Hybrid

USD 100,000 - 186,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model
Flexible vacation
Mental health days
Tuition reimbursement

Job summary

Thomson Reuters is seeking a Lead Sales & Operations Reporting Analyst to partner with Revenue Operations leadership in turning sales data into actionable decisions. You will own analysis, forecasting, and narrative insights across segments, building executive-ready reporting and dashboards while leveraging AI tools to accelerate insights.

You will collaborate across Finance, Sales, and Systems teams, own KPI development, and drive process improvements with a mindset toward rapid data-driven

Qualifications

  • 4-year college degree in Finance, Economics, or Data Analytics.
  • 5+ years of experience in Revenue Operations, Sales Operations, or a Finance role.
  • Experience supporting a high-performing sales organization.
  • Strong experience with data, CRM data, and sales information.
  • Strong Excel and PowerPoint skills.

Responsibilities

  • Serve as an ambassador for sales results and forecasting, building relationships across Revenue Operations, DSIG Finance, Systems Finance, and Sales teams.
  • Develop domain expertise in Sales data to support forecasting and sales performance processes.
  • Partner with Business Systems and use Alteryx, Tableau, and Power BI to build reliable data lakes.

Skills

Sales data analysis
Forecasting
Excel
Power BI
Communication
Data storytelling

Education

Finance/Economics/Data Analytics degree

Tools

Alteryx
Tableau
Power BI
SAP

Job description

Thomson Reuters is seeking a Lead Sales & Operations Reporting Analyst to partner with Revenue Operations leadership in turning sales data into actionable decisions. You will own analysis, forecasting, and narrative insights across segments, building executive-ready reporting and dashboards while leveraging AI tools to accelerate insights.

You will collaborate across Finance, Sales, and Systems teams, own KPI development, and drive process improvements with a mindset toward rapid data-driven

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