Description
Partner with Thomson Reuters Sales and Revenue Operations leadership to turn sales and revenue data into decisions. As Lead Sales & Operations Analyst, you own the analysis and the narrative behind segment performance, forecasting, and pipeline , translating numbers into a clear "so what" that shapes how leaders act.
Key Responsibilities:
- Serve as an ambassador for sales results and forecasting, building strong relationships across Revenue Operations, DSIG Finance, Systems Finance, and Sales teams to operationalize sales performance and forecasting processes
- 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 and synthesize disparate data sets and build reliable data lakes
- Partner with Systems Finance and DSIG Finance to source and streamline underlying source-system data
- Use internal data (Territories, Quota, Sales) to provide best-in-class reporting to sales teams
- Act as a decision-support partner to segment sales leadership , bringing analysis, risk assessment, and recommended actions, not just numbers
- Provide segment- and product-level analytics and trends to support leadership decisions on product performance and revenue
- Develop and maintain executive-ready monthly reporting, KPIs, dashboards, and scorecards that track sales performance against targets
- Own forecasting and pipeline analytics , build, challenge, and explain insights to support target setting and validated segment data
- Curate and validate final sales results and actuals restatements to maintain a reliable historical record
- Analyze data and metrics to tell a story that drives sales insights and communicate results to segment leadership
- Conduct deep dives to identify trends, risks, and areas for improvement; lead significant projects and drive process improvement
- Use AI tools such as Claude and Copilot to accelerate report production, synthesize data, and draft narrative insights for leadership
- Coach and mentor junior team members and perform ad-hoc reporting and analysis as necessary
Required 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
- Proactive and organized, with the ability to multitask and manage competing priorities
- Ability to translate data into clear, executive-ready stories and recommendations
- Superior diagnostic, problem-solving, and communication skills
- Proven ability to build relationships with and influence at all levels of the organization
- Self-starter able to work autonomously and influence leaders within a complex, matrix organization
- Demonstrate adoption of TR Mindsets and Behaviors
Benefits:
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact
- Making a Real-World Impact