Senior Revenue Operations Analyst

Catapult Sports•Boston, MA

6d•$74,933 - $172,345•Onsite

About The Position

Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. We want people who turn commercial data into a clear point of view and who can stand behind that point of view in front of commercial leadership. Working as part of the Catapult Revenue Operations team in our Boston office, you will own the analysis behind our regular forecast and pipeline cadence, and the broader commercial insight set that sits behind it, including ACV trends, win/loss, rep performance, discounting, pricing, and hardware margin. You will be the person the CRO and regional VPs turn to for the answer to "where are we, what changed, and why?" not a report, but a narrative with a root cause and a recommended action attached. You'll work independently across Commercial, Finance, and Business Systems, partnering closely with our FP&A team to ensure the commercial forecast and the financial forecast tell one consistent story.

Requirements

5+ years in RevOps/SalesOps/commercial analytics with B2B SaaS forecasting ownership.
Skilled at root-cause analysis, moving beyond "what" to "so what" and "now what" with actionable recommendations.
Strong analytical range (bookings, pipeline, pricing, unit economics) with judgment on the right lens to use.
Comfort with hardware/software mixed-model margin analysis and COGS impact.
Exceptional communication: able to synthesize complex data into executive-ready, actionable one-page summaries.
Strong business partnering: builds credibility with sales leaders, engaging with curiosity rather than assumption.
Full ownership mindset: drives configuration, enablement, and process adoption through unglamorous follow-through.
Proven track record of identifying broken processes, building the business case, and driving organizational change.
Resilient problem-solver who takes responsibility for recovery and prevention when issues arise.
Advanced Excel/GSheets modeling, strong SQL, and hands-on Salesforce expertise (reports, dashboards, forecasting).

Nice To Haves

Experience with Databricks, Snowflake, Power BI, or comparable BI platforms
Familiarity with NetSuite, Salesforce CPQ, Einstein/Agentforce
Experience with pricing or packaging analysis, cohort analysis, or win/loss programs
Experience automating manual reporting workflows using AI tools, scripting, or system integrations
Experience in a global, multi-region commercial organization with distinct regional sales motions

Responsibilities

Own the global forecast summary, consolidating regional data into a single, actionable narrative for executive leadership.
Perform root-cause analysis on pipeline movement to identify forecast risks and quantify drivers like slippage, churn, and discounting.
Maintain forecasting data integrity and tool reliability to ensure commercial leaders can trust the numbers.
Analyze historical ACV and win/loss trends across segments and products to pressure-test forward-looking assumptions.
Evaluate sales team performance against quota, partnering with leaders to optimize territory design and productivity.
Proactively surface commercial risks and performance signals before they reach leadership through other channels.
Monitor discounting behaviors and price realization to support data-driven go-to-market and packaging decisions.
Analyze hardware COGS and blended margins to ensure leadership understands the true profitability of every deal.
Drive CRM hygiene and reporting discipline across sales teams to improve data quality and trust.
Develop self-service dashboards and automate manual reporting workflows using Salesforce and BI tools.
Partner with Finance and Sales Ops to ensure commercial data aligns perfectly with financial reporting.