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Analyst, Revenue Operations

Job in Lansing, Ingham County, Michigan, 48900, USA
Listing for: JD Power
Full Time position
Listed on 2026-06-27
Job specializations:
  • Business
    Business Analyst, Data Analyst, Business Development, Business Intelligence
Salary/Wage Range or Industry Benchmark: 115000 - 124000 USD Yearly USD 115000.00 124000.00 YEAR
Job Description & How to Apply Below

Job Description

The Opportunity JD Power is seeking an Analyst, Revenue Operations to serve as the analytical foundation of our Revenue Operations organization. This is a high-visibility, high-impact role for an analytically rigorous professional who is energized by turning complex, messy data into clean insights that drive decisions at the executive level. This role sits within the Revenue Operations organization and serves the entire Rev Ops function — including GTM Strategy & Planning, Commercial Operations, and Process & Enablement Operations.

As the analytical engine of the Rev Ops team, you will build and maintain the reporting infrastructure, pipeline and retention dashboards, and data analyses that give the VP of Revenue Operations and GTM leadership the visibility they need to make fast, confident decisions. You are the person who turns raw CRM and CS platform data into trusted, actionable intelligence. You will own the design, build, and maintenance of the reporting across pipeline health, forecast accuracy, renewal and retention performance, sales productivity, and GTM KPIs — supporting the VP of Revenue Operations and the broader Rev Ops team with the data they need to run the business.

You will work closely with Salesforce, the CS platform, and BI tools to ensure that every number the organization relies on is accurate, consistent, and delivered on time.

What You’ll Do
  • Build and maintain the forecast accuracy tracking model — capturing submitted forecast vs. actual closed-won by segment, product, rep cohort, and period — producing regular accuracy reports with root-cause analysis and historical pattern analysis to identify where accuracy breaks down and what deal-level signals are most predictive of close.
  • Build and maintain the forecasting input quality dashboard: tracking forecast submission completeness, required field adherence, and category distribution (commit / upside / pipeline) by segment and rep.
  • Support the KPI reporting deliverables for the CS Operations function, including Product Penetration, Market Basket, Customer
    360, and At‑Risk reporting — ensuring data accuracy, consistent metric definitions, and on‑time delivery.
  • Build and maintain health score distribution reporting and CSM productivity metrics — tracking health score trends, coverage gaps, and the correlation between health score signals and renewal outcomes.
  • Build and maintain sales productivity reporting: quota attainment by segment and rep tenure, ramp curves, win rates by segment and deal size, average sales cycle, average contract value, and pipeline‑to‑close conversion by stage.
  • Support capacity and coverage model maintenance — providing headcount, ramp, and productivity data inputs that the Director of Revenue Operations uses for AOP planning and in‑year reforecasting.
  • Partner with Rev Ops systems and data teams to identify and elevate data quality issues, broken CRM workflows, and reporting discrepancies; support data reconciliation between Salesforce, CS platforms, BI tools, and Finance on a defined cadence; and maintain clear documentation of report definitions, metric logic, data sources, and refresh cadences to ensure every number is auditable.
  • Support board and executive reporting packages by assembling data, building supporting analyses (win/loss, discounting patterns, churn cohort, segment whitespace, pipeline source), and creating clean exhibits that feed the executive narrative.
  • Support annual planning and quota‑setting by providing historical performance data, productivity benchmarks, and segment‑level analysis to inform capacity model assumptions; build ad‑hoc analyses for Sales, CS, and Finance leadership with fast turnaround, documented methodology, and honest assessment of data limitations; and proactively bring recommendations for reporting improvements and new metric frameworks to the Director of Revenue Operations.
What You Bring
  • 2–4 years of experience in Revenue Operations, Sales Operations, Business Analytics, or a closely related analytical role within a B2B SaaS or data‑driven organization.
  • Hands‑on experience building Salesforce reports and dashboards; familiarity with Salesforce data…
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