Revenue Operations Analyst
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Job Description
Data analyst driving revenue operations analytics at JD Power. Transforming complex data insights into actionable intelligence for executive decision-making.
Responsibilities:
- 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 RevOps systems and data teams to identify and escalate 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.
Requirements:
- 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 architecture (Objects, fields, record types, relationships) and the ability to troubleshoot data quality issues at the CRM level.
- Experience with at least one BI tool (Tableau, Looker, Power BI, or equivalent) for building revenue and pipeline dashboards that non-technical stakeholders actually use.
- Demonstrated track record building accurate, well-documented analytical deliverables under recurring time pressure — weekly reports, monthly packages, ad-hoc analyses — without sacrificing quality.
- Exposure to core B2B SaaS revenue metrics and the ability to explain them clearly: ARR, NRR, GRR, pipeline coverage, forecast accuracy, win rate, renewal rate, and churn cohort analysis.
Benefits:
- JD Power is committed to employing a diverse workforce.
- Accommodations during the recruitment and selection process available.
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