Note: The job is a remote job and is open to candidates in USA. JD Power is seeking an Analyst, Revenue Operations to serve as the analytical foundation of our Revenue Operations organization. This high-impact role involves building and maintaining reporting infrastructure and data analyses to support executive-level decision-making within the RevOps team.
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
Skills
- 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
- Advanced Excel and/or Google Sheets: comfortable building multi-tab models, pivot analyses, cohort tables, and scenario comparisons from raw CRM exports without hand-holding
- Salesforce reporting proficiency: able to build reports and dashboards from Salesforce objects independently, understand basic data relationships, and identify root causes of data quality issues
- BI tool proficiency: experience in Tableau, Looker, Power BI, or equivalent; able to build clean, stakeholder-ready dashboards with correct filtering, appropriate aggregation, and clear visual logic
- Data accuracy obsession: you check your own work, document your methodology, flag data limitations proactively, and never let a bad number reach a stakeholder without a caveat
- Clear written communicator: able to annotate analysis with plain-English insights, write concise report commentary, and explain what a metric means — not just what it is
- Highly organized and reliable: you manage a recurring reporting calendar, meet deadlines consistently, and proactively communicate when something is delayed or uncertain
- Curious and self-directed: you ask why numbers look the way they do, follow threads that seem off, and bring findings to the Director of Revenue Operations without waiting to be asked
- Experience with SQL or similar query languages for direct data extraction from a data warehouse or analytics platform
- Familiarity with CS platform reporting (Gainsight, Totango, or ChurnZero) for retention and health score analytics
- Exposure to revenue forecasting or pipeline intelligence platforms (Clari, Gong, Aviso)
- Experience supporting board-level or executive reporting preparation in a B2B SaaS environment
- Basic understanding of SaaS revenue recognition concepts and how bookings relate to recognized revenue
Company Overview