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 RevOps function - including GTM Strategy & Planning, Commercial Operations, and Process & Enablement Operations. As the analytical engine of the RevOps 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 RevOps 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.

This role is a strong fit for an analytically minded professional who is curious about how revenue businesses work, takes pride in data accuracy, communicates findings with clarity, and is looking to grow into a senior RevOps or GTM analytics role at a data-driven company. You will be exposed to every dimension of the revenue model - new business, renewals, expansion, pipeline, retention - and have a front-row seat to how GTM leadership uses data to make decisions.

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 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.

What You Bring

Experience

• 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.

Skills & Capabilities

• 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.

Nice to Have

• 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.

This position has a starting salary range of $115K - $124K USD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employee's pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.