Revenue Operations Analyst

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚗 Transport

☁️ SaaS

🤝 B2B

Transport • SaaS • B2B

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• 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.