Data Analyst, Revenue Operations
Listed on 2026-03-01
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security -
Business
Data Analyst, Business Systems/ Tech Analyst
Position Summary
The Data Analyst, Revenue Operations owns performance analytics and insights across the end-to-end GTM engine, spanning Marketing, SDR, Sales and Account Management. This role is responsible for turning operational data into clear narratives that improve conversion rates, pipeline quality, win rates, retention, and expansion.
This role focuses on measurement, insight, and strategic guidance-answering what’s working, what’s not, and why across the customer journey.
You will partner closely with Sales, Marketing, Customer Success, Finance, and Rev Ops leadership to connect pre-sale decisions to post-sale outcomes (retention, churn, expansion, revenue quality) helping the business understand which customers we should win, how we should win them, and how those decisions affect long-term revenue.
Key responsibilities Own analysis across the full revenue lifecycle:- Provide defined GTM-level insights that connect demand generation to pipeline outcomes, including:
- Win-rate and cycle-time trends by source/segment to inform targeting
- Deal quality indicators (e.g., source mix, segment fit, vertical)
- Support weekly/monthly business review readouts with decision-oriented narratives from business owners (what changed, why it matters, recommended next steps).
- Answer ad hoc questions as capacity allows through an intake/prioritization process.
- Deliver recurring reporting and insights by:
- Channel, campaign/program, vertical/segment, tiering, and source type
- Conversion rates, velocity, and drop-off analysis between stages
- Build and maintain standard Marketing performance dashboards, including:
- Funnel and waterfall views
- Leading indicators (volume, speed-to-lead, meeting rates, quality metrics)
- Pipeline contribution (sourced and influenced, where definitions exist)
- Produce actionable insights that translate into clear recommendations:
- Where to invest (segments/channels/programs)
- Where leakage occurs and what behaviors correlate to better outcomes
- Quality and efficiency trends (not just volume)
- Own measurement and recurring reporting for GTM handoffs and SLAs across the revenue funnel
- Build standardized handoff dashboards that highlight:
- Volume, conversion, speed/aging, and leakage at each handoff point
- Variances by segment/vertical, source, region, and team
- Root-cause hypotheses (data-backed) and recommended actions
- Partner with Marketing Ops, Sales Ops, and CS Ops to align on:
- Definitions and measurement logic for each handoff
- Data requirements needed to report consistently (fields/statuses/timestamps)
- This role provides visibility and insights; handoff process design, enforcement, and system configuration remain owned by the relevant Ops/System owners.
- Maintain trusted definitions for Marketing funnel and related GTM metrics (documented and version-controlled).
- Monitor reporting health and surface issues (missing source, mapping gaps, stage inconsistencies, tracking anomalies).
- Own GTM dashboards and standard reporting while ensure data consistency and trusted definitions company wide.
- Move beyond dashboards to deliver insight narratives that explain trends, tradeoffs, and implications for leadership
- Support weekly business reviews, QBRs, and executive readouts with clear, decision-oriented analysis
- Translate complex analyses into clear recommendations for GTM and executive leadership
- Support experiments and evaluations related to:
- Pricing and packaging
- Coverage and capacity decisions
- Sales motions and segmentation
- Identify opportunities to improve win rates, retention, and expansion through data-backed insights
- Bachelor’s degree in Business, Analytics, Economics, Information Systems, or related field preferred (or equivalent relevant experience).
- 2–5 years of experience in analytics, Revenue Operations, Marketing Operations analytics, Sales Operations analytics, or a similar role in a B2B SaaS (or comparable) environment.
- Proven experience building and maintaining funnel and GTM performance reporting by creating dashboards…
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