Commercial Analytics Leader

Commercial Intelligence Strategy and Roadmap

Define and own the commercial analytics strategy, roadmap, and operating standards across brands, products, regions, and commercial motions.

Translate executive priorities and commercial objectives into a prioritized portfolio of analytical capabilities, business questions, and measurable outcomes.

Establish the progression from reliable descriptive performance reporting to diagnostic, predictive, and prescriptive AI-enabled decision intelligence.

Commercial Performance Metrics and Reporting Architecture

Own the commercial architecture and governance of RevOps performance reporting, including metric definitions, calculation rules, analytical views, reporting standards, and management cadences.

Build a coherent reporting framework based in Salesforce, collaborating with Power BI, billing sources and finance systems, marketing systems, and other relevant commercial data tools.

Reduce duplicated calculations, conflicting reports, spreadsheet dependencies, and legacy dashboards through standardized, reusable analytical assets.

Data Integrity, Reliability, and Analytical Trust

Partner with RevTech, Data Engineering, Data Science, Finance, and source-system owners to validate analytical logic, reconcile discrepancies, identify data gaps, and resolve recurring quality issues.

Establish appropriate standards for data freshness, reconciliation, completeness, lineage, calculation validation, change management, and issue escalation.

Make analytical reliability, traceability, and business confidence measurable operating priorities.

Business Translation and Executive Decision Support

Translate complex data and analytical outputs into concise narratives connecting performance, drivers, implications, recommendations, actions, and outcomes.

Serve as a trusted analytical partner to Sales and GTM Leadership, RevOps, Customer Success, Marketing, Finance, Product, and Strategy.

Support business reviews, forecasting, strategic planning, and other commercial decisions.

Revenue Performance and Commercial Optimization

Analyze performance across new-logo acquisition, pipeline conversion, account expansion, cross-sell, renewals, channel partnerships, and other relevant revenue motions.

Identify the drivers of attainment, forecast variance, sales productivity, deal velocity, customer growth, and revenue leakage.

Evaluate trends to uncover growth opportunities and execution constraints.

AI-Powered Analytics and Decision Intelligence

Partner with RevTech and Data Science to make governed commercial metrics and contextual business definitions accessible to approved AI tools, analytical agents, and natural-language interfaces.

Ensure AI-generated conclusions are grounded in approved data and metric definitions, with safeguards against unsupported conclusions and unauthorized data access.

Self-Service Analytics and Commercial Adoption

Develop governed self-service analytical capabilities that allow business users to answer common questions independently without creating competing versions of the truth.

Design analytical experiences around the decisions users need to make, embedding insights into existing commercial workflows where practical.

Establish standards for metric interpretation, analytical literacy, documentation, access, training, and responsible use.

Cross-Functional Governance and Continuous Improvement

Identify upstream process, integration, data-model, and instrumentation improvements required to strengthen the analytical foundation.

Coordinate delivery across commercial stakeholders, RevTech, Data Engineering, Data Science, Finance, and Technology without duplicating their functional responsibilities.

Continuously improve the speed, consistency, reliability, accessibility, and business impact of commercial intelligence.

5+ years of progressive experience in commercial analytics, revenue analytics, business intelligence, statistical analyses, or a closely related analytical discipline, including substantial ownership of business-facing analytics.

Demonstrated success translating complex commercial data into executive-level recommendations and measurable business improvements.

Experience designing governed metrics, scalable reporting architectures, or equivalent frameworks that support consistent reporting across multiple systems and stakeholder groups.

Strong understanding of B2B revenue operations, CRM data, pipeline and forecast management, sales compensation and commission attainment, customer lifecycle metrics, and expansion revenue.

Practical proficiency with SQL and Power BI or comparable enterprise tools; familiarity with Python or R, statistical analysis, data modeling, pacing, and predictive modeling/forecasting.

Experience partnering with Data Engineering and Data Science to validate data pipelines, analytical models, business rules, and model outputs.

Demonstrated ability to establish data governance, metric definitions, reconciliation standards, reporting controls, and trusted self-service analytics.

Strong executive communication, stakeholder management, structured problem-solving, and change leadership skills.

If you have any questions, please reach out to Megaport's Talent Acquisition Team at [email protected]

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