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Commercial Analytics Leader

Megaport· Sales – Global Sales and Revenue Operations
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RemoteFull-time - PermanentPosted 4d ago

About the role

The Commercial Analytics Leader serves as the primary strategic interface between commercial leadership and the organization's data, analytics, and data-science capabilities. This role connects trusted data, technical analytics, and business strategy to accelerate execution, with a focus on enhancing sales performance, revenue reporting, and commission-attainment metrics, and expanding into predictive analytics and AI-powered intelligence.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Qualifications

  • 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.

Skills

Required:Commercial analytics leadershipSQLPower BI
Nice to have:Python or R

Benefits

  • Birthday Leave
  • Flexible working environments
  • Generous study and training allowance + 5 days paid study leave
  • Creative, fun, and contemporary workspaces
  • A motivated team of industry experts and new talent
  • Celebrated success with ‘Legend’ and ‘Kudos’ Awards
  • Health and wellness program
  • Opportunities for career growth and potential for global intra-company transfers for interested candidates.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Network as a Service, Data Center and Cloud Connectivity.

Megaport offers scalable bandwidth for public and private cloud connections, metro ethernet, Data Centre backhaul, and Internet Exchange Services.

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