Note: The job is a remote job and is open to candidates in USA. Megaport is hiring a Commercial Analytics Leader to connect commercial leadership with data, analytics, and data-science capabilities. The role owns commercial analytics strategy, reporting governance, data reliability, and executive decision support, while advancing revenue optimization, AI-powered intelligence, and self-service analytics.
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
Skills
- 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
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.
Company Overview
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