Commercial Analytics Leader

About Megaport
We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.
 
Our Team Culture
We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.
 
We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.

What You'll Be Doing
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. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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. 7. 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. 8. 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.

What We Are Looking For
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.

What We Offer
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.

If you have any questions, please reach out to Megaport's Talent Acquisition Team at Careers@megaport.com
 
NOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team careers@megaport.com directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under "@megaportau.com".
 
All applications will be treated in confidence.
Please see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies.