Commercial Analytics Leader

🕒 October 20

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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👻 Ghost score 14%

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Megaport

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📡 Telecommunications

Networking • Cloud Computing • Telecommunications

Megaport is a leading provider of global private connectivity solutions that enable simplified network interconnection. The company offers a platform for deploying secure, scalable, and agile networks that interconnect data centers, clouds, and virtual points of presence. Megaport's services allow users to create secure and dynamic network connections on-demand, without hardware or long-term contracts, offering flexibility and speed to businesses. By partnering with global service providers, data center operators, and systems integrators, Megaport ensures robust and widespread network access across 930+ locations in 25 countries. Its smart software tools and APIs allow for easy network management, making it a trusted choice for cloud networking and hybrid cloud solutions.

📋 Description

• 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 progression from descriptive performance reporting to diagnostic, predictive, and prescriptive AI-enabled decision intelligence • Own commercial architecture and governance of RevOps performance reporting, including metric definitions, calculation rules, analytical views, reporting standards, and management cadences • Build a reporting framework based in Salesforce, collaborating with Power BI, billing and finance systems, marketing systems, and other commercial data tools • Reduce duplicated calculations, conflicting reports, spreadsheet dependencies, and legacy dashboards through standardized analytical assets • Partner with RevTech, Data Engineering, Data Science, Finance, and source-system owners to validate analytical logic and resolve data quality issues • Establish standards for data freshness, reconciliation, completeness, lineage, calculation validation, change management, and issue escalation • Translate complex data and analytical outputs into concise narratives, 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 commercial decisions • Analyze new-logo acquisition, pipeline conversion, account expansion, cross-sell, renewals, channel partnerships, and other revenue motions • Identify drivers of attainment, forecast variance, sales productivity, deal velocity, customer growth, and revenue leakage • Partner with RevTech and Data Science to enable governed commercial metrics for approved AI tools and analytical agents • Develop governed self-service analytics and embed insights into commercial workflows • Establish standards for metric interpretation, analytical literacy, documentation, access, training, and responsible use • Coordinate cross-functional delivery and continuously improve the speed, consistency, reliability, accessibility, and business impact of commercial intelligence

🎯 Requirements

• 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 supporting 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 • ‘Legend’ and ‘Kudos’ Awards • Health and wellness program • Opportunities for career growth • Potential for global intra-company transfers for interested candidates

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