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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in commercial analytics and revenue operations, with a strong focus on translating complex data into actionable insights and executive-level recommendations. Proficient in establishing data governance and scalable reporting architectures to enhance decision-making across multiple stakeholders.
Highest-signal resume keywords
Commercial Analytics StrategySQL ProficiencyPower BI ExpertiseB2B Revenue OperationsData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisData ModelingPredictive ModelingForecast ManagementMetric DefinitionsAnalytical FrameworksBusiness IntelligenceRevenue AnalyticsChange ManagementAnalytical Literacy
Soft Skills
Executive CommunicationStakeholder ManagementStructured Problem-SolvingChange Leadership
Tools & Technologies
SalesforcePower BISQLPythonR
Industry Keywords
Revenue OperationsCRM DataSales CompensationCustomer Lifecycle MetricsCross-SellAccount ExpansionForecast VarianceSales ProductivityData QualitySelf-Service Analytics
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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