Commercial Analytics Leader

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.

• 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.

• 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.