Commercial Analytics Leader (AI)

Location: Remote in Washington or California, United States

Company

hirify.global offers a full-time permanent role within Sales – Global Sales and Revenue Operations.

What you will do

• Define and own the commercial analytics strategy, roadmap, operating standards, and portfolio of analytical capabilities across brands, products, regions, and commercial motions.
• Own RevOps performance-reporting architecture and governance, including metric definitions, calculation rules, analytical views, reporting standards, and management cadences.
• Build a Salesforce-based reporting framework integrated with Power BI, billing and finance systems, marketing systems, and other commercial data sources.
• Partner with RevTech, Data Engineering, Data Science, Finance, and source-system owners to validate analytical logic, reconcile discrepancies, resolve data-quality issues, and improve data lineage and reliability.
• Translate commercial data into executive narratives, recommendations, and actions supporting business reviews, forecasting, strategic planning, sales performance, revenue optimization, and customer growth.
• Develop governed AI-powered and self-service analytics with safeguards for approved data, metric definitions, access, interpretation, documentation, training, and responsible use.

Requirements

• 5+ years of progressive experience in commercial analytics, revenue analytics, business intelligence, statistical analysis, 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 or forecasting.
• Experience partnering with Data Engineering and Data Science to validate data pipelines, analytical models, business rules, and model outputs.
• 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.

Culture & Benefits

• Flexible working environments and remote work.
• Birthday leave, health and wellness support, and 5 days of paid study leave.
• Generous study and training allowance.
• Creative, contemporary workspaces and a team of industry experts and new talent.
• Recognition through Legend and Kudos Awards.
• Career growth opportunities and potential global intra-company transfers.

Hiring process

• Candidates who meet the selection criteria will be invited to an interview.
• Applications are treated confidentially; recruitment agencies are not accepted.