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Job Description The Director, Growth Analytics is a strategic leader who transforms sales data into actionable decisions. This role owns the design, delivery, and governance of analytics, reporting, and forecasting that drive revenue growth. They will measure and improve time-to-sale, seller performance, and pipeline health, while standardizing how the organization plans, inspects, and acts on commercial performance across all business lines and regions. This role will be based in Philadelphia, PA and required to be in the office a minimum of 3 days per week. Limited travel required.
Job Responsibility:
Build a robust sales analytics framework to quantify growth drivers, conversion levers, retention risks, and market dynamics
Develop standardized definitions and formulas for core KPIs
Conduct cohort, funnel, and attribution analyses to surface actionable insights
Partner with Sales Enablement to translate insights into programs and measure program impact over time
Design and run the end-to-end forecasting process
Implement forecast models
Drive forecast accuracy discipline
Create a pipeline inspection framework covering coverage, quality, velocity, and aging
Publish seller and team scorecards
Identify stuck deals, risk signals, and coachable moments
Establish governance for CRM and sales data
Implement automated data quality checks
Own the analytics stack for Sales
Evaluate and implement enhancements
Ensure data complies with privacy, security, and regulatory requirements
Maintain appropriate access controls and audit trails for sensitive sales and customer information
Requirements:
Bachelors Degree in Data Science, Finance, Business Administration or related field
10+ years in Sales Analytics/Revenue Operations/Commercial Finance within national or multiregion organizations
Proven leadership of forecasting processes and executive reporting
strong stakeholder management across Sales, Finance, and Marketing
Expertise in Salesforce CRM data structures and sales processes (lead → opportunity → close
stage definitions
hygiene)
Advanced proficiency with Power BI, Microsoft Excel or other data and visualization tools
Ability to translate analysis into recommendations and drive cross-functional action
Proven ability to lead without authority and influence others
Nice to have:
Experience with incentive compensation analytics and territory/capacity planning
Familiarity with machinelearning techniques for scoring and forecast refinement
Experience or working knowledge of SQL, and one scripting language for data wrangling and model prototyping
Background in pricing analytics or offer profitability
Prior people leadership of multidisciplinary analytics teams