Revenue Operations Data Analyst
As a Revenue Operations Data Analyst at InnovAge, you will own and scale our analytics capability across sales, marketing, and enrollment operations. This role is responsible for building and maintaining our Microsoft Power BI ecosystem, including the underlying data models that power executive reporting and frontline decision-making. You will serve as the primary owner of sales performance analytics and incentive compensation, managing monthly commission calculations while identifying opportunities to improve plan design and drive better outcomes.
This role goes beyond reporting. You will act as a strategic partner to Revenue Operations leadership, proactively generating insights, diagnosing performance gaps, and recommending actions that improve conversion, productivity, and growth across the PACE enrollment funnel.
Essential Functions and Work Responsibilities
- Microsoft Power BI & Data Model Ownership
- Own the design, development, and maintenance of Microsoft Power BI dashboards and reporting infrastructure
- Build and optimize scalable data models, ensuring accuracy, performance, and usability
- Own KPI definitions and ensure consistent metric calculation across all reporting and dashboards
- Identify gaps in current reporting and proactively develop new dashboards to support business needs
- Partner with BI and engineering teams to define and improve upstream data pipelines and data availability
- Validate and reconcile data across CRM, marketing, and operational systems to ensure reporting accuracy
- Sales & Marketing Analytics
- Deliver actionable insights on pipeline health, conversion rates, and channel performance
- Analyze performance across the PACE funnel (Lead → Intake → HSD → Enrollment → Start of Care)
- Perform ongoing data validation and QA to ensure accuracy and reliability of reporting outputs
- Identify trends and drivers of performance across markets, teams, and campaigns
- Support A/B testing and performance measurement across marketing and sales initiatives
- Provide recurring and ad hoc executive-ready reporting
- Incentive Compensation Ownership
- Own end-to-end execution of monthly sales incentive compensation plans
- Calculate, validate, and deliver accurate commission payouts for ~100 sales team members
- Identify risks, anomalies, and edge cases in payout calculations and proactively resolve discrepancies
- Partner with Finance and Payroll to ensure timely and compliant payments
- Analyze plan effectiveness and recommend improvements to drive desired behaviors
- Model and simulate proposed compensation changes and business impact
- Additional Responsibilities
- Develop and deliver clear, impactful presentations to communicate strategic plans and objectives
- Extract and analyze data from internal databases to support operational needs
- Support additional high-impact analytics and strategic initiatives as business needs evolve
Qualifications
Required
- Education
- Bachelor's degree from an accredited college/university
Work Experience and Qualifications
- 3–5+ years of experience in data analytics, business intelligence, or revenue operations
- Demonstrated ownership of dashboards or analytics environments used for business-critical decision-making
- Advanced expertise in Microsoft Power BI (data modeling, DAX, performance optimization)
- Advanced proficiency in Microsoft Excel (modeling, pivot tables, complex formulas)
- Experience managing or supporting sales incentive compensation programs
- Strong ability to translate data into actionable business insights
- Experience working with large, complex datasets across multiple systems
Preferred
Education
- Bachelor's degree from an accredited college/university (MBA is a plus)
- Preferred majors: hard sciences, mathematics, engineering, data science, finance, business, entrepreneurship, or any discipline requiring high technical aptitude
Work Experience and Qualifications
- Experience with Microsoft Dynamics 365, Salesforce or similar CRM platforms
- Experience in healthcare, PACE, or regulated environments
- Experience working with Microsoft Power BI data pipelines / ETL tools
- Background in revenue operations, sales operations, or marketing analytics
- Certifications (Preferred):
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or equivalent experience
- Microsoft Certified: Azure Data Fundamentals (DP-900) or related data/analytics certifications
Other Knowledge Skills and Abilities Required
Technical & Systems Skills
- Advanced proficiency in Microsoft Power BI, including data modeling, DAX, and performance optimization
- Advanced Microsoft Excel skills (complex formulas, pivot tables, data modeling, large dataset manipulation)
- Experience working with Microsoft Dynamics CRM or similar platforms to extract, validate, and analyze data
- Familiarity with data pipelines, data transformations, and maintaining data integrity across systems
Analytical & Financial Skills
- Strong analytical foundation with the ability to translate complex datasets into actionable insights
- Experience analyzing performance across a full revenue funnel (Lead → Intake → HSD → Enrollment → Start of Care)
- Ability to apply statistical concepts, trend analysis, and forecasting to support business decisions
- Experience supporting or managing sales incentive compensation calculations and analysis
Communication & Influence
- Strong written and verbal communication skills, with the ability to present complex data in a clear and compelling way
- Ability to translate technical findings into actionable recommendations for both frontline teams and executive leadership
- Proven ability to collaborate cross-functionally and influence decision-making
Problem Solving & Reasoning
- Demonstrated ability to define ambiguous problems, structure analyses, and deliver clear recommendations
- Strong critical thinking skills with a focus on identifying root causes and driving measurable improvements
Execution & Ownership
- High attention to detail with strong ownership over data accuracy and output quality
- Ability to manage multiple priorities and deliver high-quality work under tight deadlines
- Self-starter with a proactive mindset and a continuous improvement orientation
