Senior Pricing Analyst
CommonSail Investment Group
1. Location: Brighton, Michigan
2. Seeking Pricing and Revenue experience within Healthcare
Position Summary
The Pricing Analyst plays a critical role in developing and executing dynamic pricing strategies to optimize occupancy, revenue, and profitability across our senior living communities. This role supports all pricing functions including rent, levels of care (LOC), supplemental fees, market analysis, data reporting, and the development of future pricing infrastructure. The Pricing Analyst will work closely with Sales, Operations, and Finance teams to ensure pricing reflects market dynamics, community needs, investor expectations, and resident value.
Key Responsibilities & Accountabilities
Dynamic Pricing Strategy
Design, manage, and continuously refine a responsive, performance-driven pricing model across multiple community types:
3. Pricing Categories: Rent, Wellness (LOC), Supplemental Fees
4. Community Types: Stabilized, Focus communities, New builds, Acquisitions
5. Wellness Pricing (LOC: Levels of Care): Monitor rate appropriateness, profitability, renewals, ATB increases, and performance tracking
6. Fee Structures: Tiered pricing based on brand positioning and willingness to pay; includes respite rates and supplemental services
7. Market-Based Tier Pricing: Maintain accurate and current rate positioning per community type and product level
Renewals & Rate Management
8. Execute the strategy for annual and anniversary rate increases
9. Align pricing updates with acquisitions and legacy portfolio requirements
10. Drive process development, documentation, and cadence for rate renewals
Concessions, Deals & Discounts
11. Develop and manage strategic concession frameworks in Salesforce, based on: Market demand Property performance Investor expectations
12. Monitor, track, and forecast: Discounts Concessions Guardrails
13. Tools: Salesforce for tracking and strategic implementation
14. Support training for Sales and Operations teams to apply discount strategies appropriately
Sales Collaboration & Training
15. Monthly Sales Leader Reviews: Analyze top and bottom performers Evaluate discount usage, revenue performance, and pricing opportunities
16. Sales Training Support: Equip teams with data and training around: Service positioning Competitive differentiation between Enhanced Living (EL), Assisted Living (AL), and Memory Care (MC) Fee transparency and value alignment
Data Analytics & Reporting Infrastructure
Drive automation and accuracy in pricing-related data and reporting through cross-functional data systems:
17. Platform Integration: Excel & Power BI: Lead design of dynamic dashboards and automated reporting processes Identify key reporting needs Define “source of truth” for each report Eliminate manual and duplicative reporting processes Salesforce: Leverage data for: At-Risk forecasting Occupancy projections Concession/discount usage Digitized lease data Yardi: Integration with: CCPC, PCC, and AlayaCare for billing and real-time reporting into Power BI Engrain: Monitor unit-level vacancy trends NIC Maps, ESRI: Utilize for market intelligence and demographic mapping PCC: Interface with care and clinical systems for LOC pricing validation RevPors: Maintain accurate rate files including premiums, acquisition pricing, and wellness tiers
Competitive Grid & Market Intelligence
18. Current Process: Partner with Sales Leaders and internal teams for biannual comp grid updates
19. Future-State Development: Build a proactive market monitoring process Embed comp data into property plans and pricing adjustments Assign ownership (e.g., Tim/Dept.) for ongoing updates
20. Align comp grids with: Community profiles Acquisition pricing models Future market shifts
CCPC Collaboration (Future State)
21. Partner with CCPC on SPG community pricing models and margin optimization
22. Collaborate on: Tier structures Market-based pricing Margin tracking and validation
Qualifications
Required:
23. Bachelor's degree in Finance, Economics, Business Analytics, or related field
24. 3–5 years of experience in pricing, data analytics, or revenue management
25. High proficiency in Excel and BI tools (e.g., Power BI, Tableau)
26. Experience with CRM/ERP tools (e.g., Salesforce, Yardi)
27. Strong analytical skills and ability to synthesize large data sets into actionable insights
Preferred:
28. Experience in senior housing, healthcare, or hospitality
29. Understanding of wellness/care pricing models
30. Familiarity with systems like Engrain, NIC Maps, AlayaCare, or PCC
Key Competencies
31. Analytical and Strategic Thinking
32. Cross-Functional Collaboration
33. Data Automation and Visualization
34. Market Research and Forecasting
35. Strong Communication and Business Acumen
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