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Revenue Analyst

McKinley Companies, Ann Arbor, Michigan, us, 48113

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McKinley is seeking a Revenue Analyst to join our Innovation organization and own rent pricing strategy and execution across a growing multifamily portfolio. This role blends data-driven pricing decisions, revenue optimization analytics, and scalable system design to maximize gross potential rent (GPR) growth while protecting occupancy and leasing velocity.

The Revenue Analyst serves as the central owner of pricing intelligence and rent optimization execution, partnering closely with Asset Management, Operations, Sales, and Renewals leadership to ensure pricing strategies are disciplined, scalable, and aligned with portfolio financial objectives.

Title: Revenue Analyst

Division: Innovation Location: Ann Arbor, MI (In-Person) Compensation: $60,000-$80,000 annually plus bonus potential

What You’ll Do

Drive sustained gross potential rent (GPR) growth while balancing occupancy and leasing velocity

Enable leadership to make informed revenue decisions through clear analytics, scenarios, and recommendations

Reduce manual and ad-hoc pricing decisions through clear pricing logic and thoughtful automation

Establish and evolve a repeatable, system-driven rent pricing framework that scales with portfolio growth

Own rent pricing recommendations for new leases across the portfolio

Analyze market rents, competitive comps, leasing velocity, occupancy, concessions, and unit-level performance

Identify pricing inefficiencies, revenue leakage, and optimization opportunities by unit type, floor plan, and submarket

Partner with Operations and Sales to ensure pricing strategies are executable and aligned with on-site realities

Design and maintain a standardized, scalable rent-setting methodology across communities

Build tools, rules, and workflows that enable consistent pricing execution with minimal manual intervention

Define pricing governance, guardrails, and escalation paths to support disciplined decision-making

Continuously refine pricing logic as portfolio scale, market conditions, and operating environments evolve

Support integration and optimization of pricing systems, PMS platforms, BI tools, and market data sources

Analytics & Insights

Design and maintain dashboards and models tracking rent growth, occupancy, pricing effectiveness, and elasticity

Conduct cohort and trend analysis to evaluate the long-term impact of pricing decisions

Forecast rent growth outcomes under varying pricing and market scenarios

Quantify ROI of pricing changes, concessions strategies, and revenue initiatives

Translate complex data into clear, actionable recommendations for leadership

Build strong cross-functional partnerships with Sales, Renewals, Marketing, Operations, Technology, and Asset Management teams

Engage proactively with field teams to understand frontline challenges and co-design practical solutions

Align pricing strategy with execution and customer experience in close collaboration with Operations and Sales

Serve as a trusted pricing advisor, balancing analytical rigor with operational practicality

Embody McKinley’s values and support a culture of data-driven decision-making and continuous improvement

Qualifications Required

3–6+ years of experience in revenue analytics, pricing, FP&A, revenue management, or a related analytical role

Demonstrated experience making pricing or revenue optimization decisions

Advanced Excel or Google Sheets skills; experience with BI tools preferred

Experience building repeatable processes, models, or systems that scale effectively

Ability to translate data into clear business recommendations

Highly organized, autonomous, and proactive, with strong prioritization skills

Preferred

Experience with revenue management systems, PMS platforms, or market rent data providers

Background in pricing strategy, yield management, or demand modeling

Experience supporting portfolio growth or scaling operations

Working Conditions

Quiet, professional office environment

Position is in-person at McKinley’s Corporate Office in Ann Arbor, Michigan

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