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Revenue and Marketing Analyst

Position Summary

 

We are seeking a highly analytical and detail-oriented Revenue & Marketing Analyst to support pricing strategy, competitive intelligence, and marketing performance across a multifamily portfolio. This role sits at the intersection of Revenue Management, Marketing, and Leasing Operations, playing a critical role in analyzing market trends, optimizing pricing strategies, and improving marketing effectiveness.

The ideal candidate is both data-driven and operationally strong, with the ability to translate complex data into actionable insights.

 

Essential Duties and Responsibilities:

Market Intelligence & Competitive Analysis

  • Collect and analyze feedback from leasing teams and sales leadership regarding competitor activity 
  • Monitor trends in pricing, concessions, availability, and leasing strategies across competing properties 
  • Develop and maintain detailed competitor reports using real-time market data 
  • Track changes in the competitive landscape and identify risks and opportunities 
  • Review and validate competitors identified during tours 

Revenue & Pricing Analytics

  • Analyze internal and external data to evaluate appropriate rental pricing by unit type 
  • Support pricing strategy by synthesizing:  
    • Market conditions 
    • Internal financial performance 
    • Make-ready, rehab, and marketing costs 
  • Monitor performance of pricing decisions against budget and occupancy goals 
  • Maintain detailed building- and unit-level datasets to support forecasting and future strategy 
  • Support renewal pricing, unit availability reporting, and SKU model updates 
  • Update velocity projections and audit key reports (cost of sales, lease start dates, expirations, etc.) 

Data Management & Reporting

  • Manage and maintain data integrity within HelloData and internal systems 
  • Ensure consistency across market surveys, pricing data, and reporting platforms 
  • Create and distribute recurring reports on: 
    • Market trends 
    • Competitor positioning 
    • Pricing insights 
  • Build dashboards and summaries for leadership decision-making 


 

 

Marketing Analytics & Performance

  • Monitor marketing performance, lead generation, and ROI across the portfolio 
  • Analyze campaign effectiveness and recommend optimizations 
  • Track performance across ILS platforms (Apartments.com, Zillow, Google, etc.) 
  • Support digital campaign performance across search, display, and social channels 
  • Provide recommendations to improve marketing efficiency and leasing conversion 

Website & Digital Optimization

  • Monitor website performance, SEO rankings, and organic traffic 
  • Ensure online listing optimization across platforms such as Apartments.com, Zillow and Google.
  • Manage content updates and coordinate improvements with vendors 
  • Support digital content strategy and performance tracking

Cross-Functional Collaboration

  • Partner with Revenue, Marketing, and Sales teams to align insights with strategy 
  • Provide data-driven recommendations to improve leasing performance 
  • Support automation initiatives including lead nurturing and segmentation 

 

 Job Requirements and Qualifications

Education and Experience:

  • Bachelor’s degree in marketing, Business, Finance, Economics, or related field 
  • Experience in analytics, revenue management, or data analysis 
  • Strong analytical and problem-solving skills 
  • Advanced Excel skills (pivot tables, lookups, data analysis) 
  • Experience with data visualization tools (Tableau, Power BI, or similar) 
  • Ability to translate data into actionable business insights

Preferred

  • Experience in multifamily, real estate, or property management 
  • Familiarity with revenue management tools and pricing strategies 
  • Experience with CRM/PMS systems and marketing platforms 
  • Knowledge of SEO, digital marketing metrics, and lead tracking

Competencies:

 

Analytical thinking

Business Acumen

Detail oriented

Data analysis

Cross-functional Collaboration

Communication and Storytelling with data