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Director, Analytics

Denver, CO

The Data Analytics Director will work with their team to establish success metrics, determine the current baseline, and track metrics during pilot and scaling. They are able to support the team with ad-hoc analyses of research data to support decision making within the team. This team member will also oversee and coach Data Analysts. The Data Analytics Director has four major focus areas on their team:
• Analytical Problem Solver: Analyze data to track baseline and pilot impact along with ad-hoc analyses as needed
• Stakeholder Coordinator: Coordinates with data stakeholders to gather the data required for analysis
• Engaged Communicator: Communicates analysis results in terms of business insights and leverages them for team decisions
• People Leader: Provides structure, coaching, and professional development to junior team members

Ideal candidates will be excited to learn new techniques for understanding and improving the resident experience while leveraging their experience to measure and track the impact of the team.


  • Determine team data needs and works with technology / data stakeholders to gather required data
  • Design pilot measurement plans and works with technology teams to ensure data flows are established
  • Analyze operational and survey data to determine journey metric baselines and impact
  • Present synthesized insights and impact analysis to the journey team and relevant leaders within the business
  • Synthesize existing data for team ideation and prioritization sessions and leverage with team in solution design
  • Partners with operations leaders to communicate the insights and recommendations based on data
  • Contribute to building measurement and analytics expertise, tools, and processes in-house to enable high-quality analytics across the data team members
  • Supervises and manages data analysts on other customer experience teams including interviewing, hiring, training, developing and managing their performance

Knowledge, Skills, Abilities:

  • Academic background in a quantitative field (e.g., Analytics, Applied Mathematics, Economics, Statistics)
  • Proficient in data manipulation including the programming skills required to manage large data sets
  • Experience understanding, processing, analyzing, visualizing, and communicating complex data sets
  • Experience with visualization tools, such as PowerBI
  • Experience or interest in Machine Learning methods (e.g., classification, prediction, regression)
  • Experience designing statistically valid experiments to test and prove hypotheses
  • Experience or interest in Agile product development, design thinking


Depending on the position offered, regular full-time and part-time team members may be eligible to participate in a bonus program in addition to their base salary.  Once eligible,  team members may participate in the 401k plan.  Regular, full-time team members are also offered a  range of medical, financial, and/or other benefits from which to choose.

Greystar will consider for employment qualified applicants with arrest and conviction records.

Benefits provided

 Health Insurance

 401k Match

 401k Retirement Plan

 Dental Insurance

 Short Term Disability

 Long Term Disability

 Personal Days

 Internal Training Programs

 Optical Insurance

 Bonus Programs

 Life Insurance

 Paid Vacations

 Intern Programs

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