Data Analyst, Marketing

Who We Are
We're America's largest mortgage lender, closing loans in all 50 states. J.D. Power ranked Quicken Loans "Highest in Customer Satisfaction in Primary Mortgage Origination" for the past nine consecutive years, 2010 - 2018. The company was also ranked highest in the nation for client satisfaction among mortgage servicers by J.D. Power for five consecutive years, 2014 through 2018, each year the company was eligible. There's a simple reason we've been so successful: We care about the people we work with.

If you're tired of stuffy, bureaucratic workplaces, then you'll be delighted to find something different here. We strive to make a creative, fun and collaborative environment you simply won't find anywhere else. Quicken Loans was named #1 in ESSENCE Magazine's first ever list of "Best Places to Work for African Americans" in 2015. We've been on Computerworld's "Best Places to Work in IT" list for 13 years running, hitting #1 the last five years. We were also ranked #14 in FORTUNE Magazine's list of "100 Best Companies to Work For" in 2018, remaining in the top-30 for the past 15 years.

Job Summary
The Data Analyst is a highly trained individual who specializes in organizing and analyzing data from various resources with the purpose of turning numbers into information to influence decision making. The Data Analyst uses a range of tools and methodologies, including statistics and technical expertise, to generate results that highlight useful insights and expose areas of opportunity. Data Analysts are naturally curious, have a strong sense of urgency and focus on how their analyses impact our business results. This team member is dedicated specifically to the Marketing business area.


  • Drive analytical decision making on a wide range of initiatives
  • Field and prioritize strategic requests from senior leaders to help everyone involved better understand the impact of key business decisions, make projections and enhance our mortgage-related processes
  • Analyze data with standard statistical methods, interpret results, and provide written and verbal summaries of data analyses
  • Effectively summarize and simplify analysis results that are to be shared with teammates and business partners through a wide variety of mediums
  • Work closely with our business intelligence peers, including Business Analysts, Engineers, Data Scientists and Modelers, to ensure we're creating a holistic analytical approach that solves for analytics needed, technical solutions and models to transform a business initiative
  • Work as an extension of business partners to consult with and communicate needs back to our Technology team

  • Bachelor's degree or higher preferred in economics, mathematics, applied statistics, computer science or finance or equivalent experience
  • 1 year of applied experience working with complex data sets
  • Basic understanding of SQL or other querying languages used to create data sets
  • Advanced Excel skills
  • Great accuracy and a talent for identifying and resolving data issues
  • Demonstrated experience visualizing and presenting data (e.g., Tableau, PowerBI, etc.)
  • Comfort with a high learning curve regarding software platforms and new analytical concepts
  • Ability to ramp up quickly to understand the business and industry
  • Experience creating strategic actionable takeaways, providing solutions and exposing areas of opportunity
  • Capacity for being responsible for data within the organization to reach conclusions and drive solutions and/or recommendations
  • Comfort presenting in front of a large group when necessary
  • Self-starter with a strong sense of career ownership who seeks out opportunity for further growth and development
  • Strong project management and prioritization skills
  • Ability to work in fast-paced environment where flexibility is key and directions can change frequently
  • Extremely high level of attention to detail and outstanding organizational skills

What'll Make You Special
  • Experience with web analytics tools such as Adobe Analytics Suite and Google Analytics
  • Experience with customer relationship management software as a service, such as Salesforce Marketing Cloud
  • Basic statistical software program knowledge, including R and Python

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