Jobs · Information Technology · Texas

Data Analyst

Buxton · Fort Worth, TX · Today
HybridInformation TechnologyFull-time

Responsibilities

  • Support a cross-functional team in the development of predictive models to aid in real estate and marketing decisions for retail, restaurant, and healthcare clients.
  • Analyze consumer data, including frequency, valuation, expenditure habits, and other patterns of behavior.
  • Analyze site location data, including trends identified by site characteristics, site types, key performance indicators, and any other qualitative findings.
  • Standardize data for analysis and perform data verification to ensure accuracy and completeness of client data received.
  • Build and customize dynamic reports and dashboards.
  • Work on ad hoc analyses and custom analytic solutions.
  • Communicate project scope, progress, and findings within your internal team and directly with clients.
  • Engage directly with clients to deliver analytic solutions, provide client support of their solutions, and work with their key stakeholders, real estate teams, and marketing teams to help them solve problems within their organizations.
  • Collaborate with cross-functional team to identify growth opportunities for existing client accounts.

Requirements

  • A Bachelor's Degree in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics, or a related field.
  • A Master’s degree is a plus.
  • Outstanding analytical skills, familiarity with statistical concepts, and ability to solve complex problems.
  • An innovative, positive, and self-directed attitude.
  • Interested in finding solutions to problems.
  • Excellent oral and written communication skills.
  • The ability to operate effectively in a client-facing, multi-agency/vendor environment.
  • The ability to develop and maintain relationships with clients and to deliver excellent customer service.
  • Experience working with Python or R.
  • Proficiency in Excel, Word, and PowerPoint.
  • Time management skills and ability to complete work on a deadline.
  • Experience in Quantitative Analytics is a plus.
  • Experience with SQL or equivalent academic experience is a plus.
  • Experience with Tableau is a plus.

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