Statistical Data Analyst

  • Dillard's
  • Little Rock, AR, USA
  • 06/03/2019
Full time Information Technology

Job Description

Job Description

We’re looking for an innovative, creative, data & technical expert for an entry to mid level Data Science role.  This role reports into the Manager of Advanced Analytics and Strategic Testing who leads a team of highly motivated Statistical Data Analysts and Data Scientists.  This role provides experience and training that can ultimately lead to promotion to Data Scientist. This is a great opportunity to work with a truly exceptional team in this exciting and ever growing field to shape and create the best shopping and brand experience for Dillard’s customers.

What you’ll do

  • Work with Marketing, Merchandising, and Operations areas to analyze current business trends, problems, and strategies to help provide actionable insights for the business including but not limited to visualizations, predictive/statistical models and business process supportive machine learning processes
  • Identify and source data needed to build analytic datasets in support of analysis and modeling activities
  • Utilize Machine Learning to detect trends and develop models that will deliver direct business solutions
  • Define metrics that will be used to measure and understand existing and new business processes
  • Work directly with multiple levels of management to present results and recommendations based on analysis


  • Authorization to work in the United States without sponsorship
  • Ability to work onsite at Corporate Headquarters in Little Rock, AR
  • Bachelor’s degree or its equivalent in Management Information Systems, Statistical Analysis, Applied Mathematics, or related field of study
  • 2-5 years of experience working with analytic software (e.g., Python, R, SPSS Modeler, Teradata Warehouse Miner) and performing data modeling, data mining, and exploratory data analysis (e.g., linear/logistic regression, ARIMA, Cluster Analysis) - applicable master level coursework and degree can be considered for up to 1 year of experience requirement.
  • Strong personal drive and motivation; entrepreneurial and excellent at time management.
  • General to advanced SQL knowledge.
  • Excellent communication, organization and presentation skills.
  • Ability to adapt and manage multiple responsibilities in a fast paced Agile work environment.
  • A self-starter who is able to work both independently and as part of a team.
  • Comfortable interacting professionally with a diverse group, executives, managers, statistical data analysts, subject matter experts, and end users.
  • Ability to identify opportunities for improvement and lead change

Preferred Skills

  • Masters degree or higher in Management Information Systems, Statistical Analysis, Applied Mathematics, or related field of study
  • Advanced SQL
  • Strong command of statistical scripting/programming languages (R, Python, etc.)
  • Tableau experience
  • Cognos experience
  • Strong understanding of Retail Business processes and Digital Marketing
  • Experience presenting to small and large groups of people