Retail Data Analytics Lead

Req ID: 99569

BASIC PURPOSE: The Retail Data Analytics Lead uses analytics techniques (descriptive and predictive) along with data visualization principles to present key business insights and drive decisions through multiple medium and long-term projects. This position must leverage personal knowledgebase and become a subject matter expert with regards to analytics and all of Love’s current analytic systems.

MAJOR RESPONSIBILITIES:

• Oversee the analytic project pipeline for Love’s Merchandise
• Responsible for delivering impactful information to the Merchandising team such as monthly sales predictions, price performance measurements
• Manage the development of data models using statistical tools by working with large structured and unstructured datasets
• Determine meaningful data trends, relationships between variables and formulate predictive insights
• Utilize Tableau to create interactive web-based dashboards to inform senior leadership of progress towards organizational goals
• Implement business objectives by working collaboratively with project teams, end users and other stakeholders
• Build effective working relationships with Love’s internal subject matter experts, such as a Divisional Merchandising Manager
• Build long-term strategies and policies powered by data science in collaboration with Category Managers, Operations and IT
• Lead system integration projects as it pertains to analytics
• Develop and interpret technical documentation for training and end user procedures
• Support any existing and future reporting or analytical needs
• Supervise retail data analytics professionals
• Other duties assigned as needed

EDUCATION AND EXPERIENCE:

• Education and Experience:
  • Bachelor’s degree in Mathematics, Statistics, Economics, Marketing, or Engineering required and 6 years using data and technology or
  • Master’s in Management Information System with a focus on data, analytics & business domain knowledge required and 1 year of experience using data and technology
• Certifications
  • Industry standard certifications in statistical analysis tools such as SAS, Python or R are required

SKILLS AND PHYSICAL DEMANDS:

• Skills:
  • Hard Skills: Knowledge of analytics techniques including descriptive and predictive
  • Soft Skills: Excellent written and oral communication skills to present key business insights
• Typical Physical Demands:
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.
  • Requires normal range of hearing and vision.

Job Function(s): Operations; Other

Clean Places, Friendly Faces. It's been the guiding principle at Love's for more than 50 years, and it's leading us into the future. We're passionate about serving drivers with clean, modern facilities stocked with plenty of fuel, food and supplies. Love's has two primary kinds of stores. Our 'Country Stores' are fueling stations with a convenience store attached. The larger 'Travel Stops' are located on interstate highways and offer additional amenities such as food from popular restaurant chains, trucking supplies, showers and more.