Analyst II, Retail Analytics

Pilot Company•Knoxville, TN

16h•Onsite

About The Position

Perform analysis of retail and restaurant data, utilizing intermediate data mining techniques and visualizations to uncover insights that drive business growth. Develop reports and dynamic dashboards that highlight performance and provide recommendations to business partners. Ensure data accuracy, integrity, and compliance with company policies, and contribute to identifying potential opportunities for operational improvements and business strategies. Provide performance evaluations of promotions, changes in assortment and space, competitive position, experiments, and limited time offers. Offer detailed and actionable insights to support data-driven decision-making. Develop and automate advanced reports and dashboards using tools like Tableau and statistical scripting languages to monitor and track business KPIs and initiatives. Conduct exploratory data analysis (EDA) and perform intermediate-level research to uncover trends, patterns, and actionable insights that support data-driven decision-making and help identify business growth opportunities. Apply data mining techniques to analyze large datasets, extract insights, and contribute to the development of predictive models for forecasting future business outcomes and market trends. Collaborate with Category Management teams to develop strategies based on business performance and insights. Run scenarios to model financial impact. Actively participate in team discussions and problem-solving. Ensure all analyses, reports, and dashboards adhere to company policies, maintaining data accuracy, integrity, and security while complying with all relevant regulations. Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level. Ensure all activities are in compliance with rules, regulations, policies, and procedures. Complete other duties as assigned.

Requirements

Bachelor's or Associate degree in mathematics, economics, computer science, finance or STEM fields required
Intermediate Microsoft Office skills required
Intermediate skills in SQL required
Intermediate skills in Tableau
Excellent written and verbal communication skills
Ability to prioritize, execute tasks and meet deadlines
Attention to detail and follow-up skills
Problem solving and critical thinking skills
Ability to take initiative, work independently and as part of a team
Ability to handle sensitive and confidential information ethically and responsibly

Nice To Haves

Master’s degree in business analytics or STEM field preferred
Minimum 3 years' experience in data analytics or related industries preferred
Intermediate skills in R or Python preferred

Responsibilities

Perform analysis of retail and restaurant data, utilizing intermediate data mining techniques and visualizations to uncover insights that drive business growth.
Develop reports and dynamic dashboards that highlight performance and provide recommendations to business partners.
Ensure data accuracy, integrity, and compliance with company policies, and contribute to identifying potential opportunities for operational improvements and business strategies.
Provide performance evaluations of promotions, changes in assortment and space, competitive position, experiments, and limited time offers.
Offer detailed and actionable insights to support data-driven decision-making.
Develop and automate advanced reports and dashboards using tools like Tableau and statistical scripting languages to monitor and track business KPIs and initiatives.
Conduct exploratory data analysis (EDA) and perform intermediate-level research to uncover trends, patterns, and actionable insights that support data-driven decision-making and help identify business growth opportunities.
Apply data mining techniques to analyze large datasets, extract insights, and contribute to the development of predictive models for forecasting future business outcomes and market trends.
Collaborate with Category Management teams to develop strategies based on business performance and insights.
Run scenarios to model financial impact.
Actively participate in team discussions and problem-solving.
Ensure all analyses, reports, and dashboards adhere to company policies, maintaining data accuracy, integrity, and security while complying with all relevant regulations.
Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level.
Ensure all activities are in compliance with rules, regulations, policies, and procedures.
Complete other duties as assigned.