Sr. Insights Analyst, Supply Chain Analytics

How We Work At Chick-fil-A

Overview

The Sr. Insights Analyst is a professional track role whose primary role is to identify and communicate insights for an assigned scope of business through the transformation, visualization, and critical evaluation of data through descriptive, diagnostic, and select predictive methods relying on CFA’s established analytics tooling stack. This role will be expected to provide analytical support for multiple related projects or workstreams across Supply Chain functions, including those with dependencies on other departments. It will require acting as a Subject Matter Expert in a broad suite of standard data, methods, and tools, including complex features. The Sr. Insights Analyst may receive occasional guidance from Analytics Program Leads and Data Scientists to produce insights and make recommendations to senior leaders that inform departmental strategy.

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. 

Responsibilities

The person who fills this role will be expected to do the following as a part of their regular work responsibilities:

• Demonstrates in-depth knowledge of Supply Chain and industry best practices and understands interaction of domain with the broader business, strong knowledge of Chick-fil-A’s business and restaurant industry, including use and calculation of relevant Key Performance Indicators (KPIs) and benchmarks
• Develops and recommends insights-informed action to leaders and peers across multiple business areas
• Works comfortably with large and complex datasets that span multiple areas of the organization, and understands how to blend and model data effectively; likely serves as business steward for a number of potentially sensitive domain-specific data assets
• Solves complex analytics problems requiring synthesis of diverse inputs from internal and external sources through the application of a comprehensive suite of descriptive and diagnostic methods and select predictive methods, with minimal oversight
• Confidently leverages a broad suite of standard analytics tooling that may require unique or complex integrations across systems, including Tableau, Databricks, and AWS services
• Acts as subject matter expert for standard data usage patterns, analytics tooling and analytic methods and procedures while coaching others within the analytics community to do the same

Required Qualifications (Knowledge, Skills, & Abilities)

•    Proficient with Tableau or similar data visualization tools•    Strong SQL programming skills•    Familiarity with cloud data storage and compute concepts•    Strong applied knowledge of basic statistical concepts and data best practices•    Demonstrated ability to produce scalable and repeatable analytic processes•    Demonstrated ability to partner with peers and leaders using strong written and verbal communication•    Fast learner with a desire to gain new and improve existing analytic skills•    Comfort and ability to ask questions and seek assistance when necessary

Preferred Qualifications (Knowledge, Skills, & Abilities)

•    General awareness of a breadth of cloud compute concepts and capabilities, particularly Databricks and AWS•    Strong understanding of data governance principles and procedures•    Programming skills in R or Python

Required Years of Experience

Preferred Years of Experience

Travel Requirements

Required Level of Education

Preferred Level of Education

Major/Concentration

Preferred Major/Concentration