Sr. Learning & Development Analyst

Requisition ID 2023-13678
Job Function
Human Resources/People
Position Type
Experienced Professionals
Posting Location : Location


The Lead Analyst’s primary role is to identify and communicate insights for Learning & Development through the blending, transformation, and critical evaluation of data through descriptive, diagnostic, and select predictive methods relying on Chick-fil-A’s established analytics tooling stack. This role is expected to provide analytical support for multiple Learning & Development teams 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 Lead Analyst may receive occasional guidance from Principal analytics talent to produce insights and make recommendations to senior leaders that inform departmental strategy.

The Lead Analyst must have strong technology and data analysis skills, a solid understanding of database technology and data use within analytic platforms, and strong programming skills with SQL and/or Python. This individual needs to be a fast learner with a keen eye for detail, systems thinking, and process design. In addition, this individual must be a highly relational collaborator (given the cross-disciplinary nature) and culture builder.


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.


  • Serves as a key contributor, strategic partner, and trusted advisor on the Learning & Development Analytics team to ensure clarity of focus, competitive sourcing of talent, and alignment with the broader learning organization and Chick-fil-A.
  • Serves on the cross-functional Analytics Agile Team, along with representatives from the Learning & Development Analytics team and DTT (Digital Transformation and Technology).
  • Represents Learning & Development in the broader People & Planning Analytics Community of Practice.
  • Persuasively recommends insights-informed action to leaders and peers across multiple business areas.
  • Serves as the business steward for a number of Learning & Development data assets.
  • Works comfortably with large and complex datasets that span multiple areas of the organization and understands how to blend and model data effectively.
  • 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 while coaching others to do the same, including Tableau, Alteryx, ThoughtSpot, 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.

Minimum Qualifications

  • 4 years relevant work experience
  • Bachelor's Degree in Business, Statistics, Analytics or Mathematics related fields
  • Proficient with Tableau or similar data visualization tools
  • Comfort with Alteryx or similar ETL platforms
  • Strong SQL programming skills
  • Familiarity with cloud data storage and compute concepts, particularly AWS S3 and Redshift
  • 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

Preferred Qualifications

• Master’s Degree in Business, Statistics, Analytics or Mathematics related fields
• Familiarity with ThoughtSpot Business Intelligence solution
• General awareness of a breadth of cloud compute concepts and capabilities
• Strong understanding of data governance principles and procedures
• Strong statistical programming skills in R or Python
• Experience with Agile/Scrum/KanBan methodologies

Minimum Years of Experience


Travel Requirements


Required Level of Education

Bachelor's Degree

Preferred Level of Education

Masters Degree


Business, Statistics, Analytics or Mathematics related fields

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