Manager, Loyalty Analytics (Hybrid)

The Manager, Loyalty Analytics, delivers actionable insights that strengthen Belk’s credit card loyalty program and customer experience. This role oversees centralized loyalty data, builds automated performance reporting, and develops ad hoc analyses that inform customer behavior and program trends. The manager partners with cross functional teams and third party credit card providers to enhance program success and efficiency while optimizing store credit goals and unlocking opportunities to grow loyalty program value.

Essential Functions:

Oversee aggregation, centralization, and federation of all loyalty and credit program data to ensure accuracy, consistency, and accessibility across the organization.

Develop and implement recurring, automated reporting on key loyalty, credit, and customer performance metrics to support business visibility and decision‑making.

Lead execution, measurement, and continuous improvement of store credit goals, partnering with store operations to drive performance outcomes.

Partner with Finance to provide insights, inputs, and modeling support for P&L forecasts, budget updates, and long‑range planning.

Connect customer insights with loyalty data to identify trends, behavioral patterns, and opportunities to enhance engagement and program value.

Identify and implement process improvements, automation opportunities, and technology enhancements that strengthen loyalty operations, reporting efficiency, and cross‑functional workflows.

Build and maintain complex financial models and prepare clear, compelling presentations that communicate insights and drive inter‑departmental collaboration.

Deliver ad hoc analyses to answer business questions related to loyalty program performance, customer behavior, and financial impact.

Education:

• Bachelors degree in Finance, Business, or Analytics preferred

Work Experience:

• Finance or loyalty analytics experience with a proven track record of career growth required

Knowledge, Skills & Abilities:

• Highly proficient in Microsoft Office (specifically Excel and PowerPoint).
• Ability to use query tools and databases (Hyperion Essbase a plus).
• Demonstrated ability to design and implement process improvements.
• Strong analytical, communication, and problem-solving skills.
• Ability to build complex financial and performance models.
• Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment
• Willingness to learn and embrace change.
• Strong Storyteller with the ability to organize and visualize data to answer questions and identify opportunities.
• Creative, results-oriented, and embraces change with urgency.

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Pay Range

$115,000-124,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.