Manager of Reporting and Analytics (Retail)

Position Overview

Location Type: [Not Specified] Employment Type: Full Time Salary: [Not Specified]

We are a lean, nimble, and highly adaptive team that works seamlessly and transparently with our Brands in order for them to take the spotlight. We focus our efforts and talents to drive best practices, capture new opportunities, and accelerate performance across our portfolio of brands. Joining the a.k.a. Brands team means rolling up your sleeves, digging into challenges, creating and implementing new strategies, and not being limited to the confines of a job title or job description. We all play on the same team and value the insights and contributions that every member of our team makes daily.

We are looking for a Manager of Reporting and Analytics with strong Tableau expertise to drive data-driven decision-making in our retail operations. This role will oversee sales, inventory, customer behavior, and operational performance analytics, ensuring actionable insights are delivered to key stakeholders. The ideal candidate will lead a team of analysts, enhance reporting efficiency, and collaborate across departments to optimize business performance.

Requirements

• Bachelor’s or Master’s degree in Data Science, Business Analytics, Retail Management, Computer Science, or a related field.
• 3+ years of experience in retail analytics, business intelligence.

Responsibilities

Leadership & Strategy:

• Develop and execute a Retail-focused reporting and analytics strategy aligned with business objectives.
• Partner with Merchandising, Finance, Supply Chain, and Marketing teams to define key performance metrics.
• Drive improvements in data visualization and analytics efficiency across the organization.

Retail Analytics & Reporting:

• Design, develop, and maintain Tableau dashboards to track:
  • Sales performance (by store, region, product, channel, etc.).
  • Customer insights (shopping behavior, demographics, loyalty programs).
  • Inventory management (stock levels, sell-through rates, markdowns, etc.).
  • Operational efficiency (store performance, staffing, and supply chain analytics).
• Automate and streamline reporting processes to improve decision-making speed.
• Ensure data accuracy, consistency, and reliability in all reports and dashboards.

Data Analysis & Business Intelligence:

• Conduct deep-dive analysis on customer purchasing patterns, pricing strategies, and market trends.
• Use predictive analytics to forecast sales, demand, and inventory needs.
• Work with large and complex datasets, extracting meaningful insights to drive revenue growth.
• Identify opportunities for revenue optimization, margin improvement, and customer retention.

Collaboration & Stakeholder Management:

• Work closely with cross-functional teams including Merchandising, Marketing, finance, and store operations to meet reporting needs.
• Translate business requirements into technical Tableau solutions for various retail functions.
• Train business users on self-service reporting and Tableau best practices.