Manager, Analytics

a.k.a. Brands • San Francisco, CA

1d • $135,000 - $155,000 • Hybrid

About The Position

a.k.a. Brands is seeking a Manager, Analytics to join its growing Data & Analytics team. The role uses data to uncover insights that inform strategy and decision-making across a portfolio of fashion brands. The manager partners with Merchandising, Planning, Marketing, Finance, and Operations to analyze performance across digital and retail channels.

The ideal candidate combines technical skills with business acumen and an interest in retail and fashion. This role calls for a self-starter who can solve complex problems, optimize performance, and turn data into clear, actionable insights with measurable business impact. It is a hybrid role based in the Bay Area, California, with 2–3 days onsite.

Requirements

• Bachelor’s degree in Data Analytics, Business, Economics, Statistics, or a related field.
• 4–7+ years of experience in data or business analytics.
• Strong proficiency in SQL and Excel or Google Sheets.
• Proficiency in at least one BI tool; Tableau is strongly preferred.
• Deep understanding of retail and eCommerce performance metrics, including sales, conversion, inventory, margin, and customer segmentation.
• Excellent storytelling and communication skills, with the ability to distill data into clear insights and influence decisions.
• Detail-oriented, with strong problem-solving skills and the ability to work independently in a fast-paced environment.

Nice To Haves

• Experience in retail, fashion, or consumer goods analytics.
• Experience with omnichannel data from platforms such as Shopify, NetSuite, or similar systems.

Responsibilities

• Analyze sales, inventory, pricing, and customer performance across DTC and retail channels to identify trends and opportunities.
• Partner cross-functionally to deliver insights that support forecasting, planning, and strategic decision-making.
• Lead analyses of brand, channel, and customer behavior to identify growth and efficiency opportunities.
• Collaborate with data engineering to develop metrics, data streams, and data structures that improve data access and reporting.
• Work with data engineering to improve data quality, streamline pipelines, and build scalable data models.
• Develop and maintain dashboards, visualizations, and reports using Tableau or a similar tool to track key business metrics.
• Ensure data accuracy, consistency, and governance across analytics and reporting systems.
• Translate complex findings into concise, business-friendly presentations and recommendations for stakeholders.
• Support continuous improvement of analytical frameworks, metrics, and processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager