Staff Data Analyst

Guitar Center is seeking a Staff Data Analyst to serve as the senior analytics partner to Merchandising and adjacent commercial teams. The role identifies and prioritizes business opportunities, designs rigorous measurement and analysis, and turns findings into recommendations that guide decisions and durable data solutions.

Responsibilities:

• Merchandising partnership: Partner with Merchandising leaders to guide decisions across pricing, assortment, allocation, promotions, inventory, vendors, and visual merchandising
• Opportunity prioritization: Identify, size, and sequence high-value revenue, margin, inventory, and customer opportunities with Merchandising leaders and analytics management
• Analytical leadership: Translate ambiguous commercial questions into analytical and measurement plans; conduct rigorous analysis and develop proof-of-concept analyses when useful
• Solution direction: Define needed data and capabilities, then partner with Data Engineering, BI, and other Sr. Analysts to operationalize durable solutions
• Experimentation and causal measurement: Guide hypothesis design, comparison groups, and interpretation, accounting for seasonality, selection bias, halo, and cannibalization effects
• Influence and enablement: Turn complex findings into clear recommendations and build Merchandising fluency in using data and BI to diagnose performance, test ideas, and act confidently
• Methods and team partnership: Partner with analytics management to define and document Guitar Center's policies and standards for experimentation and causal inference

Requirements:

• 8+ years of professional experience in data analytics, or similar roles with Staff-level scope or equivalent senior individual contributor leadership in recent years
• Experience partnering with leaders to identify and size opportunities, shape priorities, and improve decisions
• Deep fluency in retail, eCommerce, merchandising, inventory, pricing, promotions, customer, or finance analytics, with the ability to connect findings to P&L, margin, inventory, and customer outcomes
• Strong skills in SQL and Python
• Your analytical coding fluency is paired with the judgment to use AI-assisted development effectively, review and debug AI-generated code, and critically validate the resulting analytical logic and outputs
• Strong experimental design and causal inference judgment, including comparison-group selection, incrementality, uncertainty, and halo and cannibalization effects
• Strong BI and data visualization fluency for exploration, prototyping, and decision-focused storytelling, with experience in modern BI platforms such as Omni, Looker, Tableau, or Power BI
• Excellent communication skills, including the ability to turn complex analysis into concise narratives for senior leaders and non-technical partners
• Staff-level influence and ownership, demonstrated by establishing practical methods, sharing expertise, and building trust across business, analytics, BI, Data Engineering, and Data Science partners
• Direct Retail experience a plus
• Experience in retail and/or the music industry preferred
• A curious self-starter, eager to push boundaries, ask the right questions, and follow data wherever it leads
• Experience working in a dynamic environment where decisions have a tangible impact