Staff Data Analyst

Guitar Center • Westlake Village, CA

3h

About The Position

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 sizes opportunities, frames ambiguous questions, designs credible measurement, and influences leaders to act. It combines commercial judgment, financial acumen, advanced analytical skills, and the ability to help organizations use data effectively.

The preferred candidate lives within commuting distance of Westlake Village, California, and can work onsite Tuesday through Thursday each week. Remote candidates may be considered from California, Indiana, Missouri, and Utah.

The position partners with Merchandising leaders on decisions involving pricing, assortment, allocation, promotions, inventory, vendors, and visual merchandising. It translates commercial questions into analytical plans, guides experimentation and causal measurement, and turns findings into clear recommendations. The analyst also partners with Data Engineering, BI, analytics management, and other senior analysts to define data needs, operationalize durable solutions, and establish documented standards for experimentation and causal inference.

Requirements

• At least 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, and ability to connect findings to P&L, margin, inventory, and customer outcomes.
• Strong SQL and Python skills, along with the judgment to use AI-assisted development effectively, review and debug AI-generated code, and critically validate 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; experience with 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.

Nice To Haves

• Direct retail experience is a plus.
• Experience in retail and/or the music industry is preferred.
• A curious self-starter who is 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.

Responsibilities

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed