Senior Manager, Data & Analytics

Posted Yesterday
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Frederick, MD, USA
In-Office
Senior level
Music • Retail
The Role
Leads a multifunctional data and analytics team supporting a business unit. Partners with senior leaders to define priorities, manage the analytics roadmap, deliver insights, improve reporting and data quality, and build scalable data capabilities. Responsibilities include team development, business analysis, KPI improvement, stakeholder communication, project delivery, and collaboration with enterprise data engineering teams. Requires advanced SQL, BI platform experience, strong analytical and communication skills, and at least eight years of relevant experience.
Summary Generated by Built In
Job Summary & Responsibilities

Overview

We are looking for a Senior Manager, Data & Analytics to lead a dedicated, multi-functional data team supporting a distinct business unit within a larger enterprise.

This leader will be the primary Data partner to senior business leadership, helping turn data into better decisions across commercial, financial, operational, and customer priorities. The role combines business partnership, team leadership, analytics, and delivery ownership while connecting the business unit to broader enterprise Data capabilities.

This role offers direct ownership of Data for a key business unit, including leadership of the team, its priorities, and its impact. Success means building a stronger Data capability that contributes to customer value and business performance.

Key Responsibilities

  • Lead the Data partnership: Partner with senior business leaders to understand objectives, identify opportunities, set expectations, and translate business needs into a clear Data and Analytics agenda.
  • Lead and develop the team: Manage and coach a multi-functional team spanning analytics, BI/reporting, and broader data work. Build team capability, clear ownership, and consistent execution.
  • Own priorities and delivery: Manage the team's roadmap and portfolio, prioritize based on business impact, coordinate dependencies, and communicate progress, risks, and tradeoffs clearly.
  • Drive insight and action: Translate ambiguous business questions into analysis, metrics, and recommendations. Identify trends, risks, and opportunities across financial, customer, commercial, and operational performance.
  • Build scalable capabilities: Improve reporting, KPIs, data quality, and recurring analytical processes. Partner with enterprise Data teams to build durable solutions using shared platforms, tools, and standards.
  • Improve data fluency: Help leaders use data more effectively, test assumptions with evidence, and turn complex findings into clear decisions and actions.
Preferred Qualifications

What We're Looking For

  • 8+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field, including experience managing and developing people.
  • Experience leading data professionals, setting priorities, creating clear accountability, and supporting strong team performance.
  • Strong business acumen and experience partnering with senior leaders on financial, operational, customer, or commercial decisions.
  • Strong analytical problem-solving skills, including the ability to take ambiguous questions from initial framing through recommendation and implementation.
  • Advanced SQL skills and experience with modern BI and visualization platforms such as Omni, Looker, or similar tools.
  • Technical fluency across data quality, transformation, reporting, and analytical solutions, with the ability to work effectively with Data Engineering and other technical teams.
  • Experience using emerging AI tools to improve analytical or technical work, with appropriate review and validation of outputs.
  • Strong communication and project-management skills, including the ability to manage competing priorities and make tradeoffs clear.
  • A track record of ownership, curiosity, and reliable follow-through, with a practical approach to solving problems and improving how the business uses data.

Preferred Qualifications

  • Experience leading a team spanning multiple Data disciplines.
  • Experience in CPG, retail, ecommerce, subscription services, or another data-rich consumer business.
  • Experience supporting a business unit within a broader enterprise Data organization.
  • Familiarity with modern cloud data platforms and tools such as Snowflake, dbt, and Python.
  • Bachelor's degree in a quantitative, technical, business, or related discipline, or equivalent practical experience.

Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job‐ related requirements.

If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by calling 1‐818-735-8800 ext. 2862 or by sending an email to [email protected].

Skills Required

  • 8+ years of experience in data analytics, business intelligence, data science, or a related field
  • Experience managing and developing people
  • Experience leading data professionals and establishing priorities, accountability, and team performance
  • Strong business acumen and experience partnering with senior leaders on financial, operational, customer, or commercial decisions
  • Strong analytical problem-solving skills, including taking ambiguous questions through recommendation and implementation
  • Advanced SQL skills
  • Experience with modern BI and visualization platforms such as Omni, Looker, or similar tools
  • Technical fluency in data quality, transformation, reporting, and analytical solutions
  • Ability to collaborate effectively with data engineering and other technical teams
  • Experience using emerging AI tools to improve analytical or technical work, with review and validation of outputs
  • Strong communication and project-management skills
  • Experience leading a team spanning multiple data disciplines
  • Experience in CPG, retail, ecommerce, subscription services, or another data-rich consumer business
  • Experience supporting a business unit within a broader enterprise data organization
  • Familiarity with Snowflake, dbt, and Python
  • Bachelor's degree in a quantitative, technical, business, or related discipline, or equivalent practical experience

Guitar Center, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guitar Center, Inc. and has not been reviewed or approved by Guitar Center, Inc..

  • Wellbeing & Lifestyle Benefits — The package highlights free Talkspace access, tuition reimbursement, DailyPay, and a generous gear discount, with musician‑friendly programs such as Gig Leave. These lifestyle‑oriented offerings can meaningfully enhance the experience for employees who value music‑centric perks.
  • Leave & Time Off Breadth — Paid time off, paid holidays, and Gig Leave are explicitly promoted across postings. These options provide schedule flexibility for eligible associates to pursue performances and personal time.
  • Retirement Support — A 401(k) with company match is part of the standard offering. This adds a structured pathway for long‑term savings.

Guitar Center, Inc. Insights

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The Company
HQ: Westlake Village, CA
10,000 Employees
Year Founded: 1964

What We Do

Guitar Center is an American musical instrument retailer chain that sells guitars, amplifiers, drums, keyboards, recording equipment, and accessories. It operates numerous locations across the United States and online.

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