Head of Data & Analytics

Employment Status: Full-Time, Benefits Eligible

Location: On-Site at NEW Gymreapers’ HQ in Nampa, ID (20 mins outside of Boise, ID)

Schedule: Monday - Friday, 8AM - 5PM (flex according to business needs)

Reports To: CEO

Position Overview

We are seeking a Head of Data & Analytics to build and lead our data function. We have laid a foundation and are now looking to accelerate the growth and development across the board.

This role is responsible for transforming data into a competitive advantage across revenue, operations, and decision-making. You will own our data infrastructure, reporting systems, and analytical insights—while partnering closely with leadership across ecommerce, marketing, and operations.

This is a highly strategic and hands-on role with direct impact on company performance.

About Gymreapers

At Gymreapers, we make gear with a purpose and focus on material integrity. You get high-quality lifting gear that’s made to outlast cheap look-a-likes.

We’re reengineering people’s workouts and improving the support needed to lift better, longer, and stronger. Improve performance, relieve pain, and add stability to your workout program with premium lifting belts, knee sleeves, wrist wraps, and more.

With our mantra, "NOTHING IS GIVEN," we embody a relentless pursuit of excellence, innovation, and community-building.

Our Core Values

• Grow or Die
• Customer Obsession
• Extreme Ownership
• Nothing is Given // Everything is Earned
• Be Humble
• 1% Better Everyday
• Live with Integrity
• Sacrifice
  
  

Key Responsibilities

• Decision Intelligence System (The Operating Brain)
  
  

Own the architecture of how decisions are made at Gymreapers.

• Build a centralized decision system beyond static dashboards
• Define and standardize:
• North star metrics
• Channel-level KPIs
• Contribution margin frameworks
• Transform WBR into a diagnostic and action-oriented system:
• What happened
• Why it happened
• What actions should be taken
• Implement real-time alerting systems:
• Revenue fluctuations
• CAC spikes
• Inventory risks
• Revenue Intelligence
  
  
Drive growth through analytics, experimentation, and attribution clarity.

• Own full-funnel analytics:
• Traffic → Conversion → AOV → LTV
• Build and scale testing infrastructure:
• PDP optimization (Amazon Shopify)
• Offer testing frameworks
• Pricing elasticity analysis
• Develop attribution models across:
• Paid media (Meta, TikTok)
• Amazon halo and blended ROAS
• Identify:
• High-performing SKUs
• Channel profitability
• Customer cohort performance
• Operational Intelligence
  
  
Drive efficiency and margin through data-driven operations.

• Build inventory forecasting models:
• Demand planning by SKU and channel
• Seasonality and promotional impact
• Optimize:
• In-stock rates
• Inventory turns
• Cash allocation tied to inventory
• Create SKU-level contribution margin models:
• Landed cost
• Fulfillment cost
• Marketing allocation
• Analyze and improve:
• 3PL and warehouse performance
• Shipping and logistics costs
• Packaging and cost structure decisions
• Data Infrastructure & Architecture
  
  
Build a scalable and reliable data foundation.

• Own and Grow:
• Data warehouse (Snowflake, BigQuery, or similar)
• ETL pipelines (Fivetran, Airbyte, or custom)
• Data modeling layer (dbt or equivalent)
• Integrate:
• New Systems and Optimizations
• Ensure:
• Data accuracy and validation layers
• Timely and reliable reporting
• Replace fragmented spreadsheet-based reporting with automated systems
• AI & Automation
  

Embed AI into core business workflows.B. Decision AutomationC. AI-Enhanced WorkflowsD. Internal AI Tools

• Predictive Systems
• Demand forecasting across SKUs and channels
• Customer lifetime value modeling
• Retention and churn prediction
• Automated inventory reorder recommendations
• Budget allocation models across marketing channels
• Dynamic pricing and promotion triggers
• Marketing:
• Creative performance analysis
• Iteration insights
• Customer:
• Segmentation and personalization
• Operations:
• Anomaly detection across inventory and logistics
• Develop or integrate tools enabling:
• Natural language data querying
• Instant insight generation for teams
• Example use cases:
• Root cause analysis of performance changes
• Automated reporting summaries
• Data Productization
  
Turn data into internal tools used across the organization.

• Build systems and dashboards used by:
• Ecommerce
• Operations
• Marketing
• Leadership
• Enable self-serve analytics across teams
• Standardize reporting and metric definitions across departments
• Team Building & Leadership
  

Build and lead the data and AI function.

• Hire and manage:
• Data Engineers
• Analytics Engineers
• BI Analysts
• Define org structure and hiring roadmap
• Establish:
• Data governance standards
• Documentation practices
• Scalable workflows
  

Qualifications

• 7–12 years in data, analytics, or business intelligence roles
• Experience in ecommerce or consumer brands ($20M–$200M range preferred)
• Strong SQL skills and experience working with modern data stacks
• Proven ability to turn data into business impact—not just reporting
• Experience working cross-functionally on initiatives
• Experience building or scaling a data function
  
  

Benefits/Perks

• Competitive Pay
• Company paid holidays
• Paid Time Off (PTO)
• Gymreapers on-site gym!
• Newly renovated HQ!
• 401(k) with up to a 4% employer match
• Life Flight Program, Voluntary
• Employee Assistance Program
• 50% Employee Discount
• 100% Employer Paid: Medical, Dental and Vision
• 100% Employer Paid: Short-term and Long-term disability - life insurance for both employee and spouse/dependents
• Health Savings Account (HSA) employee option
  
  

Gymreapers LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national or ethnic origin, disability, as well as any other characteristic protected by federal, provincial, or local law.

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