Head of Data & Analytics

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

1. 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

2. 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

3. 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 rate