[Hiring] Data Analyst @Scale Media

Role Description

We are looking for a mid-level Data Analyst who is far more than a report builder. You are a "Data Detective" who understands the heartbeat of our business operations and marketing efforts.

Because our Analytics team operates as a highly collaborative internal service department, you will act as a critical partner to three distinct functions: our Supply Chain, Customer Service, and Brand Marketing teams. You will not just analyze data; you will own the truth behind our Inventory, CS performance, and Brand Strategy. We need a versatile Data Master who understands the nuances of ERP platforms (Odoo) for inventory, ticketing platforms for CS, and the strategic planning required to support a marketing-driven Brand team.

What You’ll Do

• Inventory & Supply Chain Analytics
  • Predictive Forecasting: Build and maintain models to predict inventory depletion rates and recommend optimal times to place additional Purchase Orders (POs) across our brand portfolio.
  • Platform Mastery: Ingest, clean, and analyze complex datasets from our ERP (Odoo) to provide granular insights on stock levels, lead times, and fulfillment efficiency.
  • Supply Chain Support: Track and report on core inventory management metrics, empowering the operations team to prevent stockouts, reduce overstock, and optimize cash flow.
• Brand Strategy & Marketing Analytics
  • Promotion & Targeting Analysis: Partner with the Brand Marketing team to analyze the ROI of promotions, targeted campaigns, and overall brand initiatives. Help the team understand what messaging, look, and feel is resonating with our customers.
  • New Product Launches: Support the strategy and planning phases of new product launches by providing historical data analysis, forecasting initial demand, and tracking early performance metrics.
  • Strategic Planning: Empower the brand team with actionable data for audience segmentation, market positioning, and long-term marketing strategy.
• Customer Service Analytics
  • CS Performance Tracking: Analyze data from our Customer Service platforms (e.g., Zendesk, Gorgias) to track contact rates, ticket resolution times, and customer satisfaction (CSAT) scores.
  • Operational Optimization: Identify friction points in the customer experience by connecting CS ticket data with fulfillment and inventory metrics, acting as the lead investigator for service-level drops.
• Data Transformation & Visualization
  • Data Preparation: While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data prep. You will use KNIME or dbt (or similar tools like Alteryx, Tableau Prep, or Python/Pandas) to clean, merge, and format data for specific analyses.
  • Business Logic Application: Write efficient SQL to transform raw log-level data in Snowflake into usable datasets that reflect our specific business rules.
  • Dashboarding: Design, build, and maintain high-impact dashboards in Sigma. You will translate complex SQL queries into visual stories tailored for specific stakeholders in Brand, CS, and Inventory.

Qualifications

• 3+ years of specific Data Analysis experience.
• Proven experience in DTC E-commerce is required.
• Strong proficiency with Snowflake (SQL) and Sigma.
• Competency in KNIME or dbt is preferred.
• Awareness of how ELT tools function.

Requirements

• You are deeply versed in the ecommerce data schemas and Customer Service ticketing platforms.
• You have experience supporting marketing or brand teams with performance analytics.
• You have hands-on experience conducting inventory forecasting and supply chain metric tracking.
• You are comfortable bouncing between supply chain metrics and marketing metrics.
• You have the patience and precision to trace a product's lifecycle from the warehouse to the customer.

Benefits

• Salary: $80,000 - $100,000
• Medical, Dental, Vision, and Life Insurance
• Fully remote, full-time position
• Monthly work-from-home stipend
• Generous paid time off program
• Discounted products
• An amazing team to work alongside