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Ecommerce Data Analyst - Freelance, Remote

Magic, Inc
Worldwide$7–7Remote1mo ago
Employment
Full-time

About the role

The Impact you’ll make

  • Build SKU-level demand forecasts using trends, marketing spend, and seasonality.
  • Recommend safety stock levels and reorder points to prevent stockouts and overstocks.
  • Reconcile sell-through vs. on-hand and inbound to improve inventory turns.
  • Analyze carrier performance, delivery speed, and shipping cost per order to identify savings.
  • Monitor 3PL SLAs, lead times, receiving delays, and pick/pack accuracy.
  • Surface root causes for late deliveries and propose corrective actions.
  • Create automated dashboards in Looker/Tableau/Power BI for real-time visibility (orders, OTD, cost-to-serve, inventory health).
  • Write and maintain SQL queries to unify Shopify, Amazon, and 3PL data.
  • Build ad hoc analyses for promotions, product launches, and seasonality.
  • Align stock plans with Growth/Marketing calendars and budgets.
  • Provide scenario analyses (e.g., promo lift, channel mix shifts, inbound delays).
  • Translate technical insights into clear recommendations for non-technical stakeholders.
  • Validate data accuracy across sources; document assumptions, definitions, and logic.
  • Standardize KPIs (e.g., MAPE, OTIF, CPP, inventory turns) and reporting cadence.

Skills, Knowledge and Expertise

  • Hands-on experience working with ecommerce or operations data (inventory, 3PL, shipping).
  • Proficient in SQL (joins, window functions, CTEs) for analysis and reporting.
  • Built production dashboards in Looker, Tableau, or Power BI.
  • Familiarity with Shopify and/or Amazon Seller Central data and reporting.
  • Demonstrated ability to analyze logistics performance and drive cost/time improvements.
  • Technical: SQL; dashboarding (Looker/Tableau/Power BI); advanced Excel/Google Sheets; exposure to Python or R for forecasting; comfort working with Shopify, Amazon, and 3PL data; understanding of forecasting methods (seasonality, trend, promo uplift); KPI design (MAPE, OTIF, CPP, lead time, inventory turns).
  • Soft skills: Clear data storytelling, business acumen, curiosity, attention to detail, proactive problem-solving, and the ability to partner across Growth and Operations.
  • Computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up.
  • Internet speed of at least 40MBPS
  • Headset with an extended mic that has noise cancellation and a webcam
  • Back-up computer and internet connection
  • Quiet, dedicated workspace at home
  • You love turning messy operational data into simple, actionable decisions.
  • You’re energized by fast-paced DTC environments and enjoy collaborating across teams.
  • You care about the end customer experience and want to shorten delivery times without increasing cost.
  • You take ownership, iterate quickly, and continuously improve processes.
  • Work-from-home setup: Reliable internet, quiet workspace, and professional calling environment required
  • Working hours: Full-time, Central Timezone
  • Compensation: $7/hour
  • Remote position
  • Must have a reliable internet connection and a quiet workspace
  • Required to provide own computer with Intel Core i5 or something similar or higher operating system
  • 40 hours per week
  • Central Timezone
  • $7 per hour
  • No benefits package included

Benefits

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