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# Head of Business Intelligence / eCommerce

- **Company:** Kelly Services Inc.
- **Location:** West Hollywood, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, BigQuery, Cloud Database, Data Visualization, Data Warehousing, Executive Information Systems, Python (Programming Language), Power BI, Shopify, SQL Databases, Tableau (Software), Snowflake, Amazon Marketplace, Data Strategy, Pandas, Scikit Learn, Looker Analytics, Amazon Redshift
- **Published:** August 5, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3341870436&tx=JT989TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 7+ years of experience in Business Intelligence, Analytics, Data Strategy, or related quantitative roles
 * Strong expertise in SQL and modern BI platforms such as Looker, Tableau, or Power BI
 * Experience working with cloud data warehouses including Snowflake, BigQuery, or Redshift
 * Hands on experience with e-commerce and marketplace analytics across Amazon, Shopify, and digital marketing channels
 * Experience building executive dashboards, KPI frameworks, and scalable reporting systems
 * Strong understanding of forecasting, profitability analysis, and operational reporting
 * Excellent communication skills with the ability to present insights to executive leadership
 * Experience working cross-functionally with Finance, Marketing, and Operations teams

Desired Skills & Experience

 * Experience within beauty, CPG, e-commerce, or digitally native consumer brands
 * Familiarity with Amazon Seller Central/Vendor Central analytics and TikTok Shop reporting
 * Experience supporting retail analytics, POS reporting, and sell-through analysis
 * Python experience including pandas, scikit learn, or statistical modeling libraries
 * Experience building or scaling a BI or analytics team
 * Strong understanding of marketing attribution, LTV/CAC analysis, and demand planning
 * Passion for beauty, cosmetics, and consumer products

## Description

* Build executive dashboards and self-service reporting tools for key stakeholders
 * Partner with Marketing to optimize customer acquisition, retention, and media performance
 * Collaborate with Finance on forecasting, budgeting, and profitability reporting
 * Develop inventory and demand planning analytics to support DTC and retail expansion
 * Establish data governance standards and reporting best practices
 * Translate complex datasets into actionable strategic insights
 * Support retail launch initiatives through assortment analytics and sales forecasting

Tech Breakdown

 * 10% SQL & Data Warehousing (Snowflake, BigQuery, Redshift)
 * 40% BI & Visualization Tools (Looker, Tableau, Power BI)
 * 10% Python & Advanced Analytics
 * 40% Marketing, Financial, and Operational Analytics


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