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Data and BI Lead

Data Engineer Full-time US Eastern Time Zone

Job details

Not specified Salary
US Eastern Time Zone Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead business intelligence strategy and data infrastructure for e-commerce operations, combining hands-on architecture work with team and project leadership. The role focuses on turning reliable, connected data into clear commercial and operational decisions.

Responsibilities - Design and optimize cloud data warehouses and ETL/ELT pipelines that bring together commerce, customer, and operational data. - Build and maintain BI dashboards and data models for executives and cross-functional teams. - Create audit processes that support accurate financial reporting, revenue models, and business metrics. - Work with sales, marketing, fulfillment, and client strategy teams to identify growth opportunities and explain findings. - Mentor analysts, review code, and coordinate analytics projects and practices. - Set data governance, access, compliance, and confidentiality controls.

Requirements - A bachelor’s or master’s degree in a quantitative or related field, with at least five years of BI or analytics experience and two years leading teams or projects. - Advanced SQL and practical data warehousing experience with BigQuery or Snowflake. - Proficiency in Python or R for scripting, automation, analysis, and API-based data ingestion. - Ability to communicate complex findings clearly to executive and nontechnical audiences. - Business and financial acumen, including experience checking financial and e-commerce metrics. - Strong cross-functional communication and comfort combining strategic planning with hands-on delivery.

Nice to have - Familiarity with e-commerce and marketing platforms such as Shopify, Klaviyo, or Google Analytics. - Experience with Tableau, Looker, or Power BI.

Benefits and work setup - Hybrid work in Cincinnati, Ohio, or remote work in the US Eastern Time Zone. - Health, dental, vision, and life insurance; unlimited paid time off; and a 401(k) with employer match. - Professional development opportunities in a collaborative, fast-paced e-commerce environment.

Skills detected in the listing

PythonSQLSnowflakePower BITableauLookerData WarehousingData EngineeringBusiness IntelligenceStakeholder Management
Detected Nov 12, 2026
Last verified Nov 12, 2026

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