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Data and BI Lead

Job not on LinkedIn

🔥 12 hours ago

🏈 Ohio – Remote

infoinfo

⏰ Full Time

🟠 Senior

Where this job comes from

Posted on FYUL's careers page, not through a job board

First seen by Remote Rocketship 12 hours ago

Still open on FYUL's site. Checked 40 minutes ago.

Logo of FYUL

FYUL

1001 - 5000 employees

🛍️ eCommerce

🏭 Manufacturing

🤝 B2B

eCommerce • Manufacturing • B2B

FYUL is the combined company formed from the merger of Printful and Printify. It operates as an on-demand merchandise engine and technology platform that enables independent creators and large brands to design, produce, and sell custom merchandise worldwide. FYUL provides on-demand manufacturing and end-to-end merchandise solutions (through its house of brands including Snow Commerce), powering eCommerce merchandise fulfillment and brand merchandise experiences for businesses of all sizes.

📋 Description

• Lead the Business Intelligence vision and data infrastructure • Design, optimize, and maintain cloud data warehouses using BigQuery and Snowflake • Build and maintain ETL/ELT pipelines unifying e-commerce, CRM, and operational datasets • Plan, deliver, and maintain BI dashboards and visual models using Tableau, Looker, and Power BI • Establish audit protocols for financial reporting, revenue modeling, and commercial KPIs • Partner with Sales, Marketing, Fulfillment, and Client Strategy to derive predictive insights and identify growth opportunities • Provide mentorship, conduct code reviews, and manage analytics projects • Oversee data governance, access controls, compliance, and confidentiality protocols • Translate complex metrics into actionable executive insights • Report directly to the Head of Enterprise Experiences

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Business Analytics, Finance or a related quantitative field • 5+ years of progressive data analytics/BI experience • 2+ years leading projects or teams • Experience with Shopify, Klaviyo, Google Analytics, and similar sales and behavior channels preferred • Expert-level SQL capability • Hands-on experience structuring, modeling, and optimizing enterprise data in BigQuery or Snowflake • Proficiency in Python or R • Experience with data pipeline scripting, automation, statistical modeling, and third-party API data ingestion • Ability to synthesize complex quantitative data into clear executive summaries • Strong business acumen and experience auditing financial data and e-commerce metrics • Exceptional verbal and written communication skills • Resume submitted in English

🏖️ Benefits

• Competitive pay and benefits • Health insurance • Dental insurance • Vision insurance • Life insurance • Unlimited PTO • 401k with company match • Personal and professional development opportunities • Energetic, collaborative work environment in Over-the-Rhine • Fast-paced eCommerce retail environment with opportunities to learn and grow while working with major brands

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