D.LUXURY BRANDS
D. LUXURY BRANDS is a leading growth partner for high-potential direct-to-consumer (DTC) businesses. Through its proprietary DigitalRx™ Audit, the company offers in-depth analysis and strategic insights to identify opportunities for growth and profitability. D. LUXURY BRANDS collaborates with private equity firms and venture capitalists to enhance the performance of their portfolio companies by delivering data-driven strategies, optimizing customer journeys, and executing effective marketing campaigns.
E-commerce Due Diligence • Digital Marketing • E-Commerce Growth Strategy • Outsourced Digital Growth Services • CRM (Email, SMS, Loyalty, Retention Strategy)
Ecommerce BI Analyst
Yesterday
D.LUXURY BRANDS
D. LUXURY BRANDS is a leading growth partner for high-potential direct-to-consumer (DTC) businesses. Through its proprietary DigitalRx™ Audit, the company offers in-depth analysis and strategic insights to identify opportunities for growth and profitability. D. LUXURY BRANDS collaborates with private equity firms and venture capitalists to enhance the performance of their portfolio companies by delivering data-driven strategies, optimizing customer journeys, and executing effective marketing campaigns.
E-commerce Due Diligence • Digital Marketing • E-Commerce Growth Strategy • Outsourced Digital Growth Services • CRM (Email, SMS, Loyalty, Retention Strategy)
📋 Description
• Help maintain and improve data pipelines, ensuring seamless data integration and high-quality reporting. • Maintain and optimize data architecture leveraging BigQuery SQL and Terraform. • Work with data analytics team to structure, clean, and optimize datasets for reporting tools. • Automate exception reporting and optimize data transformations for analytics models. • Support code versioning, data flow documentation, and change management. • Develop and maintain ETL/ELT processes for analytics-ready tables in BigQuery. • Automate onboarding of new brands into data pipeline and scale transformations.
🎯 Requirements
• Strong SQL expertise (must-have); Python knowledge. • Familiarity with BigQuery and cloud-based data environments. • Understanding of ETL/ELT processes and data pipeline management. • Experience with Terraform (or similar Infrastructure as Code (IaC) tools). • Experience with Great Expectations (or other data quality frameworks). • JSON and API data handling knowledge is a plus. • Interest in BI tools like Tableau or Looker Studio (bonus if you have hands-on experience). • Ability to work independently, troubleshoot data issues, and collaborate with analytics teams.
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