onsite
BI / Data Analytics Manager Luxury Retail
Software Engineer
Lead the BI and data analytics function for a luxury‑retail business, driving data‑driven insights, advanced analytics, and AI solutions using Python, SQL, Tableau, Power BI, and cloud platforms.
About the role
Key Responsibilities
- Define and execute the BI and analytics strategy aligned with business goals and luxury‑retail KPIs.
- Design, develop, and maintain dashboards and reporting solutions in Tableau and Power BI for sales, inventory, and customer insights.
- Lead data engineering initiatives on AWS, building scalable pipelines for big‑data ingestion, transformation, and storage.
- Apply machine‑learning models to forecast demand, personalize offers, and optimize pricing.
- Champion Agile practices, sprint planning, and cross‑functional collaboration with product, marketing, and IT teams.
- Mentor a team of analysts and data engineers, fostering a culture of data literacy and continuous improvement.
Requirements
- 5+ years of experience in BI, data analytics, or data science, preferably in retail or luxury sectors.
- Proficiency in Python, SQL, and cloud services (AWS S3, Redshift, Glue, etc.).
- Strong expertise with Tableau and Power BI for visual analytics.
- Hands‑on experience building and deploying machine‑learning models and big‑data pipelines.
- Demonstrated ability to lead Agile teams and manage stakeholder expectations.
Skills
pythonsqltableaupower biawsmachine learningagile