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We are seeking a Senior Data Analyst, for a project based assignment, to deliver high-quality analytics and insights that deepen the organization’s understanding of clients, collections, and commercial performance across boutiques, ecommerce, and wholesale channels. This is a hybrid role combining approximately 60% data analytics and 40% analytics-focused data engineering. You will build analytics-ready datasets and semantic models while leading deep commercial and client analysis, performance storytelling, and structured test-and-learn measurement. Reporting to the Manager, Data & Commercial Analytics, this role serves as a critical bridge between raw enterprise data and business decision-making, ensuring leaders operate with trusted metrics, reliable datasets, and actionable insights.
Job Responsibility:
Lead client lifecycle, segmentation, and performance analysis
Deliver assortment, sell-through, margin, and boutique-level insights
Provide executive-ready narratives and actionable recommendations
Support structured test-and-learn measurement initiatives
Build and maintain analytics-ready datasets and data marts
Maintain semantic models and KPI definitions
Develop SQL transformations and implement data quality checks
Improve data consistency, performance, and reliability
Develop automated dashboards and KPI reporting frameworks
Support campaign, capsule, and clientele performance measurement
Translate analytical findings into clear business action
Mentor analysts and data power users
Act as a trusted analytics partner across commercial teams
Requirements:
5–8 years of experience in analytics or analytics engineering roles
Advanced SQL proficiency
Experience working with modern data warehouse environments
Experience working in AWS or GCP environments
Experience with BI tooling and retail KPI frameworks
Strong commercial acumen and performance storytelling skills
High discretion and sound judgment
Polished and concise communication
Comfortable balancing analytical rigor with creative nuance
Pragmatic and accountable
Strong ability to translate data into commercial decisions
Nice to have:
Experience with dbt or similar analytics engineering tools
Exposure to Python or R
Experience in luxury or premium retail environments