Senior Data Analyst (Contract)
About The Position
About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role: 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.
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 Haves
- Experience with dbt or similar analytics engineering tools.
- Exposure to Python or R.
- Experience in luxury or premium retail environments.
Responsibilities
- 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.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
