Nuuly Senior Data Analyst
Role details
Job location
Tech stack
Job description
Nuuly's clothing rental model relies on seamless coordination between fashion, technology, and operations. We continuously innovate how customers and inventory move across a multi-node fulfillment network to deliver the best possible customer experience. The Business Analytics team partners closely with cross-functional partners to support strategy across buying & planning, supply chain & logistics, customer success, and product management. We take on complex questions that go beyond what dashboards can answer; providing data-driven insights to inform decisions across all functions of the business. Who You Are:
- You are a proactive and strategic thinker.
- You are able to take ambiguous questions and turn them into actionable insights.
- You connect the dots between data and strategy, and prioritize analyses that drive impact.
- You are a great communicator and synthesizer of information for both technical and non-technical audiences.
- You are intellectually curious and committed to continuous learning.
Role Responsibilities:
- Understand & analyze data via Google BigQuery (SQL), Looker, & Python.
- Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics solutions.
- Lead end-to-end delivery of high quality, well documented analyses - including defining metrics & approaches, soliciting stakeholder feedback, and refining analyses. Projects range in scope from clearly defined business questions, to more complex, ambiguous problems.
- Deliver data-driven insights to guide product strategy and evaluate feature performance.
Requirements
Do you have experience in Statistics?, Do you have a Bachelor's degree?, * Bachelor's degree in a quantitative discipline.
- 4+ years of experience in analytics or quantitative roles
- Excellent SQL skills.
- Ability to efficiently query, manipulate, and analyze data.
- Ability to thoroughly QA & resolve bugs
- Excellent Excel/Google Sheets skills
- Foundational Python experience with eagerness to further develop skills
- Experience with data visualization tools such as Looker
- Excellent communication skills and presentation skills
- Strong statistical aptitude
Additional:
- Interest in logistics, product, and customer analytics
- Experience in retail, fashion, supply chain & logistics, or subscription services is a plus
- Experience with dbt is a plus
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Employee discount
- Vision insurance
- Dental insurance