About the position
We are seeking a dynamic, people-centric, and seasoned Analytics professional who is passionate about business, an expert in connecting the dots between business and data with an entrepreneurial mindset to deliver sound, data-driven products, insights and business growth strategies to Fashion & Fitness. The ideal candidate is an experienced data professional comfortable in inventing and simplifying. You are analytical and possess a deep knowledge for working with data, business intelligence solutions and developing insights. You empower data driven decision through implementing principles of data mining, data modeling to define and measure metrics for evaluating and diving deep on the health of the business. You are comfortable working with Data Engineering teams to drive business insights and develop data modeling across a wide range of business and programs. You are able to develop a strategy and vision for your space, communicate your view effectively with the leadership and business stakeholders. This role requires excellent business acumen and communication skills as well as the ability to effectively partner with business customers to empower them with the business insights.
Responsibilities
- Create a vision and roadmap for analytics in our Fashion and Fitness Supply Chain including data infrastructure, automation, analytical tools to help retail business teams drive insights and revamp analytical capabilities to power retail tools.
- Closely work with Data Engineering to develop statistical modeling to serve business needs.
- Build strong partnership with business customers and earn their trust by obsessing over their business use cases, data needs, and helping them solve problems with technology.
- Establish best practices including quality assurance, automation, code reviews, quality checks, and data alarms.
- Create a culture of continuous improvement through automation, self-service analytics, and reporting.
- Lead complex data analysis in new uncharted areas to gain insights into performance.
- Write or review code/queries, establish data pipelines, or create data visualizations for our stakeholders.
Requirements
- Experience in analytics and business intelligence.
- Strong knowledge of data mining and data modeling.
- Ability to develop and communicate a strategy and vision.
- Excellent business acumen and communication skills.
- Experience working with Data Engineering teams.
Nice-to-haves
- Experience with big data sets.
- Familiarity with statistical modeling.
- Experience in retail analytics.
