Senior Data Analyst - Store Analytics (REMOTE)
Remote
At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!
OVERVIEW:
At DICK’S Sporting Goods, we believe sports can change lives. Founded in 1948, DICK’S Sporting Goods first started as a bait-and-tackle shop in Binghamton, NY and has since rapidly expanded into a leading omnichannel retailer with more than 850 locations representing our multiple brands: DICK’S, House of Sport, Golf Galaxy, Public Lands, Going Going Gone, and more. Over the years, it’s been our relentless focus on inspiring, supporting and equipping athletes and outdoor enthusiasts to achieve their dreams that has allowed us to become the $13B company we are today.
Our company is looking to invest in our future as we embark on a journey from being the best sports retailer in the world to becoming the best sports company in the world.We aim to build the ultimate athlete data set that will power our tools and platforms for the most personalized athlete experiences. Join us as we transform our technology, data and analytics to build next-gen tools and platforms for our athletes and teammates. If you are ready to make a difference as part of the world’s greatest sports company, apply today!
Job Purpose:
The Store Analytics team is the lynch pin of driving our Athlete Experience strategy and measurement, sitting at the intersection of stores, technology, data, fulfillment, and merchandising. Our analyst team is critical to driving strategy, measurement, and valuation in stores, closely partnering with our Central Operations and Field teammates to uncover and unearth key insights to elevate our efficiency and productivity, ultimately delivering a seamless experience. This role works in emerging, innovative technologies to drive efficiency and productivity in our stores, and thrives in a space where activating a seamless experience is currency. Key to success in this role is serving as a field and process liaison, marrying data and analytics with store application and activation.
Responsibilities:
Analytics & Testing
With little direction, synthesize myriad data sources into holistic narratives to address business opportunities and strategic direction.
Utilize existing reporting systems to create reports, deriving information from multiple sources, to develop cohesive presentation of KPIs that is easy-to-understand and action.
Perform and support detailed ad hoc, short-term and mid-term analyses on quantitative and qualitative data to answer business questions and/or help inform strategic direction.
With direction, develop statistically sound test designs and lead cross-function groups to implement.
Utilize common tools and platforms (e.g. SQL, GCP, Excel), and/or vendor platforms (Facebook, Instagram, DV360) to query, join, extract, and manipulate raw data from disparate sources to tell a comprehensive story with key insights and recommended actions.
Stay abreast of industry trends with emerging analytical solutions and tools, competitive landscape solutions and headlines, and drive new analytics initiatives that contribute to business goals.
Business Stakeholder Support
With supervision, develop and deliver ad hoc reports and analyses to business stakeholders, while also serving as subject matter expert around [function] business metric and trend interpretations.
Lead and support formal and informal training sessions with client groups to enable business stakeholders to answer questions via self-service tools such as Intera (internal BI tool) and PowerBI.
QUALIFICATIONS:
Bachelor's Degree or Equivalent Level Preferred in Economics, Statistics, Engineering, Liberal Arts or Related Field
3-5 Years of Experience
SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI); GCP or Azure Experience