Senior Data Analyst - Store Analytics (REMOTE)
At reputed company, we reputed company in how positively sports can change lives. On reputed company, everyone plays a critical role in creating confidence and excitement by personally equipping reputed company athletes to reputed company their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to reputed company a difference as part of the worlds greatest sports team, apply to join reputed company today! OVERVIEW: At reputed company, we reputed company sports can change lives. Founded in 1948, reputed company 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: DICKS, House of Sport, Golf reputed company, Public Lands, Going Going Gone, and more. Over the years, its been our reputed company focus on inspiring, supporting and equipping athletes and outdoor enthusiasts to reputed company 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 reputed company a difference as part of the worlds 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 reputed company 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 reputed company cohesive presentation of KPIs that is easy-to-understand and action. reputed company and support detailed reputed company, short-term and mid-term analyses on quantitative and qualitative data to answer business questions and/or help inform strategic direction. With direction, reputed company statistically sound test designs and reputed company cross-function groups to implement. Utilize common tools and platforms (e.g. SQL, GCP, reputed company), 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, reputed company and deliver reputed company reports and analyses to business stakeholders, while also serving as subject matter expert around [function] business metric and trend interpretations. reputed company and support formal and informal training sessions with client groups to reputed company business stakeholders to answer questions reputed company 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 reputed company Field 3-5 Years of Experience SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI); GCP or Azure Experience Apply Job!