Senior Data Analyst

Senior Data Analyst

At DICKS 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 worlds greatest sports team, apply to join our team today!

OVERVIEW:

At DICKS Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICKS Sporting Goods, youre joining a true team that wins together. We help our Athletes and fellow Teammates better their best by

innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park.

The Senior Analyst supports the Media & Campaign analytics portfolio. Under supervision, this individual is responsible for developing strategic analyses and occasional reporting to unearth insights and findings to inform action rooted in data, servicing ad-hoc analytics requests and training users on data/report.

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. Lead cross-functional efforts to guide strategy on Media Mix Modeling and reconcile results into tangible business outcomes. 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 (e.g. Meta, Google, Snapchat) 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 Mixed Media

Modeling and media performance metrics with 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:

Education & Experience

  • Bachelor's Degree or Equivalent Level Preferred

  • Economics, Statistics, Liberal Arts or Related Field

  • 3-5 Years of Experience

  • SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI); GCP or Azure Experience

Targeted Pay Range: $67,100 - $109,000. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.