Lead Data Analyst (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:

Job Purpose:

The Lead Analyst supports the Customer Analytics portfolio, developing strategic analyses and occasional reporting to unearth insights to inform action rooted in data, with little direction – and serving as a subject matter expert in the space. Under general supervision, this individual will synthesize data acquired from myriad resources, coalescing disparate information into a cohesive, actionable story.
 

Job Responsibilities:

Analytics & Testing

• Develops strategic analyses to unearth insights to inform action rooted in data, synthesizing data acquired from myriad resources, to tell cohesive, actionable stories.

• Defines analytical priorities for functional area, and effectively delegates analysis work to support business timelines and objectives.

• Retains overall responsibility for the quality of analytical output of the defined functional area.

• Proactively evaluates analytical process and seeks out better or faster ways of generating value for business decision making.

• Able to use 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.

• Deliver analysis, insights, and recommendations to technical and non-technical audiences. Contribute to, and implement, statistically sound test designs, and present findings to cross-functional business stakeholders to contribute to mid- and long-term strategy.

• Experience with customer analytics across digital, retail, and omnichannel touchpoints.

• Proven track record in analyzing customer behavior, segmentation, lifetime value, churn, and acquisition metrics.

• Hands-on experience with data platforms and analytics tools such as SQL, Python/R, and visualization tools such as Power BI or Looker. Experience with cloud data platforms (e.g., Google BigQuery) preferred.

• Experience with Customer Analytics, Customer Journey Analytics and/or Customer Profiling Analytics a plus.

• Strong knowledge of customer data models, including first-party data strategy, CRM data structures, and integrating data across multiple data sources.

• Demonstrated ability to influence business strategy through customer insights.

QUALIFICATIONS:

• Bachelor's Degree or Equivalent Level Preferred Economics, Statistics, Liberal Arts or Related Field.

• 5-7 Years of Experience

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

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