The Senior Marketing Analyst– Strategy & Analytics will use data to help inform tactical and strategic decisions regarding marketing campaigns and spend. The role requires a candidate with a commitment to continued and proactive learning. The Senior analyst will be responsible for independently performing and delivering well-researched analyses, designing, executing, and reporting robust marketing specific tests, being intimately familiar with the nature, characteristics, and caveats related to Dick’s Marketing and Athlete data, and supporting more senior analysts with project level mid-term and long-term analytics work.
Proactively leads measurement discussions with a well-reasoned POV, and makes actionable recommendations as to measurement, KPI’s, best practices and potential outcomes and actions related to the business objective.
Independently uses 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.
Acts as a first line resource for more junior analysts, and shows willingness to coach/mentor them.
Intimately familiar with the marketing plan & budget, and anticipates measurement requests and roadblocks prior to being solicited by the business.
Integrates channel measurement into a regular cadence with cross functional partners, and delivers analysis and reports in a timely fashion.
Exhibits a continuous improvement mindset, and proactively ideates and implements initiatives to improve speed of delivery or value of outputs.
Deliver analysis, insights, and recommendations to technical and non-technical audiences. Deliverables may take the shape of email communications and/or presentations.
Test & Learn
Designs, executes, analyzes, and reports results of marketing related test initiatives, both at the Store and Athlete level
Conversant in the principles of test and learn, as the relate to retail & marketing specific use cases.
Applies standardized & consistent approaches, methodologies, and frameworks from test to test, and is able to clearly document or explain cases in which deviations from the standard.
Is able to understand, evaluate, and practically apply statistical concepts such as power, sampling, confidence, significance to regular testing, and explain interpretation and nuances as they relate to business decision making.
Selects the most appropriate statistical toolset for the desired test, such as 3rd party vendor software, RStudio, Excel, etc.
Data & Reporting
Knows the schemas, characteristics, processes, and caveats of the marketing data used on a daily basis, and is able to explain them in relatable terms to non-technical audiences.
Provide data guidance to Tech and Product teams, to help shape and inform reporting solutions to meet business user’s needs.
Be a first line resource for business users, able to answer questions on data interpretation and meaning of results
Our teammates go beyond the expected, providing genuine, helpful and friendly service to help athletes perform at their best and enjoy their sport.
COMMITTED TO INCLUSION & DIVERSITY.
We actively seek to create an inclusive and diverse workforce, reflecting the communities we serve. Doing so strengthens our ability to serve all our athletes and drive innovation and growth.
HAVE A PASSION FOR SPORTS.
We believe that sports make people better and we’re determined to be the best sports company in the world. Whether you’re an athlete or sports enthusiast, we bring our passion for the game into everything we do.
GET BETTER EVERY DAY.
The journey is never over. We know that to be the best, we must get a little better each day. We focus on delivering 1% more in everything we do.
What we’re looking for
Bachelor's Degree in Mathematics, Statistics, or MBA (with Quantitative Analysis focus)
3 – 5 years CRM / Marketing Analytics experience in a retail or banking environment is strongly preferred
Experience with SQL, R, Python, SAS, or equivalent
Proficiency working with / querying relational databases, statistical analysis methods and data mining techniques