Senior Analyst, Merchandising, Global Jordan
NikeAbout the role
WHO YOU’LL WORK WITH
This person will be a member of the Jordan Insights and Analytics team, reporting to Director of Merchandising Analytics. You will work alongside the Jordan Insights team and Global Merchants across all genders, sports, and product engines. You’ll also collaborate with other insights and analytics teams, operations, planning, BI/Technology, and geo counterparts.
WHO WE ARE LOOKING FOR
This role is ideal for someone with who enjoys wrangling data and managing multiple projects simultaneously. You’ll need curiosity and ingenuity to explore new methodologies, propose frameworks, and build and deliver data-centric solutions from the ground up. Because we work in a strategic and dynamic environment, you need to truly feel comfortable with ambiguous objectives and have a bias for speed over precision.
From a skills perspective, you’ll need advanced technical skills to hunt and process the data needed to influence product line and assortment strategies. An understanding of basic statistics in combination with retail and business acumen will help you put that information into useful context for our business. You’ll need the skills to distill and communicate your findings to a non-technical audience, which includes effective data visualizations and data-driven storytelling. Awareness, collaboration, and organizational skills are a must to navigate our matrixed organization effectively.
WHAT YOU’LL WORK ON
You’ll be part of a world class team of researchers, analysts, and merchants. We’ll get into the details of marketplace sales, integrate consumer and marketplace-centric data, and develop concrete findings and recommendations to merchandising. Focus areas include the product line, assortments, distribution, pricing, and color briefs. You’ll collaborate with other analytics teams at Nike to learn and integrate best practices for Jordan and interact with a variety of functions including operations, planning, and technology.
Bachelor's degree in business or related field. Will accept any suitable combination of education, experience and training
3+ years of experience in analytics or other quantitative disciplines
Advanced SQL skills are a must. Expertise working in Snowflake, Data Bricks, Tableau, Keynote, and all other common productivity tools is necessary.
Proven ability to sift through data, identify critical information, join disparate data sets, develop hypothesis, and perform rigorous analyses quickly and consistently.
Proficient in statistical analysis and ability to interpret advanced or build basic data models preferred.
Demonstrated ability to learn new tools quickly with minimal guidance.
Experience with Nike data landscape is a huge plus.
Interest in working in a fast-paced, ambiguous e
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