Senior Manager, Analytics Infrastructure

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor's degree with a minimum of 8 years of relevant work experience, or equivalent education and experience., Strong technical skills in Python, SQL, and data engineering., Experience with AI/ML, statistical models, and data visualization tools like Tableau., Ability to translate complex business requirements into technical solutions..

Key responsabilities:

  • Lead the design, development, and maintenance of analytics infrastructure for data science and reporting.
  • Oversee the translation of business needs into functional code for analysis and reporting solutions.
  • Collaborate with cross-functional teams and stakeholders to communicate the Data Product roadmap.
  • Connect with Nike Tech partners regarding models, architecture, and best practices for data solutions.

Nike logo
Nike XLarge https://jobs.nike.com/
10001 Employees
See all jobs

Job description

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $138,400.00 in our lowest geographic market to $327,200.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

At Nike’s Global Places & Services (GPS) organization, we design and bring to life physical environments and experiences for Nike and the athlete* in more than 100 cities around the world. We work every day to make location a competitive advantage by delivering against our key capabilities: location, physical environments, events, sport, nutrition and mobility.

WHO WE ARE LOOKING FOR

We’re looking for an Analytics Infrastructure Lead to join the GPS Intelligence (GPSI) team in creating and developing Location-based Analytics. This role will manage data engineering and the analytics infrastructure strategy for GPSi, and will also be responsible for communicating the Data Product roadmap to cross-functional stakeholders.

The candidate needs to have strong technical skills with a background in data engineering as well as development experience with front-end applications. Candidates should have a backround working with statistics, data modeling, and have a strong competency in AI/ML. Candidates should also have the ability to synthesize complex information into concise and meaningful insights, demonstrating the ability to translate business requirements for analytics/reporting solutions back to their technical team members.

WHAT YOU WILL WORK ON

If this is you, you’ll be working with Global Places and Services teams on a daily basis and often interacting/collaborating with business partner functions who require Location data and reporting. You will be leading the design, development, and maintenance of the analytics infrastructure that supports data science, analytics and reporting needs for the GPS group. This role will be responsible for overseeing the translation of business needs into functional code for analysis and reporting solutions.  In addition, the Analytics Infrastructure Lead will connect with our Nike Tech partners regarding models, architecture and best practices for data solutions. 

WHO YOU WILL WORK WITH

This role reports to the Director of GPS Intelligence and is a member of the GPS Intelligence team within Global Operations. In this role you will work closely with other GPS Intelligence team members as well as teams throughout GPS on a global scale. Your primary stakeholders will sit in the core functions of GPS (Global Places and Global Services). You will also collaborate with Nike business partners in Technology, Security, HR and  Legal to support the creation and maintenance of GPS analytics and data solutions.

WHAT YOU BRING

Primary 

  • Python 
  • SQL 
  • Snowflak
  • Source Control
  • Querying 
  • Tableau and Tableau Prep 
  • Statistical Models
  • AI/ML

 Nice-to-haves 

  • Data architecture and data modeling 
  • Relational database design (normalization/denormalization, conceptual modeling, physical modeling) 
  • Security/role-based access control design 
  • CI/CD experience (ideally Jenkins) 
  • UNIX scripting (Bash) and automation 

Other skills/experience 

  • Front-end application/data visualization development
  • Designing and implementing data quality tests \Test-driven development 
  • Understanding of master data management 
  • Explain technical concepts in simplified ‘business’ language 
  • Bachelor’s degree and minimum of 8 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 5 yrs or related field or equivalent combination of education and experience
  • Formal analytics, data visualization, or computer science background preferred

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

Related jobs