Manager Notes:

• This position is onsite WHQ for the hybrid work schedule
• Ideally looking for 8yrs minimum experience as a data analyst (possible data engineer experience would be nice)
• Top must-have skills include the following:
  • SQL
  • Python
  • Backend development experience (aka data engineering)
  • Experience with visualization tools (Tableau, Power BI)
  • Data product lifecycle knowledge
• Desired soft skills:
  • Problem solving mindset
  • Professionalism
  • Business acumen
  • Effective communication; being able to take technical information and communicate it in a more business-savvy way)
• Prior Nike experience highly preferred to execute a high profile project
• Supply chain/manufacturing background would also be a plus
• Will be working closely with the business side of the team; product supply intelligence members, product managers, etc.
• Candidates should expect 2 rounds of interviews; one behavioral, one technical
• Tableau experience preferred
• Databricks experience preferred
• In resume/submission, please include any link to visualization portfolio, for example Tableau Public profile
• For the second round interview, HM wants candidates to showcase a past visualization project (preferably business) to reveal their mindset when it comes to developing E2E reporting

About the Role

This role is ideal for a highly technical, self-motivated analyst with a passion for storytelling through data. You'll work closely with product engineering and manufacturing stakeholders to design and implement scalable data workflows, build intuitive dashboards, and ensure timely access to metrics that drive strategic decisions.

You'll be responsible for the full lifecycle of data reporting - from ingestion and enrichment to visualization and stakeholder engagement - with a focus on supporting our product engineering teams and supply chain operations.

What We're Looking For

• Strong problem-solving mindset and attention to detail
• Ability to thrive in fast-paced, ambiguous environments
• Collaborative and proactive approach to stakeholder engagement
• Passion for data storytelling and driving business impact

Responsibilities

• Lead the development of end-to-end reporting solutions for the Men's & Women's World Cup initiative
• Design and implement data ingestion processes, including user-managed files (e.g., Excel)
• Enrich raw data by applying business logic and transformation rules
• Build and maintain ETL pipelines to support reporting and analytics needs
• Collaborate with material supply engineering teams to gather and refine business requirements
• Develop front-end dashboards using tools like Power BI or Tableau
• Translate complex technical concepts into clear, actionable insights for executive stakeholders
• Ensure data availability and accessibility for cross-functional teams

Qualifications

• Minimum 8 years of experience in data analytics or data engineering
• Proficiency in SQL and Python
• Hands-on experience with Power BI or Tableau
• Familiarity with Data Lakehouse platforms (e.g., Databricks, Snowflake)
• Experience in manufacturing or supply chain environments
• Strong understanding of Agile/Scrum methodologies
• Exceptional communication and stakeholder management skills
• Proven ability to work independently and drive projects forward

Preferred Qualifications

• Experience with cloud platforms (Azure, AWS, GCP)
• Familiarity with CI/CD pipelines for data workflows
• Background in sports analytics or event-based reporting
• Experience working in global, cross-functional teams