WHO YOU’LL WORK WITH
This role typically reports to a Senior Manager, Data Engineering within Global Converse at the India Technology Center (ITC). You will partner with Supply Chain & Logistics, Product, Engineering, Data Platform, Planning, Merchandising, Finance, and business teams to deliver trusted data products, scalable analytics, and decision-ready insights.
WHO WE ARE LOOKING FOR
We are looking for a hands-on Senior Data Engineer who combines strong data engineering capabilities with practical analytics and business intelligence experience. You will design reliable data pipelines and curated datasets using Snowflake or Databricks, apply strong SQL and data modeling skills, and enable decision-ready reporting through Tableau or Sigma. Experience supporting Supply Chain or Logistics is preferred, as this role will translate operational questions across inventory, order flow, fulfillment, transportation, and delivery performance into trusted data solutions. You should be comfortable working across the full data lifecycle, from understanding business requirements and designing scalable models to production support, performance optimization, data quality, and analytics adoption. The ideal candidate communicates clearly, collaborates across global teams, and takes ownership from problem definition through delivery and continuous improvement.
- 6-8 years of relevant experience in data engineering, analytics engineering, business intelligence, data analytics, or related roles.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or an equivalent combination of education, experience, and training.
- Strong SQL skills and hands-on data engineering experience with Snowflake or Databricks; experience with both is preferred.
- Experience using Tableau or Sigma to deliver dashboards, governed KPIs, semantic models, and self-service analytics.
- Preferred: experience delivering data or analytics solutions for Supply Chain, Logistics, inventory, order management, fulfillment, transportation, or related retail operations.
WHAT YOU’LL WORK ON
You will build and support scalable data products that help Supply Chain & Logistics and other enterprise partners make faster, better-informed decisions. You will combine data engineering, analytical modeling, and BI skills to turn business questions into reliable, production-ready datasets and analytics solutions.
- Partner with Supply Chain & Logistics stakeholders to understand operational questions, define measures, and translate requirements into scalable data solutions.
- Build, test, deploy, and maintain data pipelines, transformations, and curated analytical datasets using SQL, Snowflake, Databricks, Python, Spark, or related technologies.
- Design reusable dimensional data models and semantic layers that improve consistency, quality, discoverability, and trust across reporting and analytics.
- Develop and evolve Tableau or Sigma dashboards, KPI frameworks, and self-service analytics products that enable users to monitor performance, investigate drivers, and take action.
- Analyze and enable insights across demand, inventory, order fulfillment, transportation, delivery performance, and related operational measures.
- Collaborate with Product Managers, Engineers, Platform teams, and business partners through design reviews, testing, release, adoption, and production support.
- Improve engineering quality through automated testing, code reviews, documentation, performance tuning, observability, and reliable DevOps practices.
Skills Required
- 6-8 years of relevant experience in data engineering, analytics engineering, business intelligence, data analytics, or related roles
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or equivalent education, experience, and training
- Strong SQL skills and hands-on data engineering experience with Snowflake or Databricks
- Experience using Tableau or Sigma for dashboards, governed KPIs, semantic models, and self-service analytics
- Experience delivering data or analytics solutions for supply chain, logistics, inventory, order management, fulfillment, transportation, or related retail operations
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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