Information about benefits can be found here.
WHO YOU’LL WORK WITH
The Data, Analytics & Intelligence team sits at the center of Converse’s data and insight ecosystem, enabling Planning, Merchandising, Finance, and enterprise partners to make smarter, faster decisions through trusted data, advanced analytics, and scalable Business Intelligence capabilities. This role reports into the Data, Analytics & Intelligence organization and collaborates cross-functionally with business leaders, analysts, data engineers, and technology partners to modernize the data foundation and elevate analytics across Converse.
WHO WE ARE LOOKING FOR
Converse is looking for a data and analytics professional who combines deep technical expertise with strong business acumen and a passion for turning complex data into meaningful action. The ideal candidate brings experience applying advanced analytical methods, statistical modeling, forecasting, optimization, and machine learning to solve challenging business problems. They are comfortable working with large, imperfect datasets and can translate ambiguous questions into scalable analytical products that drive business outcomes.
This person thrives at the intersection of technology, analytics, and strategy. They possess strong Python and SQL capabilities, understand modern cloud-based analytics environments, and can communicate technical concepts clearly to non-technical audiences. They are naturally curious, highly collaborative, and motivated by building repeatable solutions that improve decision-making, accelerate insights, and unlock value across the enterprise. Experience in retail, consumer products, planning, merchandising, or finance environments is preferred.
- 5+ years of experience in advanced analytics, data science, business analytics, Business Intelligence, or related technical roles.
- Bachelor’s degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or related field. Will accept any suitable combination of education, experience and training.
- Advanced proficiency in SQL, Python, statistical modeling, forecasting, optimization, and machine learning techniques.
- Experience with Databricks, Snowflake, modern cloud analytics platforms, and visualization tools such as Sigma, Tableau, or similar solutions.
- Practical experience applying Artificial Intelligence, Machine Learning, Generative Artificial Intelligence, Large Language Model-based workflows, agentic systems, or Retrieval-Augmented Generation capabilities.
WHAT YOU’LL WORK ON
You will build advanced analytics capabilities that help Converse leaders understand performance, anticipate opportunities and risks, and make more confident business decisions. Through data science, forecasting, and analytical product development, you will transform complex data into scalable solutions that accelerate insight and action across the enterprise.
- Develop, maintain, and evolve data science and advanced analytics capabilities that support Planning, Merchandising, Finance, and enterprise business partners.
- Access, transform, and analyze data using SQL, Python, and modern analytics platforms to uncover actionable business insights.
- Design and deploy forecasting, predictive modeling, optimization, and machine learning solutions that improve planning accuracy and business performance.
- Build reusable analytical workflows, models, and data products that increase automation, consistency, scalability, and speed to insight.
- Partner closely with business stakeholders to translate analytical findings into clear recommendations that drive growth, profitability, inventory productivity, and consumer outcomes.
- Collaborate with data engineering, analytics, and technology teams to improve data quality, governance, accessibility, and usability across the modern data ecosystem.
- Advance data literacy and strengthen the data science community by sharing knowledge, promoting best practices, and exploring emerging Artificial Intelligence capabilities that responsibly scale decision support and analytical impact.
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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Skills Required
- 5+ years of experience in advanced analytics, data science, business analytics, Business Intelligence, or related technical roles.
- Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or related field (or equivalent combination of education, experience, and training).
- Advanced proficiency in SQL, Python, statistical modeling, forecasting, optimization, and machine learning techniques.
- Experience with Databricks, Snowflake, modern cloud analytics platforms, and visualization tools such as Sigma, Tableau, or similar solutions.
- Practical experience applying Artificial Intelligence, Machine Learning, Generative AI, Large Language Model-based workflows, agentic systems, or Retrieval-Augmented Generation capabilities.
- Experience in retail, consumer products, planning, merchandising, or finance environments.
- Strong business acumen, ability to translate ambiguous questions into analytical products, and clear communication with non-technical stakeholders.
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.
-
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.
-
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.
-
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.
Gallery
