Data Analytics Manager

Nike; Beaverton, Oregon (OR, IL); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Analytics Manager to enhance decision-making through scalable data architecture and insightful analytics. In this role, you will translate complex business problems into actionable data solutions, ensuring data integrity and driving the adoption of data products. You will work closely with internal teams to develop SQL queries and data visualizations, supporting both ad-hoc requests and ongoing reporting needs. This position offers the flexibility of telecommuting from anywhere in the U.S., providing an excellent opportunity to contribute to impactful projects in a dynamic environment.

Qualifications

• 3+ years of experience in data analytics and business analysis.
• Strong proficiency in SQL and data visualization tools.

Responsibilities

• Maximize analytics ROI by delivering data products for decision making.
• Support end-to-end analysis and drive adoption of data products.

Skills

Business analysis

SQL

Data visualization

Data architecture

Agile methodologies

Data management systems

Dimensional modeling

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Computer Information Systems

Bachelor’s degree in Electronic Engineering

Tools

Snowflake

AWS

Git

Tableau

Figma

Job description

Data Analytics Manager – NIKE, Inc. - Beaverton, OR

Maximize analytics return on investment, driving scalable data architecture, and delivering data products to enhance decision making across Nike’s Global functions. Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs. Document systems/analytics solutions to the business, translating complex functionality into business relevant language. Support end-to-end analysis to inform product strategy, data architecture and reporting decisions. Drive the solving of complex data problems demonstrating analytical and statistical rigor. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax. Document data architecture solutions, business requirements, training material and business processes for both business and technical audiences. Validate data integrity within back-end data assets and data products supporting accurate and consistent reporting and analytics. Serve as domain expert on data and business process within area of focus. Drive adoption of and socialize the data products with end users through user training. Support standard methodologies in reporting and analysis: data integrity, unit testing, data quality control, system integration testing, modelling, validation, and documentation. Monitor and solve operational or data issues in the data pipelines. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Minimum Requirements

Must have a Bachelor’s degree in Computer Science, Computer Information Systems, or Electronic Engineering and 3 years of experience in the job offered or a computer-related occupation. Experience must include:

1. Business analysis
2. SQL
3. Snowflake
4. Data visualization
5. Data architecture
6. Agile methodologies
7. Data management systems, such as Teradata
8. AWS, Git, and Tableau
9. Dimensional modeling
10. Figma

Apply at www.jobs.nike.com (Job# R-48395)

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We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.