Senior Data Analyst

Who we are looking for

We are looking for a Senior Data Analyst to join the Product and Merchandise Data Foundation. This role participates as a member of a product team; delivering scalable data architecture and data products to drive decision making across Nike’s Global functions. The candidate needs to be a strong analyst, meticulous teammate, and a self-motivated data evangelist.

• You are unconventionally curious, especially about how data can be used to optimize business opportunities
• Lead multi-functional Kaizen teams across different shifts in improving their operation using our NLS guiding principles & culture, including various LEAN tools, techniques, and continuous improvement philosophy
• Lead the introduction, application, and alignment to data governance concepts and behaviors across APLA’s data and analytics solutions, ensuring we are meeting business needs while balancing quality, risk and cost
• Apply expertise with business partners to collaborate with key partners to understand requirements, drive knowledge into action and support data driven decision making
• You thrive in an adventurous environment, and you are excited by the challenge of building something from the ground up
• You ask questions, continually learn, and find opportunities to share your knowledge with others

Who you will work with

You will work in a product squad model led by a Product Manager and consisting of data analysts, engineers and developers.

You will work as part of the Data Products and Reporting leadership team consisting of Product Directors and Data Analytics Directors while partnering closely with Data Engineering and Enterprise Platform leadership. You will collaborate across our broader organization with business teams as well as other data, analytics and technology functions at Nike.

What you bring

• Bachelor’s Degree or a combination of relevant education, experience, and training
• Minimum of 5+ years of consistent track record in product management;
• Excellent problem-solving and interpersonal communication skills
• Confirmed ability to deliver on commitments
• Comfortable working in a fast-paced, results-oriented environment
• Business process competence and ability to map processes to data models and architectures
• Relevant experience in data warehousing, dimensional modeling and the ability to bring standard methodologies with regard to data management, ETL, API integrations, and data governance
• Proficiency in SQL (Hive, Impala) or similar experience in analyzing large structured and unstructured datasets
• Experience analyzing large structured and unstructured datasets
• Demonstrable ability to develop structured analysis that support data architecture design
• Experience defining data architectures to support data visualization tools such as Tableau, IBM Cognos, and PowerBI
• Experience defining data architectures to support semantic data layers, such as SSAS Cubes/Tabular and Cognos Packages
• Solid grasp of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2
• Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in workplace culture
• Experience with cloud environments such as Microsoft Azure, Google Cloud, and AWS
• Experience with cloud environments such as Microsoft Azure, Google Cloud, and AWS. Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive