Senior Data Analytics Manager

Analytics is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world! Our Insights Data Science & Analytics team builds analytics-based solutions to lead the marketplace and optimize the supply chain. Using big data, advanced analytics and innovative technology, the team strives to ensure that Nike gets the right product to the right place at the right time.

WHO WE ARE LOOKING FOR

We are looking for a Data Analytics Manager to join the Data Science team. 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 leader, meticulous teammate, and a self-motivated data evangelist.

• Unconventionally curious, especially about how data can be used to optimize business opportunities.

• You obsess the value of sound data architecture and promote the best practices and standards to support analytics solutions.

• Passionate about translating business requirements into data designs that drive the development of analytics tools and data products.

• Highly proficient in SQL, experienced in data design for analytics solutions and at home in a cloud based big data environment.

• Comfortable in Python's analytics landscape, including pyspark, pandas, numpy, streamlit, and seaborn

• You thrive in an entrepreneurial 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.

WHAT YOU WILL WORK ON

• Manage the data analysis and design of analytics products across a focused area of the Nike business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals

• Serve as a domain specialist on data and business processes within an area of focus.

• Translate sophisticated business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs

• Perform extensive data profiling and root cause analysis to understand data behavior and business rules

• Document data architecture solutions, business requirements, training material and business processes for both business and technical audiences

• Lead structured, end-to-end analysis to advise product strategy, data architecture and reporting decisions

• Analyze existing datasets and interfaces to understand and detail current state data architectures

• Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards

• Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation

• Develop data processing pipelines, queries and data visualizations to fulfill analysis requests

WHO YOU WILL WORK WITH

You will work in a product squad model led by a Product Manager and consisting of data scientists, data analysts, engineers and visualization developers. 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 in Business, Statistics, Mathematics, Economics, Technology, Computer Science or other related fields preferred, or a combination of education and experience in related fields

• 3+ years of experience designing Data Warehousing, BI, or Analytics solutions

• Business process competence and ability to map processes to data models and architectures

• Experience in dimensional modeling

• Expert level proficiency in SQL

• Experience analyzing large structured and unstructured datasets

• Proven track record of developing structured analysis that support data architecture design

• Experience with implementing data pipelines using function/object-oriented languages including Python, Scala, and Java

• Experience defining data architectures to support data visualization tools such as Seaborn, Tableau, IBM Cognos, and PowerBI

• Experience defining data architectures to support semantic data layers, such as SSAS Cubes/Tabular and Cognos Packages.

• Solid understanding of various database management systems like Oracle, MySQL, Teradata, Snowflake, 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 Big Data and NoSQL technologies like Hadoop, HBase, Spark, Hive