Manager, Data Analytics – Data Products & Reporting

Key Skills

Java Programming, Oracle, Python Programming, SQL, SQL Server, Apache Hadoop, Flume, Apache Cassandra, Apache Hive, Apache Pig, Teradata, Apache Impala, MySQL, SPARK Programming, Storm, HBase, Netezza

Job Description

Data fuels Nike’s digital transformation. The Commercial Analytics organization is at the forefront of that transformation, delivering data-driven innovation and insights to support critical Nike initiatives. We invest and develop advances in technology and employ the most creative people in the world! We give them the support to constantly innovate, iterate and evolve the business to serve consumers more directly and personally. Our teams are innovative, diverse, multi-disciplinary and collaborative, taking analytics into the future and bringing the world with it!

Who we are looking for

We are looking for a Manager of Data Analytics to join our team! This role will require someone to lead and mentor a team of data analytics managers while also participating as a member of a product team. They will help deliver scalable data architecture and data products to drive decision making across Nike’s Global functions. The candidate needs to be a strong leader, dependable teammate, and a self-motivated data evangelist.

What you will work on

Key responsibilities:

• Lead a team of data analytics managers to provide career progression, mentorship and support across our product squads.
• Lead development and execution of analytics products across a focused area of the Nike business value stream
• Serve as a domain specialist on data and business process within area of focus.
• Translate complex business problem statements into analytics requirements and work with internal customers to define data product details based on expressed partner needs.
• Lead structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions.
• Analyze existing datasets and interfaces to understand and document current state data architectures.
• Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures.
• Drive data architecture that implements consistency across the data landscape with an emphasis on single sources of truth
• Perform extensive data profiling to understand data behavior and business rules.
• Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
• Drive adoption of and socialize data products with end users through user training.
• Develop frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.
• Support standard methodologies in reporting and analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax.

Who you will work with

You will team up with the Data Enablement Director to enable opportunities, role consistency and data design excellence for the Data Analytics Manager role in Commercial Analytics.

You will lead a team of Data Analytics Managers that work on various product squads across Commercial Analytics.

You will work in a product squad model led by a Product Manager and consisting of 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. Will accept suitable combination of education and experience.
• 6+ years of experience designing Data Warehouse, BI or Analytics solutions
• Excellent problem-solving and interpersonal communication skills
• Comfortable working in a fast-paced environment
• Business process acumen 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
• Demonstrated 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) and semantic data layers, (such as SSAS Cubes/Tabular and Cognos Packages.)
• Solid understanding 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 Big-Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive