Business Systems Analyst - Location Data ProductHybrid

Title: Business Systems Analyst - Location Data Product

Location: Beaverton, OR

Duration: 7 Month contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO ARE WE LOOKING FOR

Nike’s Global Places and Services (GPS) function is focused on making location a strategic advantage for Nike, leveraging the Nike Data Foundation platform architecture to implement a Location Data Product for the enterprise. This enterprise product will:

• Create a source of truth for location across Nike.
• Centralize consumption objects for reporting, analytical and operational needs.
• Enable audits of location data to maintain data quality.
• Build a flexible and scalable solution to enable future location data needs.
• Central resources to support enterprise location needs (reducing duplicative efforts and improving Nike total cost of ownership).

WHAT WILL YOU WORK ON

Contractor will provide a dedicated, full-time (40 hours/week) senior business system analyst who will provide data and source system analysis and documentation for GPS related to establishing new SOLE Databricks ecosystem, including establishing new data pipelines from source systems to the Nike Data Foundation/Workplace Intelligence ecosystem. Specifically, the Contractor will:

• Drive use case and requirement analysis for the ingestion and integration of core data domains to be leveraged by Business Intelligence / Advanced Analytics /Operational teams to gain insights on Nike’s successes and opportunities and improve operational efficiencies.
• Propel analytics through robust data comprehension, solution requirements, source system to target mappings, data flow modeling, and cross-functional partnership for solution delivery.
• Marry data architecture design to direct business process evolution.
• Prioritize and manage backlog.
• Perform reverse engineering to understand and evolve an existing solution.
• Research a critical source system/service to automate ingestion, educating teammates on Contractor’s robust knowledge of business data requirements and business processes.

RESPONSIBILITIES

• Requirements and Use Case documentation for data engineering development.
• Source to Target Mapping.
• Data Product Requirements.
• Test Cases for user acceptance.
• Data Dictionary (business and technical).
• Documentation around process and data flow mapping.
• Input to guidelines, data governance structure, and standards.
• Data Quality & Audit process and standards.
• Analysis of data validation and cleansing in systems.
• API and Consumption Layer Requirements.

WHAT YOU BRING

• Meet the deliverables assigned (such as key deliverables mentioned above).
• Be able to work independently.
• Embrace and understand Agile methodology.
• Understand how to navigate in grey area (not everything is clearly defined).
• Adjust to new stakeholders when they are identified (and intake/requirement gathering).
• Learn with architect and engineers as we engage in a new technology platform/architecture (SOLE Databricks).
• Work across a solutions team that is a mix of teammates from differing functions and located in different places around the world.
• Ensure accountability for teammates and themselves.
• Work with the team to meet goals (team player).
• Communicate early and often when clarity is needed (not make assumptions).
• Value the importance of teammates time.
• Be prepared.
• Be professional.
• Be transparent and ask for help when needed.