<h1>Senior Data Analyst Finance Business Intelligence – Finance Transformation</h1>Become a Part of the NIKE, Inc. TeamNIKE, 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, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally.  Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.<h2>WHO WE ARE LOOKING FOR</h2>We’re looking for a Senior Data Analyst to be a part of the Finance Business Intelligence (FBI) Data Enablement team within the Nike Business Services organization. In this role, you’ll assist the business Product Owner with requirements gathering, documentation, and story creation, while taking ownership of data profiling and analysis of raw and curated data.The ideal candidate can understand business needs and clearly translate those needs into actionable technical requirements. Their technical background will be solid, having expertise in data cleansing, data analysis, data visualization, and data storytelling. They are curious, lifelong learners, who enthusiastically seek to understand the why behind technical processes and data.<h2>WHAT YOU WILL WORK ON</h2>If this is you, you’ll work to design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions. You will use your expertise with both business and technology to help the product owner be successful and the data engineers be efficient. You will gather requirements and design data flows to intake financial transactions, develop and test complex business rules, and identify and model data against product and customer attribution to support financial optimization and deep analytics.  Technically, this means you’ll be responsible for building the financial analytic capabilities that transform Nike to meet the challenges of a mixed retail and wholesale future.<h2>WHO YOU WILL WORK WITH</h2>You will be a part of a team of data analysts that sit across several finance analytics squads, each specializing in a particular finance function. You will be helping the business Product Owner create and drive an agile product backlog within the scrum team as together you work to deliver transformational reporting and analysis.  You will also work with the wider product team to drive roadmaps that provide a larger solution viewpoint and align to stakeholder expectations. Stakeholders encompass finance leadership from different functional domains within headquarters and geographies, responsible for measuring financial performance and developing product and financial plans.<h2>WHAT YOU BRING</h2>·A minimum of a Bachelors degree in Business, Finance, Economics, Marketing, IT or a related field or equivalent combination of education and experience.·Minimum 3-5 years of experience with an emphasis on business reporting and analytics required·Experience with Financial data and systems·Strong ability to lead and/or work on cross-functional teams and provide project management support·Ability to work independently and manage multiple projects with multiple business stakeholders on firm deadlines ·Ability to influence and communicate effectively, both verbally and written, with team members and business stakeholders·Experience with defining new measures, and the translation of business goals into quantitative metrics and reporting·Strong verbal and written communication skills, with the ability to present information to diverse audiences. Proficiency in tools like PowerPoint, Keynote, or a similar presentation format is required.·Advanced SQL skills are mandatory. Experience querying big data environments (e.g. Snowflake, Databricks) is preferred.·Proven ability to sift through data, identify critical information, analyze data, formulate hypotheses, and provide recommendations to a broad range of stakeholders·Experience with Cloud Data Stacks (AWS, Snowflake, Databricks, etc)·Experience with Python, Spark, and/or Airflow is preferred·Strong understanding of data structures and algorithms·Strong understanding of solution and technical design·Strong problem solving and analytical mindsetWe 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 <a href="https://app.smartsheet.com/b/form/5153e46a93f4460db48eb9e611386685" target="_blank">Candidate Accommodation Request Form</a>.