Lead Data Analyst- North America

Key Skills

Java Programming, Python Programming, SQL, PowerBI, Big Data Technology, Apache Hadoop, Tableau, Amazon Athena, R Programming, Amazon RedShift, Shell Scripting language, Github, DOMO, Data Analysis

Job Description

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, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Who are we looking for

We are looking for an experienced Lead Data Analyst in our North America Data & Analytics team to lead and conduct full life cycle analysis, produce reports that provide valuable insight for business to enable continuous improvements. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, good eye for business, and a highly developed drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and business partners. This person will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

What will you work on

• Acquire data from primary or secondary data sources and maintain databases/data systems
• Organize and transform information into comprehensible structures
• Use data to predict trends and perform statistical analysis
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Use tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
• Use data mining to extract information from data sets and identify correlations and patterns
• Monitor data quality and remove corrupt data
• Manage and design the reporting environment, including data sources, security, and metadata
• Evaluate changes and updates to source systems
• Communicate with business partners to understand data content and business requirements
• Locate and define new process improvement opportunities

Who will you work with

This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You’ll be working closely with Internal partners, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of Nike’s maxims is “Win as a Team” and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work. You thrive when surrounded by hardworking colleagues and aim to never stop learning.

What you bring

• Bachelor/Master degree in Mathematics, Economics, Computer Science, or related technical subject area or equivalent combination of education and experience
• 7+ years proven work experience in Data Analyst or Business Data Analyst role
• Experience in SQL and a scripting language such as Python or R
• Strong problem solving and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Good understanding of Hadoop and Big Data processing frameworks
• Experience working with BI tools like Tableau, Power BI or DOMO
• Strong understanding of data modeling and analytical algorithms (including forecasting and modeling)
• Experience with source control tools such as GitHub
• Experience working in AWS environment primarily EMR, S3, Redshift, Athena, etc preferred
• Experience with data warehouses/RDBMS like Snowflake & Teradata
• Ability to cleanse, curate, and manipulate data; as well as visualize and story-telling the results of an analysis
• Clear communication and storytelling via presentations, key performance metrics, reports, and data
• Proven experience and ability to deliver results on multiple projects in a fast-paced agile environment
• Self-starter, highly organized and result oriented; and should be able to work with minimal direction