Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $89,800.00 in our lowest geographic market to $177,200.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

WHO YOU’LL WORK WITH

The Digital Loss Prevention (DLP) team are experts at identifying fraud, abuse and systematic loopholes that result in financial losses in North America. They work as a team to deliver solutions that protect profit and reduce friction for our members to maximize investment in the business and deliver the best possible product to consumers. This role will report to the DLP Analytics manager and work closely with the DLP Quality Assurance and Fraud Insights team.

WHO WE ARE LOOKING FOR

We are looking for a Business Intelligence Data Analyst to join the NA DLP team. You will be expected to be a self-starter and an agile problem solver with comfort and curiosity in leveraging experience to solve complex data problems and learning new techniques as required.

The ideal candidate takes ownership in all 3 phases of great data work: technical excellence in writing efficient code/pipelines, implement strong data visualization principles to aim at business questions, turn information to insight and communicate to technical and non-technical stakeholders.

• Bachelor’s degree in data science, statistics,  math, computer science, business analytics or related field. Will accept any suitable combination of education, experience and training

• 2+ years of experience synthesizing insights from data

• Highly Advanced knowledge of SQL and relational databases; experience with concepts such Window Functions, Complex Joins, PIVOT/UNPIVOT, query optimization etc.

• Strong understanding of data visualization principles and experience in with at least one dashboarding tool (Tableau, Power BI, Looker etc.)

• Demonstrated ability to build self-serve tools for technical and non-technical stakeholders that answer common questions and/or increase data literacy across the organization

• Ability to design metrics that help evaluate the health of the business and the success of our team, including any ETL development needed

• Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven and data-supported way

Preferred Qualifications

• Familiarity with Python/R for scripting, predictive and descriptive modelling, and data visualization

• Experience with Tableau; including optimizing published work in tableau server

• Familiarity with data warehousing tools Databricks and/or Snowflake

• Experience in Fraud, DLP or digital commerce analytics

• Background with analytics tools (Spark, Git, Jupyter) and cloud computing platforms (AWS preferred)

WHAT YOU’LL WORK ON

This role will provide support for Nike Direct Digital Loss Prevention in North America. You will use data to reduce risk from abusive customers and reduce friction and inefficiency throughout Nike Direct to all consumers. You will be encouraged to learn and deliver insights and solutions to improve operational efficiency.  You will be considered a SME within the department and will be able to provide mentorship and assistance to internal and cross-functional teammates. You will be comfortable with end-to-end ownership of accurate and agile data products/dashboards and working in ambiguity to solve open ended business problems with all available Nike data sets

We 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 Candidate Accommodation Request Form.