Sr. Data Analyst

Join adidas in Portland, OR (hybrid) to support North America business functions with expert data, analytics, and technology. In this Senior role within NAM Data & Analytics (DNA) Business Insights, you will help shape reporting and data visualization so leaders can make better decisions backed by clear, action-oriented insights.

What you’ll do

• Collaborate with business partners to create or modify reports, dashboards, planning templates, and other data and insight solutions that support a fast-moving business and improve decision-making
• Drive continuous improvement by identifying ways to enhance data quality and ensure reports, dashboards, and forecasting templates align with adidas best practices
• Apply business knowledge to ensure data is accurate, valid, timely, and clean
• Build and manage data and report distribution processes that are efficient, timely, and easy for users to work with
• Look for opportunities to streamline processes across the existing Business Insights tech stack, DBMS, and data architecture, recommending and piloting changes when appropriate
• Partner with Tech and across the DNA team to support optimum data availability and stability, including troubleshooting issues related to transfer, storage, retrieval, and calculation
• Implement current technology and best practices for data architecture, modeling, and availability
• Collaborate with Global and Market DNA teammates through partnerships and idea sharing to deliver value-adding solutions
• Lead and participate in cross-functional projects as required, including work with third-party and external partners
• Act as a data change-agent across the organization

Required experience and skills

• 5-7 years of proven experience in several areas such as data analytics, data wrangling, database management, finance, and information technology
• Proven success creating and maintaining databases, ensuring data integrity, managing data flows, and supporting data storage in an enterprise DBMS
• Expertise in reports and analysis that impact decision making at senior management level (including CEO and CFO)
• Experience leading influential projects with peers, business partners, and senior managers
• Strong communication skills, with ability to present information in writing and orally and respond to questions from senior leadership and stakeholders
• Demonstrated knowledge of BI and data exploration and visualization tools, including Power BI
• Knowledge of data architecture and modeling concepts in context of Datawarehouse, Data Lake, and/or Lakehouse
• SQL proficiency, plus MS Excel and Power Query
• Experience delivering in Agile frameworks (Scrum, Kanban) and using tools such as JIRA and Confluence (or similar)
• Ability to troubleshoot, define problems, collect and interpret data, and draw valid conclusions to solve issues
• Cross-functional thinking, including ability to join data from various sources and derive meaningful conclusions or develop innovative solutions
• Ability to work independently with little guidance across multiple projects, with a growth mindset and continuous learning in a feedback culture
• Passion for data
• Alignment with adidas core belief in the power to change lives through sport
• Bachelor or Master degree in Business Analytics or Data Analytics, with concentration in Business, MIS, Finance, or Accounting, or equivalent relevant job experience
• Retail math understanding and key business drivers (preferred)
• Understanding of data visualization and exploration concepts, including how to tell stories through data

Benefits

• Robust and progressive medical coverage, including HSA with employer funding or FSA options, plus dental, vision, prescription drug coverage, adoption and surrogate and fertility support, short- and long-term disability, and basic life and AD&D insurance
• 401k plan and Stock Purchase Plan with employer match
• Education assistance and generous leave policies, including 14 weeks of paid parental leave
• Annual bonus based on company performance
• Prorated flexible time off of .4388 hours per day, increasing with years of service
• Twelve paid holidays throughout the calendar year and Service Time Off during milestone years
• Hybrid work policy: office attendance Monday through Thursday, with flexibility to work remotely on Friday each week; Friday remote requires in-office attendance when high collaboration or in-person presentation is needed

Tools and technologies you’ll use

• Power BI, SQL, MS Excel, Power Query
• Scrum, Kanban, JIRA, Confluence
• Datawarehouse, Data Lake, Lakehouse, DBMS