Assistant Manager Retail Reporting & Analytics

Adidas; Portland (OR); Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Hybrid work

Office in Portland

Job summary

Adidas NAM is seeking an Assistant Manager of Data Solutions and Analytics in Portland to support the retail data foundation and deliver cutting-edge data to stakeholders. You will maintain dashboards, ensure data quality, and collaborate with global teams to drive growth in the retail fleet.

You will participate in change management, train users on new tools, and help translate business needs into data solutions. Hybrid work policy applies with in-office presence most of the week.

Qualifications

• University degree in Business, Finance, CS, Statistics, Economics or related field.
• 2+ years of analytics, strategy, financial planning, BI, market or customer research experience.
• SQL experience required.
• Proficiency in Power BI required.
• Strong Excel skills.
• Ability to alternate between sitting and standing for long periods.
• Adidas hybrid policy: office Mon-Thu with remote on Friday.

Responsibilities

• Maintain and support retail reporting for back-office partners, fleet and store leaders.
• Create, automate and maintain dashboards and reports to ensure data accuracy and consistent reporting for retail.
• Monitor analytics and metrics to identify improvement opportunities.
• Ensure data quality and integrity by implementing data governance practices.
• Recommend and evaluate new technologies to enhance analytics capabilities.
• Collaborate cross-functionally to gather requirements and deliver data for business decisions.
• Work with global data and analytics team to maintain data sources.
• Communicate changes to stakeholders and ensure alignment.
• Assist in training sessions and support teams using new reporting tools and data solutions.
• Contribute to change management during rollout or retirement of data solutions.
• Identify trends in complex data and share results to drive data-driven decisions.
• Incorporate predictive models and machine learning to forecast business outcomes.

Skills

Data analytics

Communication

Independence

BI proficiency

Education

University degree in related field

Tools

Databricks

Power BI

SQL

Excel

Job description

PURPOSE & OVERALL RELEVANCE FOR THE ORGANIZATION

The NAM Assistant Manager of Data Solutions and Analytics at adidas is responsible for supporting the adidas retail data foundation and delivering cutting‑edge data to stakeholders, enabling them to make fact‑based decisions. This person will maintain strong relationships with the data community both locally and globally to ensure retail is developing and implementing data solutions that are continuing to drive growth in the retail fleet.

KEY RESPONSIBILITIES

• Maintain and support retail reporting for retail back‑office partners, fleet and store leaders.


• Create, automate and maintain dashboards and reports to ensure data accuracy and consistent reporting for retail.


• Monitor analytics and metrics results to identify improvement opportunities.


• Ensure data quality and integrity by implementing best practices for data governance and management.


• Recommend and evaluate new technologies and tools to enhance analytics capabilities.


• Work cross‑functionally with teams to identify business needs and gather requirements to deliver data to drive business decisions.


• Work closely with global data and analytics team to ensure retail data sources are maintained and updated appropriately.


• Effectively communicate changes and updates to all stakeholders, ensuring transparency and alignment.


• Assist in training sessions and provide ongoing support to teams using new reporting tools and data solutions, helping users build confidence and proficiency.


• Contribute to change management activities by coordinating communications, gathering feedback, and supporting transition plans during the rollout or retirement of data solutions.


• Identify, analyze and interpret trends or patterns in complex data sets and share out results to stakeholders in a timely manner to drive quick data‑driven business decisions.


• Incorporate predictive models and machine learning to forecast business outcomes.

KEY RELATIONSHIPS

• Global Data and Analytics Team


• Financial Planning


• Merchandise Buying, Planning, and Allocation


• Retail Finance Team


• Visual Merchandising


• Retail Activation and Marketing


• Store Operations


• Retail Training


• Store Development


• Retail Fleet teams (Sr. Director of Stores, Regional Directors, District Managers and Store Managers)


• Commercial Partners (Wholesale, Ecom and Omni)

KNOWLEDGE, SKILLS AND ABILITIES

• Familiarity with data and analytics platforms (Databricks highly desired).


• Familiarity with data warehouse processes and leading the execution of analytical projects.


• Excellent communication skills, comfortable presenting complex topics to stakeholders at various organizational levels both in‑person and virtually.


• Ability to work independently without direction at times.


• Strong business intelligence skills along with logical reasoning.


• Ability to support and assist in project delivery and execution on multiple projects simultaneously while maintaining a high level of accuracy Familiarity with change management principles and experience supporting training or communication activities.


• Foundational knowledge of data systems and tools, with hands‑on experience in implementing or maintaining data pipelines, ETL workflows, or integration tasks, Ability to remain agile and adapt to the needs of the business.


• Python/R skills a plus.

REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS

• University degree in the field of Business, Finance, Computer Science, Statistics, Economics, related field or equivalent combination of education and professional experience


• 2+ years of experience in analytics, strategy, financial planning, business intelligence, market or customer research


• SQL experience required
• Proficiency in Power BI required


• Strong Excel skills


• Ability to alternate between sitting and standing for long periods of time.


• At adidas we offer a hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in‑person presentation, in‑office attendance is required even on Friday.

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

adidas offers robust and progressive medical, including HSA (Health Savings Account) with employer funding or FSA (Flexible Spending Account) options, dental, vision, prescription drug coverage, adoption, with surrogate and fertility support, short and long‑term disability, and basic life and AD&D insurance. Employees are able to enroll in adidas' 401k plan and Stock Purchase Plan with employer match. Full‑time employees are eligible for education assistance and generous Leave policies including 14 weeks of paid parental leave.

Employees are eligible to earn an annual bonus based on company performance. Employees accrue prorated flexible time off in the amount .4388 hours per day that increases with years of service, twelve paid holidays throughout the calendar year and Service Time Off during milestone years.

Though our teammates hail from all corners of the world, our working language is English.