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Senior Manager, Retail Analytics

Adidas
United States, Oregon, Portland
Jun 06, 2025

Purpose & Overall Relevance for the Organization:

The Senior Manager, Retail Analytics and Data Solutions will be responsible for aligning data and reporting across all of Retail. This individual will deliver information to stakeholders to enable fact-based decision making, while providing insights into the business. Data will need to be simplified, accurate and streamlined for all users.

Key Responsibilities:

1. Analytics

* Collaborate with Retail leadership and partners to engineer & deliver complex data solutions.

* Development of best practices for data foundation capabilities and Retail projects including Data Science. Potential focus areas are:

o Retail Business Performance analytics

o Retail Operational Analytics

o Retail Experience Analytics

o Retail Marketing Analytics

* Proactively contribute Retail data foundation requirements on a plan to achieve that vision.

2. Consulting

* Support analytics partners with project management and act as bridge, or single point of contact to global data science solutions

* Provide stakeholders with actionable recommendations and calls for action based on your gathered insights. Translate gathered insights into engaging, actionable and easy to digest insights presentations.

* Maintain a strong stakeholder network with high level of trust that facilitates action-ability of insights.

* Drive the implementation and use of data driven decision processes, in line with a fact-based decision culture.

* Direct training or provision of training to analytics community members on use of data sources, data processing techniques, pipeline development, and reporting / analysis best practices.

3. Reporting

* Co-initiate and help implement new reporting structures or refine existing structures within your area of responsibility in alignment with Global and NAM Retail Analytics Frameworks and Data Governance.

* Help distill best practice guidance to other markets and other adidas stakeholders to maximize the use of analytics capabilities.

4. Innovation

* Build a strong internal and external network, informing the adidas Retail Analytics community on the latest trends and technological advances.

People Leader Responsibilities

1. People Management

* Create a supportive work environment in which employees are coached, trained, and provided with career opportunities through development.

* Continuously monitor and evaluate team workload and organizational efficiency with the support of data and team feedback and make appropriate changes in order to meet business needs.

* Provide team members/direct reports with clear direction and targets that are aligned with business needs and market objectives

Key Relationships:

* Financial Planning and Analytics

* Merchandise Buying, Planning and Allocation

* Finance

* Store teams (Senior Director of Stores, Regional Directors, District Managers)

* Store Operations

* Retail Training

* Global Sales & Retail Operations teams

* Other Data and Analytics teams within the organization

Knowledge, Skills and Abilities:

* A passion for delivering data-based recommendations for quantifiable improvements in business results and consumer satisfaction.

* Very good communication skills, comfortable presenting complex topics to stakeholders at various organizational levels both in-person and remotely

* Very good presentation skills and storytelling

* People management skills are required

* Extensive experience with BI, Financial, Merchandising processes, tools and KPIs

* Extensive project management skills, including the ability to lead projects or work on several projects simultaneously

* Extensive experience with analytics tools and awareness of disciplines

* Extensive experience with visualization techniques

* Technical skills including hands on SQL query, Databricks/Lakehouse environment/ Python/R/Modelling, data processing, and visualization tools like Power Bi, Tableau

* Fluent English both verbally and written

Requisite Education and Experience / Minimum Qualifications:

* University degree in the field of Business or equivalent

* 8+ years of experience in Digital Analytics or Data Science

* Extensive experience in BI or Data Engineering environment

* Experience in leading and scaling a team is a plus

* Experience in Retail environment highly preferred


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