SENIOR MANAGER DATA SCIENCE AND REPORTING

Key Skills

Data Analytics, Data Engineering, Data science techniques, Finance, KPIs, Leadership Skill, Management, Marketing analytics, Microsoft Office suites, Presentation skills, Project management, SQL

Job Description

Purpose & Overall Relevance for the Organization:

As a NAM Senior Manager Retail Data Science/Analytics at adidas, you are responsible for informing the adidas retail data foundation and delivering cutting-edge data to stakeholders, enabling them to make fact-based decisions.

Key Responsibilities:

Scope: Accountable for a specific digital analytics practice

• Analytics

• Collaborate with retail leadership and partners to engineer & deliver complex data solutions in retail.
• Development of best practices for data foundation capabilities and Retail projects including Data Science. Potential focus areas are:

Retail Business Performance analytics

Retail Operational Analytics

Retail Experience Analytics

Retail Marketing Analytics

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

• 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.

• 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.

• Innovation

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

People Leader Responsibilities

• 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:

• Retail Development & Strategy team
• Retail Back Office team
• Retail Fleet teams
• Commercial Partners

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 a big plus
• 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 (web, eCom, social, mobile, sentiment, paid media, SEO, SEM, CRM, SQL etc.).
• Extensive experience with visualization techniques.

• Proficient in MS Office
• 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 eCommerce environment
• Experience of digital marketing in a brand environment