Manager Data & Analytics – EM

Manager Data & Analytics – EM

I. General Purpose

As a Manager Data & Analytics, you will have to effectively cross-collaborate with multiple stakeholders and you are responsible for delivering cutting-edge analytics services to stakeholders and enable them to make fact-based decisions.

To be successful in this role you will have to acquire a good understanding of the Emerging Markets business needs, processes, ways of working and how to incorporate them into the Global technology available, to deliver best in class analytics, data solutions and process design. In this role you will have the chance to further develop and apply your technical and analytical skills on top of the newest technologies.

II. Key Responsibilities

1. Data & Analytics

• Contribute to continuous development of analytical, data and platform solutions which are aligned to global frameworks and with a focus on Emerging Markets data needs, analytics platform harmonization towards global standards and Emerging Markets nuances.
• Manage demand for insights and analytics. Conduct collection, tracking, mining and analysis of data and the generation of fact-based insights using multiple data sources.
• Provide analytical and technical services to stakeholders within Emerging Markets.
• Execute assigned projects in areas such as analytics implementation, database integration, data management, data quality, data harmonization, etc.
• Support the implementation of strategies for data accessibility, management, quality, and the overall availability of data.
• Present and promote analysis results and insights to colleagues at all levels, including senior stakeholders, in a way that allows them to understand the value of your work, apply your output, and realize business potential.
• You see opportunities and provide solutions for data process enhancements and automation.

2. Consulting

• Takes responsibility for understanding business users requirements, collecting data, delivering analysis and problem resolution.
• Identifies, evaluates, and recommends options, implementing if required.
• Collaborates and facilitates with stakeholder groups, as part of formal or informal consultancy agreements. Identify business gaps and come with solutions towards a more efficient way of working
• Seeks to fully address users needs, enhancing the capabilities and effectiveness of users, by ensuring that proposed solutions are properly understood and appropriately exploited.

3. Reporting

• Co-initiate and help implement new reporting structures or refine existing structures within your area of responsibility in alignment with Market and Global Analytics Frameworks and Data Governance.
• Help distill best practice guidance from other markets and other adidas stakeholders to maximize the use of analytics capabilities within Emerging Markets.
• Take ownership of business intelligence by providing self-service reporting solutions to other teams as well as creating awareness of the state of the business by highlighting key focus areas to senior management.
• Investigates operational needs and problems, and opportunities, contributing to the recommendation of improvements in automated and non-automated components of new or changed processes.
• Drive acceptance tests in order to assure that market requirements and sync with business needs

4. Innovation

• Build a strong internal and external network and contribute to the growth and development of the Emerging Markets Analytics community.
• Deliver a state-of-the-art analytical services that will result in a data savvy and driven organization.

Key responsibilities summary:

• Building Data Products, Analytics solutions, BI and Reporting tools
• Coaching and training around analytical products and solution
• Product Owner and POC for Business application, management and maintenance

IV. Key Relationships:

• Data & Analytics Organization (DNA)
• Emerging Markets business functions (SCM, Finance, Brand Marketing, eCom, Business Development, Wholesale/Retail)
• Local and Global IT

V. Requirements

1. Education & Professional Experience

• University degree in the field of Business, Information Technology or equivalent
• >5 years of experience in data management and analytics
• Proficient spoken and written command of English is a must
• Experience in working in a diverse and global team preferable

2. Hard and Soft-Skills

• A passion for delivering data-based recommendations for quantifiable improvements in business results.

• Experience with analytics tools and disciplines (SQL, Python, database management ..) and with BI tool management (Microstrategy, PowerBI, Tableau .. – Power BI knowledge preferred).

• Advanced technical statistical methods and analytic techniques – experience with and expertise in:
  • Large dataset manipulation and data mining.
  • Statistical analysis in business context: regression, predictive modelling, segmentation/cluster analysis, etc.
• Project management skills, including the ability to lead projects or work on several projects simultaneously
• Solid business sense and critical-thinking ability – able to solve problems using both conventional judgment and ad-hoc analysis
• Mature and credible interpersonal skills– able to quickly build trust among all management levels and act as an influencer across the organization.
• Entrepreneurial – proactively defines goals and attacks them with creativity.
• Willingness to learn – a drive to learn about all aspects of the business and develop general management competency.
• Strong communication skills, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely.