Adidas ASSISTANT MANAGER DATA & ANALYTICS 

Canada, Alberta, Calgary 

231671788

Department: Finance

Director Reporting Line: Director Data & Analytics

Indirect/Secondary Reporting Line: -

GSMS Grade: P1

Data & Analytics

• Develop data analysis / reporting (regular and ad hoc) to meet cross-functional requirements (in collaboration with cross-functional business users)
  • Develop new report/dashboard for key initiatives and projects
  • Consolidate multiple business questions and develop solutions with business logic
  • Data visualization and to provide data insights
• Enhance organization’s overall data capabilities and use of data (including supporting the development of additional data sources, analytic capabilities, or IT tools as required)
• Ensure data accuracy and on time delivery

Processes: Data Analysis

• Collect and synthesize data from existing systems and sources
• Identify and support new data collection requirements (as required)

Processes: Decision-support tools

• Turn ad hoc technical analyses into reusable, user-friendly models, reports, and tools
• Train and support business users to use tools themselves on an on-going basis

Training

• Provide trainings to key & end users for basic understanding of BI tools and report definition across teams.
• Maintain training materials

Others

• Special projects: Engage on major cross-functional projects (as required)

Knowledge, Skills and Abilities:

• Advanced data and analytic techniques – experience with and expertise in large dataset manipulation and data mining.
• Solid business sense and critical-thinking ability – able to solve problems using both conventional judgment and ad-hoc analysis.
• Experience in business intelligence concept & tools, e.g. Power Query/Pvt/BI, Databricks, etc. SQL & Python knowledge preferred.
• Proactively defines goals and attacks them with creativity.
• Willingness to learn about all aspects of the business.

Requisite Education and Experience / Minimum Qualifications:

• At least 2-3 years’ experience in business reporting and analysis in multinational companies.
• Experience with a global consumer goods brand, modern retailer, or market research firm.
• Familiar with big data ecosystem.
• University degree or above, major in Math/ Statistics or other business-related qualification preferred.
• High proficiency or expertise with database, statistical and business intelligence systems (e.g., Databricks, Power BI, Tableau, SAS, SPSS, R, Python).
• Strong communication and interpersonal skill
• Fluent written and spoken English and Mandarin.