Adidas MANAGER DIGITAL ANALYTICS & SOLUTIONS 

Portugal, Porto 

1432670

:

• Databricks Development: Lead the development and management of data products and dashboards on the Databricks platform, ensuring robust data processing and analytics capabilities.
• Pipeline Creation: Design, build, and maintain data pipelines through CICD that ensure seamless data flow from various systems into the analytics environment.
• Data Availability for Power BI: Ensure that all necessary data is available and up-to-date for Power BI reports, including creating and managing the necessary pipelines.
• Data Product Development: Develop data products tailored to the specific needs of the Consumer Engagement, Competitor Intelligence, and Experience Analytics teams.
• Responsible for tools and systems daily routines & activities, refresh, updates and scheduling.

Dashboard Management and Development

• Dashboard Transition: Oversee the smooth transition of existing dashboards to the new data architecture, ensuring minimal disruption and data consistency.
• New Dashboard Solutions: Collaborate with business stakeholders to gather requirements and develop new dashboard solutions that meet their analytical needs.
• CX Clickstream Integration: Integrate Customer Experience (CX) clickstream data into new reports, ensuring alignment with global definitions and standards.
• Membership KPIs Reporting: Lead efforts to develop comprehensive reports on membership KPIs, supporting the Consumer Engagement team.
• Maintain quality, set good development practices, and define standards that keep the focus on the right things.

Automation Initiatives

• Report Automation: Lead efforts to automate recurring reports, reducing manual effort and improving accuracy and timeliness.
• PPT Automation: Develop automation solutions for PowerPoint presentations, streamlining the process of generating and updating slides with the latest data.

Quality Assurance and Best Practices

• Data Quality Assurance: Implement rigorous quality checks and monitoring to ensure the accuracy and reliability of data within pipelines and dashboards.
• Best Practices: Advocate for and implement best practices in data engineering, analytics development, and stakeholder management to drive efficiency and effectiveness.

Collaboration and Leadership

• Team Collaboration: Work closely with data engineers, analysts, and BI developers to ensure cohesive and integrated solutions across functions.
• Mentorship: Provide guidance and support to junior team members, fostering a culture of learning and continuous improvement within the Data Solutions team.
• Cross-Functional Engagement: Collaborate with IT, marketing, finance, and other departments to ensure that data solutions align with broader business objectives.

Databricks Migration

• Migration Planning: Outline detailed plans for migrating existing jobs and Dashboards to Databricks, including timelines, resource allocation, and risk management strategies.
• Execution: Execute the migration by identifying dependencies, updating existing data sources, ensuring compatibility with the new environment, and performing quality control.

Stakeholder Engagement

• Requirements Gathering: Work closely with business stakeholders to understand their needs, translating them into technical requirements and actionable development plans.
• Continuous Communication: Maintain regular communication with stakeholders to provide updates on project progress, gather feedback, and adjust plans as necessary.
• Build a strong internal and external network, assorbing from the adidas Digital Analytics community the latest trends and technological advances.

Key Relationships:

• EM Hub e-com team
• EM Function teams (Finance, DNA, Brand, Sales, SCM…)
• Country-Clusters (C/C) e-commerce teams
• Country-Clusters (C/C) market teams & group functions
• Global Data Digital teams
• Global BI & Analytics teams
• External vendors

• 5-7 years of experience of experience in data engineering, with at least 2 years in a managerial role.
• Strong expertise in Databricks, Power BI, and data pipeline development.
• Experience with dashboard development and transition in a large-scale enterprise environment.
• Experience with Advanced Analytics Tools/ language (Python and SQL)
• Experience with Analytics Blending & Visualization Tools (PowerBI, Tableau, MicroStrategy, Alteryx, SQL…)
• Proven ability to automate data processes and reports, including PowerPoint presentations.
• Excellent communication and stakeholder management skills.
• Strong problem-solving abilities and attention to detail.
• Experience mentoring and developing junior team members.
• Industry: Ideally in apparel/fashion/shoes or internet

:

• Broad understanding and passion for Data Engineering, Digital and e-com
• Understanding of multi-platform e-commerce
• Deep knowledge of Digital and e-com analytics
• Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels
• Excellent communication & negotiation skills, comfortable presenting complex topics to technical and non-technical audience both in person and remotely at various organizational levels
• A passion for designing and creating new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design.
• Meticulous, high attention to details
• Creative and energetic team player who has a passion for delivering analytics, data, insights to drive outcomes for quantifiable improvements in business results and consumer satisfaction.
• Outspoken and Confident

:

• Cloud Platforms: Databricks/GCP (Google Cloud Platform)/Azure/AWS
• Programming and Scripting: Python/PySpark
• Database and Data Management: SQL Server
• Data Visualization and Reporting: Power BI, Excel, PowerPoint
• Automation and Testing: Selenium (Good to have)
• Project Management: JIRA, Smartsheet
• Analytics and Marketing Tools: Adobe Analytics, Amplitude, Google Analytics (GA), AppsFlyer
• Project management skills, including the ability to lead projects or work on several projects simultaneously.
• Fluent English both verbally and written