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Adidas MANAGER DIGITAL ANALYTICS & SOLUTIONS 
Portugal, Porto 
1432670

06.09.2024

:

: e-commerce

Direct Reporting Line: Senior Manager, Digital Analytics & Solutions, EM e-com

Secondary reporting line: Sr Director, Planning and Analytics EM e-com

: EM Hub

Location:Gurugram (India)

Number of Personnel Managed: -

Cost Center/Budget and/or Revenue Responsibility: EM


:

  • 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