adidas

Senior Manager, Data and Analytics

adidas

full-time

Posted on:

Location Type: Office

Location: Bogota • Colombia

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

Python

About the role

  • The Senior Manager Data & Analytics plays a key role in building and managing a team of Data Analysts to gain data efficiencies through automation and insight that can drive predictability within X-Functions.
  • Responsible for building statistical models that will help us move into, not only the predictive space, but also into the prescriptive space.
  • Analyse and automate manual processes by leveraging the technology stack.
  • Recommend best practices on how to best automate processes.
  • Process, clean, and verify the integrity of data used for statistical models and analytics.
  • Partner with Global DNA team to create, maintain, and execute the team’s roadmap, objectives, and key commitments, through the evolution of our technology stack.
  • Drive partnerships with 3rd party vendors and outside partners.
  • Design and develop premium technical solutions for X-Function.
  • Be a Subject Matter Expert in the areas of predictive analytics, statistics, data visualization, and iterative modelling processes.
  • Provide expert technical advice and guidance to project team members and stakeholders.
  • Contribute positively to our team’s mission, visions, and values.
  • Cooperate with the Local and Global TECH organizations on the conception, design, and implementation of standardized data solutions.

Requirements

  • Bachelor’s degree in Computer Science, Math, Statistics, Business Finance, Accounting or another relevant program is required.
  • A Master’s degree in Business Administration, Computer Science or related IT fields is desirable.
  • 8+ years of related experience working with Business Analytics and Business Intelligence strongly preferred.
  • 3+ years Predictive Analytics and Data Process Automation experience preferred.
  • 5+ years as people manager.
  • Experience in data processes automation through scalable and repeatable processes.
  • Develop predictive models using Python, R, or using statistical platforms such as SPSS.
  • Experience with MicroStrategy or Power BI is preferred.
  • Experience with SAP HANA or Exasol is preferred.
  • Data preparation and munging with a variety of relational and non-traditional data sources.
  • Requirements gathering, communication with users and stakeholders to understand opportunities and needs.
  • Experience with predictive application performance monitoring, capacity planning and tuning for multiple members on multiple projects.
  • Write scripts to do exploratory data mining that can then be communicated or translated to users for model development.
  • Develop, support, migrate and refactor automated, streaming input to models.
  • Solve stakeholder’s challenges by translating the meaning and impact of data, and communicating the story that the deliverable tells or the problem that the deliverable solves.
Benefits
  • At adidas, we strongly believe in diversity, equity, and inclusion (DEI) within our culture.
  • Foster a culture of inclusion that engages our employees and connects our brand with consumers.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
predictive analyticsdata process automationstatistical modelsdata visualizationdata preparationPythonRSPSSMicroStrategyPower BI
Soft Skills
team managementcommunicationcollaborationproblem-solvingstakeholder engagementleadershipanalytical thinkingstrategic planningadvisory skillsinsight generation
Certifications
Bachelor’s degreeMaster’s degree in Business AdministrationMaster’s degree in Computer Science