Intern supporting Digital Data Science and Analytics team at adidas. Engaging in data analytics tasks, project contributions, and collaborating on insights generation.
Responsibilities
Support the delivery of analytics services by assisting in areas like data collection, mining, and analysis to generate fact-based insights.
Contribute to assigned projects, participating in tasks related to analytics implementation and database integration.
Support the implementation of reporting structures for effective insights communication.
Apply techniques for data analysis, design, and modeling to establish or modify data structures.
Utilize various visualization techniques to create effective data visuals.
Operationalize and automate activities for efficient production of data visuals.
Contribute to exploration and experimentation in data visualization trends and technologies.
Requirements
Student of Business, Engineering, Data Analytics, Computer Sciences or equivalent
Excellent problem solving and analytical skills in combination with a strategic way of thinking
First experiences in project management beneficial
Strong written and verbal communication skills
Hands-on working style to get things done, ability to work under pressure to meet critical deadlines
Agile, open-minded team player with a passion for sports and lifestyle
Eagerness to continuously improve oneself and to further develop own skills
Fluent in English
Affinity to digital tools
Strong MS Office skills (especially PowerPoint and Excel)
Proficiency in SQL and/or Python and PowerBI
Benefits
Employee discounts on products
Chances to attend and take part in on campus events and sponsored adidas events/games
Structured training and development, access to LinkedIn Learning, Language Training and adidas Learning Portal
Possibility to join our mentorship program, networking opportunities or employee resource groups
International intern community and work environment
Regular development conversations as part of your role
Inspiring campus with canteens, cafes, reflection rooms and sport facilities including an on-site gym (free)
Company events focusing on sports and mental health
Flexible and agile working arrangements (40% home office possible)
Senior Data Scientist for the CDC analyzing data and building forecasting models using Python and SQL. Collaboration with engineering and data teams for effective demand forecasting.
Analista de Produto atuando na gestão do portfólio de produtos de seguros na Youse Seguros. Contribuindo para a evolução das ofertas e experiência do cliente com foco em resultados.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Lead Data Scientist developing AI/ML solutions for Disney's media supply chain. Collaborating globally to drive innovation in complex media challenges.
Lead Data Scientist guiding AI innovation for Humana, developing AI systems to improve healthcare outcomes. Collaborating with teams to create interpretable and reliable AI solutions.
Data Scientist at Capital One creating machine learning models for customer management. Collaborating with teams to deliver insights from large datasets to enhance customer decisions.
Lead analytics strategy for Mastercard's digital products, driving business growth and data - driven decisions by collaborating with global teams and stakeholders.
Lead Data activities for North and South America at Air Liquide. Manage a team responsible for data strategies, conversions, and integrations in global ERP programs.
Data Scientist role at Novartis supporting biopharmaceutical development through data and statistical sciences. Aiming to optimize development processes with data flow management and insights.