MANAGER BUSINESS INTELLIGENCE

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine.
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Simply click APPLY ONLINE and follow the steps to upload your application." }] } Manager Business Intelligence Skip to main content Menu Back Close This is PUMA About Puma OUR STRATEGY Our Sports Football and Other Teamsports Track and Field Motorsport Golf Basketball Our Management History Archive Stories Newsroom News Images and Footage Media Contacts News Calendar Employee Magazine Investor Relations Share Share Price Analyst Coverage Share Buyback Shareholder Structure Voting Rights Notifications Directors' Dealings Investor News Financial Publications Calendar Capital Markets Day Annual General Meeting Our Management Corporate Governance Sustainability Contact IR Sustainability Our Approach Our Targets Environment Human Rights Codes, Policies and Handbooks Reporting FOREVER.
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rgBachelor degree in Business, Computer Science, Data Science, or a related field.
Masters degree or MBA is highly preferred.
inimum of 8 years of experience in business intelligence, data analytics, business planning or a related field, preferably in the retail sector with a focus on apparel / footwearAdvanced expertise in BI tools such as Tableau, Power BI, Looker, or similar platforms.
trong SQL skills, with experience in querying large datasets and developing complex data models.
roficient in data warehousing concepts and technologies (e.
., Snowflake, Redshift, BigQuery).
eep understanding of data governance principles, including data quality, data lineage, and metadata management.
xperience with data visualization best practices and the ability to create user-friendly, impactful dashboards.
amiliarity with cloud-based data environments and their integration with BI tools.
trong analytical skills, with the ability to derive meaningful insights from complex data sets.
xperience with advanced analytics techniques, such as predictive modelling, machine learning, or statistical analysis, is a plus.
bility to troubleshoot and resolve data-related issues, ensuring data accuracy and consistency.
olid understanding of business operations, key drivers, and financial metrics.
bility to align BI initiatives with strategic business goals and deliver insights that drive business performance.
xperience in collaborating with business leaders to identify opportunities for leveraging data to improve processes and outcomes