• University degree in data science or analytics, statistics, business or related field.
• 5+ years’ experience in data analytics.
• Proficiency in data analysis tools (e.g. DAX, SQL, Python, R), data visualization software (e.g. Power BI) and modelling tools (e.g. Tabular).
• Basic knowledge of Cloud Data Architecture & Lakehouse.
• Very high data affinity, strong analytical and problem-solving skills.
• Outstanding communication, enabling effective collaboration with stakeholders at every level.
• A strong passion for providing data-driven insights and recommendations to continually enhance consumer satisfaction and drive business performance throughout the organization.
• Sporting goods industry experience is a plus.

• Design, build, and apply visual tools based on partner requirements to provide insights to operational partners and support strategic discussions with key internal and external stakeholders.
• Create and automate reporting and insights at scale to inform and influence business decisions, deploying quantitative research, causal inference, and predictive models to optimize drivers of growth and performance.
• Document and communicate systems/analytics changes to the business, translating complex functionality into business-relevant language.
• Collect, analyze, and interpret large datasets to provide actionable insights, develop and maintain dashboards and reports using tools like PowerBI, or similar.
• Monitor and analyze key performance indicators (KPIs) to identify trends and opportunities, ensuring data quality and integrity through regular audits and validation.
• Drive analysis of planning and operational performance data to identify key insights and opportunities to improve business decisions.
• Apply expertise to collaborate with key partners, understand requirements, drive knowledge into action, and support data-driven decision making.
• Develop and implement data analytics strategies that align with business goals and drive performance improvements.

• University degree in data science or analytics, statistics, business or related field
• minimum 5 years’ experience in data analytics
• Proficiency in data analysis tools (e.g. DAX, SQL, Python, R), data visualization software (e.g. Power BI) and modelling tools (e.g. Tabular)
• Very high data affinity, strong analytical and problem-solving skills
• Outstanding communication, enabling effective collaboration with stakeholders at every level
• A strong passion for providing data-driven insights and recommendations to continually enhance consumer satisfaction and drive business performance throughout the organization
• Independent way of working combined with a high level of self-motivation
• Sporting goods industry experience is a plus

• Design, build, and apply visual tools based on partner requirements to provide insights to operational partners and support strategic discussions with key internal and external stakeholders
• Create and automate reporting and insights at scale to inform and influence business decisions, deploying quantitative research, causal inference, and predictive models to optimize drivers of growth and performance
• Document and communicate systems/analytics changes to the business, translating complex functionality into business-relevant language
• Collect, analyze, and interpret large datasets to provide actionable insights, develop and maintain dashboards and reports using tools like Power BI, or similar
• Monitor and analyze key performance indicators (KPIs) to identify trends and opportunities, ensuring data quality and integrity through regular audits and validation
• Drive analysis of planning and operational performance data to identify key insights and opportunities to improve business decisions
• Apply expertise to collaborate with key partners, understand requirements, drive knowledge into action, and support data-driven decision making
• Develop and implement data analytics strategies that align with business goals and drive performance improvements

·       University degree in Computer Sciences or a similar field of studies

·       3 years of experience in Azure environment. Ideally accomplished Databricks Certified Associate Data Engineer or DP-203: Microsoft Azure Associate Data Engineer.

·       Strong understanding of Azure BI Services and work experience on data ingestion and transformation workflows using PySpark on Databricks and ADLS Gen2.

·       3 years of previous coding in Python; Pyspark; Spark SQL and T SQL

·       Good skills in DAX (using DAX Studio, Tabular Editor)

·       Very high motivation in helping/guiding teammates to succeed in projects

·       Fluent in Business English

PUMA’s BI Team is in the process of moving “Puma Data Warehouse” to Azure Cloud, so we are implementing Microsoft’s best practices (Enterprise-Scale for Analytics and AI deployed in “Data Landing Zone).

·       Design and Implementation of scalable data pipelines using Azure Databricks & Apache Spark (PySpark) to handle diverse data sources (CSV, Parquet, Delta Table).

·       Implementing Medallion Architecture (Bronze, Silver, Gold layers) and quality control of the schema using Delta Lake characteristics such as schema enforcement, schema evolution and ACID transactions.

·       Building prototypes for PUMA Solution Architects in technological areas of Apache Spark, ETL pipelines using Databricks Autoloader and Delta Live Tables.

·       Extension of BI tabular cube solutions using star schema data modeling