• Working closely with the Data & Analytics Product Manager, Business Analysts, Data Scientists, and Data & Analytics Engineering team to build insights and products that provide business opportunities and areas of improvement. You will translate business challenges and opportunities into analytics and insights for the business or data and analytical products that create an impact.
• Engaging with the business and facilitating data storytelling and insights as part of agile sprint sessions. You will map the insights and deliverables to priority and time constraints.
• Collaborating closely with function area users across the organization to understand use case requirements and ensure that solutions align with business needs and Pandora's strategy.
• Creating and maintaining the logic and processes to support trustworthy and efficient consumption of business data.
• Investigating data sources across enterprise and expanding existing search data infrastructure, identifying opportunities to expand modelling.
• Identifying, developing, managing, and executing analyses to uncover areas of opportunity and present written business recommendations.
• Developing and implementing data strategies, data quality assurance and data operating model aligned with the D&A Strategy.
• Conducting data assessments and audits to identify new target and opportunities for improvement.

• Bachelors (or relevant work experience) in a quantitative discipline like Computer science, Statistics, Mathematics, engineering etc.
• 3+ years of professional experience in business intelligence, data modelling and advanced business analytics. 2+ years of SQL and experience with efficient processing of large data sets.
• Experience in data analysis and visualization, using tools such as SQL, Python, R, Tableau, or Power BI. Experience in data mining and using databases in a business environment with big data technologies and large-scale, complex datasets. Prior experience with Microservice, Data pipelines and Event Driven architecture is a plus.
• Experience in designing and building data infrastructure/automated reporting tools.
• Ability to give definition to ambiguous problems, as well as to work independently.
• Strong problem-solving skills, analytical mindset, and stakeholder management skills.
• Engligh fluency at a professional level, both verbal and written.
• Experience planning and executing in an agile framework would be a plus.
• Demonstrated ability to build a story around the data and convey the findings of the analysis to several stakeholders.
• Strong team player who takes ownership, and ultimately focused on delivering results with high standards.