Responsibilities

• Co-own data management strategy – define the way we collect, store, maintain and automate commercial data sources and assess improvement potential for the existing strategy
• Conduct periodic data quality checks
• Own and maintain existing commercial reporting landscape; assess automation and harmonization potential and align with commercial stakeholders on their reporting needs
• Based on the assessment, transform the existing reporting into PowerBI dashboards; develop new reports if needed
• Use tools like Alteryx and Azure Databricks to prepare data for analytics use cases
• Work with commercial teams and translate their strategic business questions into analytics use cases
• Lift and shift, tailor and run existing sDNA/cDNA data science models – Python/R based
• Translate the results of the models into business recommendations and impact
• Act as a data and analytics evangelist, be at the forefront of data-driven models and insights and lead others to leverage data in their decision making

Qualifications

• Excellent analytical skills with a natural ability to visualise data in a way that uncovers (new) insights
• Ability to process and work with large and diversified datasets
• Strong experience in Power BI – Backend/Frontend
• Previous experience with data preparation tools like Alteryx and Azure Databricks
• Experience in Databricks and Python/Pyspark – Should be able to perform an ETL transformation of a mid-large scale dataset
• Previous experience with data visualization tools – preferably MS PowerBI
• Good to have knowledge of R/understanding and running simple machine learning models/SQL but not mandatory
• Attention to detail, accuracy and ability to work towards tight deadlines
• Intellectually curious, with an interest in how analytics can be leveraged to derive business value
• Effective verbal and written communication skills
• E2E project management experience is preferable – i.e. from collecting/understanding business requirements through development to implementation and evaluation

Differentiating Competencies Required

• Developper / Data Engineer / Data Analyst background
• Top tier business intelligence / reporting / visualization skills
• Complete understanding of BI reporting platforms
• Comfortable with syndicated data analytics (especially Retail Panel) and statistical modeling
• Solution-oriented approach to problem solving / Creative with “hacking” mind-set
• Ability to challenge requests in a constructive way that does not damage relationships or slow progress
• Strong analytical thinking with proven ability to connect data & to digestible representations to generate insights