Beschreibung
Role: Data Scientist/AnalystResponsibility:
The Data Scientist/Analyst will be part of the Data Science & Analytics team members The role is direct reporting to the Head of Data Science, and meanwhile will be embedded in the projects within Digital Product Team, working closely with Product Owner.
Here are some of the tasks being taken:
- Reporting development on
Campaigns Tracking
Consumer Lifecycle product core KPIs
Consumer Lifecycle stage overview
- Cross-functional Project support
reporting
user profiling
- Segmentations and profiling for personalisation – user tagging
- Purchasing behaviour profiling
- Commercial opportunities identification – we have biweekly commercial result review based on which there might be actions with markets, e.g. have a call where we identify opportunities together with markets
- Going forward – advanced insights and data science application, such as
Churn and LTV prediction
Survival analysis
Skills Required:
- Good communication skills and good stakeholder management experiences
- Experience in working in Scrum/Agile
- Highly numerate with strong attention to details
- Working experience of Power BI visualization and DAX
- SQL proficiency
- Working experience on data lake, preferably with Databricks on Azure
- Familiar with Python (pandas, numpy) and working experience on cloud based environment
- Understanding of Google Analytics, BigQuery experience is nice to have
- Knowledge of machine learning methodology and experience with implementation – a nice to have at this stage
Technical Skills:
- Experienced BI Lead with a minimum of 3-5 years in Power BI
- Experience working in an Agile team
- Hands-on experience developing Power BI artifacts across the breadth of the tool – including design, development and deployment
- Knowledge on designing Power BI Workflows
- Data modelling (dimensional modelling) and SQL Skills are compulsory
- Experience on the Azure Data platform specifically Azure Data Lake,Azure Data Bricks and Spark SQL