Job Description
Roles & Responsibilities
Collect, combine and analyse insights
Define indicators to ensure the measurement of results
Collect and combine external data (e.g. market trends, consumers and competitors) and internal data (e.g. channels, key campaigns and ongoing programs)
Update the database with all internal and external data and clean, maintain and enrich the database to optimize data quality
Perform (adhoc) analyses (deep dives) based on data on e.g. segmentation for B2C and B2B channels, regions and sales channels, both reactively and proactively
Develop forecasting & predictive models to generate long-term insights
Provide insights
Translate data from analyses requested by all departments into actionable recommendations for all business initiatives, e.g. the consumer journey strategy, campaign management
Assist channels in their forecasting activities & performance tracking on CRM KPIs and commercial indicators.
Standard reporting
Provide periodic reporting on key KPI's and expected developments to MT stakeholders, sales channels and HQ, e.g. data on active base, average consumption and channel preference
Complement reports with bottom-up channel views
Monitor and report relevant trends within the database and communicate them within the organization on regular basis
Provide evaluation reports of consumer experience campaigns and marketing activities
Build, automate and maintaint Power BI dashboard to monitor business performance and key CRM KPIs
WHAT WILL MAKE YOU SUCCESSFUL
Education:
University degree in Mathematics/Statistics/Econometrics/Quantitative Marketing
Professional experience:
Maximum of 2-3 years experience in Data mining / CRM / Direct Marketing
Proven competency in project management
Knowledge of Microsoft Dynamics or similar statistics package, and of SQL or other data query tools (KNIME, etc.)
Analytical experience using software tools in a business oriented environment
Preferably also:
Experience with data visualization software Power Bi
Experience in retention activities and churn risk modeling (Lifecycle of customer)
Experience with campaign management
Desired Candidate Profile
Education:
University degree in Mathematics/Statistics/Econometrics/Quantitative Marketing
Professional experience:
Maximum of 2-3 years experience in Data mining / CRM / Direct Marketing
Proven competency in project management
Knowledge of Microsoft Dynamics or similar statistics package, and of SQL or other data query tools (KNIME, etc.)
Analytical experience using software tools in a business oriented environment
Preferably also:
Experience with data visualization software Power Bi
Experience in retention activities and churn risk modeling (Lifecycle of customer)
Experience with campaign management