Knowledge of statistical packages (R, SAS, SPSS, Python etc.)
Knowledge of BI reporting tools (Power BI, Tableau, QlikView)
Experience in statistical and machine learning modelling techniques
High level of computer literacy (advanced MS-Excel and SQL)
2+ years of work experience as a Data Analyst, Quantitative Analyst or Data Scientist
Responsibilities:
Perform analyses, provide insights, and build predictive models that will assist with sales, distribution,and general marketing analytics.
Expand the suite of automated analytical/KPI reports used by clients of the Marketing Data ScienceHub team (relating to lead volumes, call centre metrics, campaign performance etc.).
Be an enabler of performance marketing, i.e. perform analyses, provide insights, and build predictivemodels that will assist with:
Client segmentation and ideal client identification.
Development and implementation of targeted marketing strategies.
Optimisation of call centre operations.
Source and provide customised data to the business.
Guide business stakeholders in what data to extract.
Improve processes and databases where opportunities arise.
Interpret and disseminate information via reports and publications.