Commercial Insights Analyst - Pinelands, South Africa
RCS Group
Pinelands, South Africa
8d ago

Main Purpose :

  • The primary purpose of the role is to create commercial and strategic value for the Company by sourcing and aggregating disparate sources of data;
  • transforming this through analytical techniques into dynamic and commercially-oriented insights.

    Key Responsibilities :

    Actively source and champion the acquisition of Merchant, Customer, Transaction and Big Data

    Aggregation of structured enterprise and unstructured streaming data into analytical datasets

    Data mining, modelling and statistical analysis of various data sets to facilitate the creation of merchant and customer insights

    Transform analytical insights into commercially-viable reports and offerings

    Provide recommendations for management in respect campaigns to support growth strategies

    Set up experimental designs to track campaigns

    Internal and external stakeholder management

    Key Competencies : Business Acumen

    Business Acumen

    Strong analytical, problem solving and conceptual thinking skills

    Knowledge of statistical and mathematical models and methodologies

    Ability to explain complex statistical information and successfully convey findings through presentations / proposals

    Excellent attention to detail with quality control of output data

    Ability to manage and meet demanding deadlines

    Planning and organisational skills

    Ability to effectively collaborate across departments

    Minimum Requirements :

    Relevant Tertiary Degree (B.Sc / B.Comm / Humanities with Mathematics / Statistics, Actuarial Science, Economics, Engineering)

    Minimum of 2 years’ experience of applied data mining (preferably in disciplines such as Credit Risk, Financial Services, Retail, Marketing and FMCG)

    Experience extracting data from various source systems, performing analysis and providing reporting on information retrieved

    Experience manipulating and analysing data using SAS, SQL, SAS Macros or other data analysis tools for complex modelling purposes or forecasting, i.

    e. ability to perform statistical analysis on large datasets

    Understanding of data warehouse concepts, functions and architecture

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