Data Analyst

Reference: 5877 MLR
Consultant: Michelle le Roux

Job Description:

  • Data Extraction
    • Define data requirements that meet the specific needs of a defined business problem
    • Draw, combine and analyse data from various sources
    • Report on information retrieved so as to provide insight into business problem and solutions
    • Use modelling techniques and tools in analysing large and/or complex data sets
    • Translate, merge, clean and/or map data into conceptual, logical and physical data models
  • Data and Analytical Presentation
    • Data presentation designed to demonstrate conclusions gained from analysing data
    • Research and offer suggestions pro-actively on data and end-result presentation
    • Develop graphs, reports, and presentations of project results
    • Perform basic statistical analyses for projects and reports
    • Create and present quality dashboards
    • Generate routine and ad hoc report
  • Data and Analytical Recommendations
    • Provide insight into business problems with pro-active recommendations on decisions and future analytical projects
    • Deliver analytical insights to a bigger audience with the intention of driving strategy
    • Document, implement, maintain and recommend operating methods to improve data processing, distribution, data flow, collection and database procedures
    • Define future data migration requirements, gathering, validating and documenting data requirements
    • Identify, develop, and document data standardization, data enrichment operations, data validations, data security requirements, and data exception handling processes


  • 3 years’ experience in quantitative analytics.
  • Good understanding of applied statistics and predictive modelling.
  • Fluency in a programming language (Python, SQL, R, C, Java).
  • Experience with data visualisation tools (GGplot, Plotly, etc.).
  • Familiarity with Big Data frameworks (GCP, Hadoop, Spark, Azure).
  • Experience in retail and credit risk is advantageous.
  • Bachelor in Business Communication or equivalent in quantitative fields (Statistics, Mathematics, Computer Science, Operations Research, Information Systems).
  • Course(s) on data profiling and data quality management.
  • Good problem assessment, decision making, communication, interpersonal skills, self-driven team player who is results driven, strives for excellence and assumes ownership of the given task.
  • Proficient in SQL or similar programmes
  • Proficient in MS Word, Excel, and PowerPoint
  • Programming skills: Adept at queries and report writing. R/Python exposure advantageous
  • Ability to present complex information in an understandable and compelling manner
  • Familiarity with basic statistical methods such as linear regression.
  • Familiarity with visualization methods such as scatter plots, time series plots and the use of percentiles for descriptive analysis
  • Strong in applied analytics using empirical data to support decision recommendations

How to Apply:

  • Email your comprehensive CV to
  • If you are already registered, please forward your CV and the relevant reference number to the consultant with whom you are currently registered in order to avoid duplicity on our system.
  • We reserve the right to only conduct interviews with candidates of choice.
  • Applicants who have not received feedback within 30 days from the closing date must please accept their application as unsuccessful.

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