Commercial Insights Analyst - REF # 1908410

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Job Title : Commercial Insights Analyst - REF # 1908410
Location : Cape Town, Western Cape, South Africa
Salary : Not Specified
Posted On : Friday August 23, 2019
Apply Before : Sunday September 22, 2019
Job Type : Full-time
Education Not Specified
Experience : 1 year - 3 years
Career Not Specified
Job Category : Administrative

Job Description

Your core role will be to create commercial & strategic value by sourcing and aggregating disparate sources of data, transforming this through analytical techniques into dynamic and commercially oriented insights. You must possess a Degree with Maths/Stats/Actuarial Science, etc., 2+ years’ experience working with applied data mining, manipulating & analysing data using SAS, SQL, SAS Macros & other data analysis tools to analyse large datasets & data architecture.


Set up structures to build and develop new analytical competencies in the business.

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

The 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.


Qualifications –

BSc./B.Comm/Humanities Degree with Mathematics/Statistics, Actuarial Science, Economics, Engineering.

Experience/Skills –

Minimum of 2 + years working experience of applied data mining (preferably in disciplines such as Credit Risk, Financial Services, Retail, Marketing and Fast-moving consumer goods).

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.

Knowledge of statistical and mathematical models and methodologies.

Database architecture, i.e. understanding of database and data warehouse concepts and functions.

Able to draw data from systems and do analysis on information retrieved.

Quality control of output data.

Compile reports based on information retrieved and analysed.


Strong analytical, problem solving and conceptual thinking.

Planning and organisational skills.

Must be able to work to, and manage, deadlines.

Attention to detail and commitment to delivery is vital.

Successfully convey findings and ideas through well written presentations and proposals.

Ability to effectively collaborate across different departments.

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