Great opportunity for a BUSINESS INTELLIGENCE / DATA WAREHOUSE DEVELOPER to gain PREDICTIVE ANALYTICS and DATA SCIENCE experience.
in this role you will use data to provide insight and forecast likely impacts of business strategy across Marketing, Credit, Customer experience, Consumer acquisition and retention.
If you believe that you’re able to find golden nuggets in big data and you’re keen on a data-driven approach to business practice then come and join the team.
Based in CAPE TOWN this BUSINESS INTELLIGENCE ANALYTICS role offers a salary of R550K – R650K/annum.
A multi-national RETAIL BUSINESS with a massive consumer base and a track record of utilising data to formulate product development, credit decisions, marketing effectiveness, campaign ROI, consumer retention, customer experience, impactful pricing, promotion, communications and media success. A truly customer-centric and data-driven business with a great culture of excitement about the potential of data-driven innovation.
Joining an Analytics & Data Science team of 15 people, you will use a variety of statistical techniques from data mining, predictive modelling, and machine learning, to analyse current and historical facts to make predictions about future events.
You will build data models to exploit patterns found in historical and transactional data to identify risks and opportunities.
The role offers the opportunity to be trained in the latest Machine Learning, AI and Cloud Data Solutions.
A track-record working in BUSINESS INTELLIGENCE or DATA WAREHOUSE DEVELOPMENT.
Good understanding of data integration, data warehouse concepts, and ETL.
Ability to work in a Big Data environment.
A keen desire to learn about Analytics, Data Modeling and Data Science.
Statistical analysis expertise, the ability to tell stories from Data and be able to communicate with both tech-analytical and non-analytical audiences.
Technical skills in any of SQL, PL/SQL, T-SQL, SSIS, Oracle OBIEE or any similar data management tools.
Keen desire to progress your skills in (or learn) Data Science, Python, R, Machine learning, etc…
If you qualify for this role, please email your CV directly to:
021 801 5001
If you have not had a response to your application within 14 days please consider your application to be unsuccessful.