This is an excellent opportunity for a DATA WAREHOUSE / DATABASE SYSTEMS ANALYST to a leading DATA SOLUTIONS Global Company. This market-leader is a CUSTOMER ANALYTICS Company who have driven the success of many Retail and FMCG’s through advanced DATA WAREHOUSING and ANALYTICS SOLUTIONS internationally.
Based in CAPE TOWN this DATA WAREHOUSE SYSTEMS ANALYST role offers a salary of R440K – R475K/annum.
This is the world’s leading Customer Science, Data Solutions and Insight Company. They are experts in designing and implementing Data Solutions, Analytics and Insights from nearly one billion shoppers across the globe to create personalised customer experiences in digital, mobile, and retail environments. They work with a prestigious list of clients including many of the most successful Retailers and FMCG brands.
As a DATA WAREHOUSE SYSTEMS ANALYST you will work with key Retail and FMCG companies. The role involves delivering a data workplan (alongside the Data Director) to ensure delivery of a data solution that is fit to support growth. You will manage relationships with key stakeholders in IT and Data Teams. This involves data explorations and strategy reviews to understand data/systems, and helping in the planning of appropriate data platforms to support new engagements. Ultimately (and with training) you’ll serve as a subject matter expert answering complex data related inquiries, and use data expertise to articulate and recommend the best options to outline the data roadmap and resolve data issues. This will expose you to the most up-to-date Data Technologies including multi-terabyte databases, Cloud Solutions, Open-source data solutions – all with training offered by leading Data Solutions Technologists.
A DATA ENGINEERING background – degree educated in IT/Information Systems or equivalent.
Good understanding of Data Solutions, Data Warehousing Concepts, Data Integration.
Experience in Data Warehousing, Systems Analysis and Data Design.
Cloud platforms and open source technologies – Python, R, Spark, Hadoop – most useful.
Understanding of complex Big Data Integration challenges.
Data Requirements Documentation.
ETL and Data Integration of numerous data streams.
Sound Business and Commercial Acumen.
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.