DATA SOLUTIONS CONSULTANT – learn from global DATA SCIENCE LEADER – Cape Town, R350K – R450K

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Location: Cape Town (Northern Suburbs) / Stellenbosch Salary:ZARR350K - R450K/annum Category: , , , , Consultant: Gary Silbermann


This is an exceptional opportunity for a DATA professional to join one of the most influential GLOBAL DATA SCIENCE Companies – this company has been at the forefront of DATA SOLUTIONS providing Insight & Analytics to the most successful businesses internationally.

Based in CAPE TOWN, (Northern Suburbs), this DATA SOLUTIONS CONSULTANT role offers a salary of R350K – R450K/annum.

This is the world’s most successful DATA SCIENCE Company; a global market leader providing Data Solutions, Data Warehousing, Consumer Insight and Analytics, Loyalty Card Solutions and Consumer-centric Data technologies. Operating across numerous countries this business looks at the behaviour of 1 Billion Consumers daily.

As a DATA SOLUTIONS CONSULTANT you will be assigned to work on key South African Retail and FMCG clients. The role involves delivering a data workplan alongside the Regional Data Director to ensure delivery of a data solution that is fit to support the growth of the local clients. You will manage relationships with key stakeholders in their 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 data sets, Cloud Offerings, 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:
Gary Silbermann
021 801 5001

If you have not had a response to your application within 14 days please consider your application to be unsuccessful.

If you qualify for this position please use the apply form below or call Gary Silbermann on 021 801 5001

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