DATA MANAGER – gain DATA SOLUTION EXPERTISE with leading Global Data Analytics Consultancy – CAPE TOWN, R400K-R450K/annum

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Location: Cape Town (Northern Suburbs) / Stellenbosch Salary:ZARR400K - R450K/annum Category: , , , Consultant: Gary Silbermann


This is an excellent opportunity for a DATA MANAGER to join a hugely successful Global DATA ANALYTICS & CONSUMER INSIGHTS CONSULTANCY with a rapidly growing presence in the South African and Africa markets.

Based in CAPE TOWN this DATA MANAGER role offers a salary of R400K – R450K/annum.

Regarded as the world’s leading DATA SCIENCE COMPANY this ANALYTICS & CONSUMER INSIGHTS CONSULTANCY drives success across the Retail and FMCG sectors through advanced Data and Insight Solutions to inform Customer Insight Strategies. The company service the world’s most successful Retail and FMCG businesses. Culturally this is a superb business employing leading Data professionals operating across South Africa, UK, Europe, America and Asia.

As a DATA MANAGER you will work closely with key South African Retail and FMCG businesses. The role involves delivering a data workplan alongside the Data Director to ensure delivery of data solutions that is fit to support the growth of these businesses. Along with the technical data management tasks you will also 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 excellent training) you’ll serve as a subject matter expert answering complex data related inquiries, and use your data expertise to recommend the best options to outline the data roadmap and resolve data issues. This role will expose you to the most up-to-date Data Solutions and Analytics Technologies including multi-terabyte data sets, Cloud Offerings, Open-source data solutions – all with training offered by leading Data Solutions Technologists.

Degree educated in IT/Information Systems or equivalent.
Good understanding of Data Warehousing Concepts and Data Integration.
Experience in Data Warehousing, Systems Analysis and Data Design.
Cloud platforms and open source technologies – Python, R, Spark, Hadoop – will be an advantage, but not essential.
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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