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Data Scientist

Job Location: Johannesb

Regional Description: South Africa

Job Number: 00586973

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- Job description

Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.
 
Accenture Digital is powered by three practices – Applied Intelligence, Interactive, and Industry X.0. As part of our Applied Intelligence practice, you’ll help businesses deliver insight-driven outcomes in entirely new ways.
 
What responsibilities will you have?
  • Enable our clients to deliver value by architecting and handling the enterprise data supply chain
  • Develop data management strategies to help clients assess and exploit the opportunities available from both internal and external data. This helps our clients deliver the digital transformation and add shareholder value
  • Assess the client’s existing capabilities, identify desired to-be state and develop roadmaps to both deliver rapid business performance improvement, and to sustainably enhance clients’ data & analytics capabilities
  • Advise clients how to set up, develop, run, and improve an effective data management organisation both in-house and as a managed service
  • Architect, design and deliver innovative ‘on premise’ and ‘cloud based’ data management & integration solutions, taking into account industry best practices and regulatory frameworks
  • Advise clients on appropriate data governance capabilities – including the analysis, design and delivery of applications, architecture & technology solutions to manage data quality, master data, and metadata (incl. data lineage).
  • Support clients in their choice of technologies, applications and platforms to address their data needs, incl. data quality tools, MDM tools, and Data Architecture & Integration tools
  • Work closely with client representatives, Accenture colleagues and external partners throughout to deliver to agreed objectives, meet the client’s expectations and address any concerns
  • Provide mentorship and guidance to colleagues within Analytics internally and on projects
  • Experience of range of data movement, data processing and data interaction tools like Informatica, IBM, Talend, Spark, Reltio, AbInitio, Collibra
  • Hybrid analytics eco-systems including Database Management and Big Data solutions like Amazon Web Services (RedShift), Cloudera, Cassandra, HDFS, Google BigQuery, Teradata, Oracle, Netezza
  • Analytics tools like SAS, R
  • Visualisation and Reporting like Qlik, Tableau, Power BI, Alteryx, Spotfire
  • Solid hands-on knowledge of data integration techniques and processes (e.g. data virtualisation, data matching & merging, data consolidation)
  • Delivery Excellence: Full lifecycle delivery using Waterfall, Agile and DevOps practices
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Ability to take complex solutions and make them simple to explain and digest
  • Strong attention to detail

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