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Data Analytics Consultant – PWC NAMIBIA

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Job Description & Summary:

As an Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner – verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm’s code of ethics and business conduct.

Duties:

  • Support the design and development of an analytical solution;
  • The ability to rapidly code functional prototypes, review code and develop marketing materials is an advantage;
  • Must be able to interface with several stakeholder groups;
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients; and
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients.

Requirements:

  • Preference given to Namibian citizens;
  • Bachelor’s Degree in Computer Science, Information Technology, Business, Engineering, Data Engineering, Mathematics, Accounting, Economics or any related field;
  • 1-3 Year’s prior work experience in a similar position and/or industry will be advantageous;
  • Some knowledge/experience in:
    • Data Storage Technologies (i.e. SQL, Oracle, NoSQL, Hadoop, MSFT Access, etc.);
    • Data Manipulation and Analysis Languages (i.e., R/SAS, Python, Java, etc.);
    • Visualization Technologies (i.e. Tableau/Qlikview/Power BI, Advanced Excel).
  • Flexible mind-set and comfort with multi-tasking; and
  • Experience with data architecture, data modelling and relational databases.

Closing Date: 11 April 2022

The company ONLY accept application vis their career portal. Interested candidates can apply through the link below:

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