Epic Data Analyst - Cape Town, South Africa - City of Cape Town

City of Cape Town
City of Cape Town
Verified Company
Cape Town, South Africa

1 week ago

Thabo Mthembu

Posted by:

Thabo Mthembu

beBee Recruiter
Description

ELIGIBILITY
Internal and External


CLOSING DATE

REFERENCE NUMBER
SS 06/24 ext


SALARY
Basic Salary R p.a.


DEPARTMENT
EPIC_Safety & Security


DIRECTORATE
SAFETY AND SECURITY EPIC Data Analyst


Requirements:

EPIC, a new department within the Safety & Security Directorate,

requires a dynamic, committed and passionate applicant to fill this

position and become part of the dedicated team that will support

the Safety & Security Directorate's utilisation of EPIC as well as assist

with the Directorate's Digital Transformation journey.

This is an exciting opportunity to join a small department within the

Directorate and to become part of a team committed to improving

the safety of all through the use of innovative technology.

  • A BTECH or First Degree in a relevant field with preference to data
science

  • At least 25 years' experience in data analysis or related
environment

  • Ability to analyse large data sets
  • Experience in data models and reporting packages
  • Valid driver's license
  • Competency in two Official languages of the Western Cape
(English first preference)

  • No criminal record
Key Performance Areas

  • Maintaining spatial and nonspatial attributes of database entries,
security and metadata.

  • Support initiatives for validation of data, data integrity and
normalization.

  • Compiling, analyzing and evaluating statistical data and making
written recommendations to line management.

  • Assist with the designing and maintaining data systems by utilizing
tools to interpret various datasets

  • Creating appropriate documentation that allows stakeholders to
understand the steps of the data analysis process in order to

replicate the analysis if necessary.

  • Preparing reports referring to statistical data and qualitative
information related to service delivery initiatives for the attention of

the operations manager for consideration.

  • Extracting queries to create meaningful derived information that
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