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Data Analyst

Job in Johannesburg, 2000, South Africa
Listing for: Network Contracting
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Warehousing, Data Security
Job Description & How to Apply Below

SUMMARY

Brief

Description:

Are you a Senior Data Analyst who excels at turning complex data into meaningful business insights? I’m currently inviting experienced Data Analysts to apply for upcoming contract and long-term assignments across Gauteng.

POSITION INFO

Job & Role

Description:

I’m looking to connect with Data Analysts who can translate business needs into actionable data solutions, improve data quality, and enable strong data governance practices.

Key Responsibilities
  • Analyze complex datasets to identify trends, issues, and improvement opportunities.
  • Conduct root analysis and propose solutions to improve data quality, access, and management.
  • Translate business requirements into clear reporting and analytical outputs.
  • Enable Data Quality and Metadata disciplines across the organisation.
  • Provide guidance to business units on data governance best practices.
  • Support users on information management platforms and related capabilities.
  • Contribute to optimisation, clean-ups, testing, and platform enhancements.
  • Work on data and analytics projects aligned to organisational strategy.
Job Experience and Skills Required Education
  • Bachelor’s Degree, Postgraduate Diploma, or Advanced Diploma in Information Technology.
  • Microsoft Certified:
    Azure Data Associate or AWS Certified Data Analytics – Specialty advantageous.
Experience
  • 3+ years experience as a Data Analyst (Senior-level exposure preferred).
  • Strong experience working with relational databases (SQL, Oracle, Teradata, SAS).
  • Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) for data management and analytics.
  • Experience with BI tools (Power BI, Tableau, or similar).
  • Solid understanding of data structures, data quality strategies, and metadata management.
  • Experience analysing large volumes of data.
  • Exposure to the financial services or industry (strong advantage).
  • Experience with data and information management tools (e.g. Ab Initio, Metadata Hub, Express

    IT or similar).
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