TF

Data Analyst: Logistics

Full-time Western Cape, South Africa, ZA
Posted 2 hours, 54 minutes ago 15 views 0 applications

Job Description

Qualifications and Experience:

  • Diploma, Graduate Degree, or Post Graduate Degree in computer science, data engineering, analytics or similar.
  • Extensive knowledge of retail supply chain processes.
  • Experience of working with warehouse management and transport management systems.
  • Data pipeline / engineering experience.
  • Oracle SQL, Python, Power BI.
  • Data visualisations – Power BI.
  • Data governance (Databricks).

 

Skills:

  • Applying practical experience to enhance understanding and application of data in a transactional environment.
  • Immense attention to detail.
  • Strong desire to deliver at speed and high customer satisfaction.
  • Clear and constructive communication to facilitate requirements documentation and product training and delivery.
  • Creating reliable data products from a vaguely defined data environment through practical validations.

 

Behaviours:

  • Commitment to high-speed technical delivery under time pressure.
  • Ability to simplify communication to non-technical audiences.
  • Ability to work on a variety of deliverables as pressures and understanding matures. (Multi-tasking).
  • Display a sense of tenaciousness to keep pursuing solutions to a new delivery problem.

 

Preference will be given but not limited to candidates from designated groups in terms of the Employment Equity Act.

#LI-NM1

Key Duties:

  • Gathering, documenting and signing off on TFG Logistics data requirements.
  • Converting data requirements to workable technical implementation specifications.
  • Developing end-to-end solutions for agreed requirements. Including data sources, conversion scripts, user accessible artifacts (Excel, IBM Cognos, Power BI and others).
  • Testing and validating code to ensure accuracy and reliability.
  • Enhancing the data-driven culture at TFG Logistics through support, training and data governance initiatives.
  • Continuous pursuit of additional skills to delivery customer needs.
  • Overcoming technical/architectural challenges to deliver new data related capabilities.
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