Data Analyst (SQL, Python) - Johannesburg - up to R500 per hour

e-Merge IT Recruitment

Johannesburg

Presencial

ZAR 568.000 - 809.000

A tiempo parcial

Hace 2 días
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Descripción de la vacante

e-Merge IT Recruitment seeks an experienced Data Analyst for a potential data and analytics engagement in Johannesburg. You will translate complex data into actionable insights, develop reports and dashboards, and support data-driven decision-making.

The role requires strong SQL, Python and R, experience with data pipelines and Azure-based integrations, and a track record of delivering reliable analytics solutions in a fast-paced environment.

Formación

  • NQF Level 7 qualification in data analytics or related field.
  • Minimum 5 years of relevant experience in data analysis or BI.
  • Strong SQL, Python and R proficiency.
  • Experience with data pipelines, ETL processes and data integration.
  • Exposure to Microsoft Azure data services and cloud-based integrations.
  • Advantageous: Power BI or Tableau experience.
  • Familiarity with Azure Data Factory, Synapse, Fabric.

Responsabilidades

  • Analyse complex datasets to identify trends, patterns, anomalies and actionable business insights.
  • Develop, maintain and enhance reports, BI dashboards and performance metrics.
  • Support the development, optimisation and monitoring of data pipelines and ETL processes.
  • Contribute to Azure-based data integrations and analytics solutions.
  • Perform statistical analysis and data modelling to support reporting and decision-making.
  • Implement and maintain data quality controls, validation and data governance practices.
  • Collaborate with technical teams and stakeholders to translate requirements into analytical solutions.
  • Ensure data accuracy, consistency and reliability across platforms.
  • Document analytical methodologies, data processes and reporting requirements.

Conocimientos

SQL
Python
R
Data analysis

Educación

NQF Level 7 qualification in Data Analytics or related field

Herramientas

Power BI
Tableau
Azure Data Factory
Azure Synapse
Microsoft Fabric

Descripción del empleo

We are seeking an experienced and analytical Data Analyst to be assessed for a potential data and analytics engagement. The successful candidate will have strong technical expertise in data analysis, reporting, dashboard development, data pipelines and Azure-based integrations.

This opportunity is suited to a results-driven professional who can translate complex data into meaningful business insights, support data-driven decision-making and contribute to the delivery of reliable, scalable analytics solutions.

Responsibilities
  • Analyse complex datasets to identify trends, patterns, anomalies and actionable business insights.
  • Develop, maintain and enhance reports, business intelligence dashboards and performance metrics.
  • Support the development, optimisation and monitoring of data pipelines and ETL processes.
  • Contribute to Azure-based data integrations and analytics solutions.
  • Perform statistical analysis and data modelling to support business reporting and decision-making.
  • Implement and maintain data quality controls, validation processes and data governance practices.
  • Collaborate with technical teams, business stakeholders and subject matter experts to translate business requirements into analytical solutions.
  • Ensure data accuracy, consistency, integrity and reliability across reporting and analytics platforms.
  • Document analytical methodologies, data processes and reporting requirements.
Qualifications & Experience
  • A relevant NQF Level 7 qualification in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics or a related field.
  • At least five (5) years of relevant professional experience in data analysis, business intelligence or a related discipline.
  • Strong proficiency in SQL, Python and R.
  • Experience in statistical analysis, data interpretation and insight generation.
  • Proven capability in data quality management, data validation and data integrity controls.
  • Experience with data pipelines, ETL processes and data integration.
  • Exposure to Microsoft Azure data services and cloud-based integrations.
  • Advantageous Skills: Experience with Power BI, Tableau or similar business intelligence tools.
  • Familiarity with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric or related Azure data services.

Reference Number for this position is NG61559 which is a Contract role in Johannesburg offering a salary of up to R500 per hour salary negotiable based on experience.

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