Data Analytics Jobs in South Africa
There are 461 open Data Analytics jobs in South Africa on freehire right now. 199 of them were posted recently. The skills employers ask for most often are analytics, sql and powerbi.
Most requested skills
- analytics 43%
- sql 40%
- powerbi 26%
- python 23%
- data-quality 21%
- data-analytics 20%
- statistics 19%
- ai 17%
How the work is done
- Hybrid 43 · 9%
- Remote 33 · 7%
- Onsite 11 · 2%
Visa sponsorship offered in 18% of the 11 postings that state a position on it.
Seniority
- Senior 71
- Junior 28
- Lead 12
- Intern 4
- Middle 4
- Principal 1
Who is hiring
- 1000+ employees 46
- 501-1000 employees 23
- 51-200 employees 10
- 11-50 employees 1
- 201-500 employees 1
Analytics engineer: data modeling & power bi
Build and maintain analytics-ready datasets using Azure Synapse and Microsoft Fabric, then deliver Power BI reports for business insights.
Analytics Engineer II — ML, Security & Data Insights
Engineer supporting Citrix Analytics Platforms with data analytics and Citrix expertise in a collaborative environment.
Analytics Engineer (Remote SA) — Data & CRM Insights
Builds and optimizes data models in AWS (Redshift/S3) to generate BI reports and CRM insights, enabling data-driven marketing decisions.
Data & Analytics Engineer
Build and maintain data pipelines, models, and dashboards to power decision-making at an online K-12 school, integrating CRM, ads, and payment systems with SQL, Python, and Power BI.
Real-time Data Analytics Engineer | SQL & Azure BI
Builds and optimizes SQL and Azure-based data pipelines and warehouses to enable real-time analytics and reporting for business stakeholders.
Analytics Engineer: Data Modeling & ETL Expert
Builds analytics-ready datasets by modeling raw data and running ETL pipelines using SQL and Python to power reporting and business decisions.
Analytics Engineer: Trusted Data Products & Pipelines
Build trusted data pipelines and analytical assets for a financial client, turning raw data into scalable BI solutions using SQL and ETL/ELT.
Hybrid Senior BI Developer: Data Warehousing & Dashboards
Builds and optimizes data warehouses and BI dashboards using Microsoft tools to deliver actionable business insights.
Senior Data Analyst: Azure Data Pipelines & Insights
Designs and maintains scalable Azure data pipelines, transforms diverse data sources, and collaborates with analysts and scientists to deliver insights.
BI Developer — Dashboards, ETL & Data Warehousing
Build dashboards and ETL pipelines using Microsoft BI tools and SQL to turn business data into actionable reports for clients in Johannesburg.
BI Analytics Engineer: Power BI & Data Pipelines
Builds Power BI dashboards and data pipelines to turn datasets into business insights for clients.
Analytics Engineer
Designs and builds scalable data models and ETL pipelines to turn raw financial data into trusted, analytics-ready datasets for BI and reporting.
Senior Analytics Engineer
Build and govern a reliable dbt analytics layer for a fintech investor, transforming raw data into clean, actionable metrics and models for business decisions.
Intermediate Analytics Engineer - Banking - Contract 6 months
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
Analytics Engineer
Build and maintain analytics-ready datasets and ETL/ELT pipelines using SQL, Power BI, Azure Synapse, and Microsoft Fabric to support business reporting and decision-making.
Analytics Engineer
Builds and maintains analytics-ready datasets in Microsoft’s stack (Azure, Synapse, Fabric) and Power BI to power business reporting and dashboards.
Senior Administrator: Data Analyst Johannesburg, South Africa DevOps Data Enablement Posted 4 hours ago
Maintain and optimize IBM DataStage and related data platforms, automate workflows, and ensure secure, reliable ETL operations for business-critical data services.
Senior Analytics Engineer
Owns end-to-end analytical domains: defines metrics in a governed semantic layer (dbt/Snowflake), models data, and ensures consistent KPIs across dashboards and AI tools.