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Technical Analytics Supervisor

KPMG South Africa • Python • SQL • Power BI • Microsoft Excel • 11 days ago

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Salary

≈ $24k – $47k per year (Estimated)

Location

In office (Johannesburg)

Seniority

Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 8, 2026. KPMG South Africa scores C on the Alion truth index.

Overview

Company

Impact

Profile match

KPMG South Africa

KPMG South Africa is the South African member firm of the KPMG professional services network, providing audit, advisory and consulting services. It hires analysts, trainee accountants, project managers and technical supervisors for its Analytics Centre and other units, with most roles in Johannesburg, Cape Town and Durban. The firm is headquartered in Johannesburg, South Africa.

kpmg.co.za • HQ: Johannesburg, South Africa • Management Consulting • Audit & Assurance Firms • 501-1000 employees

Tech stack of KPMG South Africa

Job title: Technical Analytics Supervisor

Role Purpose

The Technical Analytics Supervisor supports the delivery of high-quality analytics, automation, and AI-enabled audit solutions by providing hands-on technical expertise across complex engagements.

The role focuses on reviewing analytics workpapers, solving technical challenges, supporting solution development, and helping maintain high technical standards across the Analytics Centre. Working closely with analysts, senior analysts, and leadership, the successful candidate will provide practical support on complex data, analytics, automation, and technology-related matters.

This role is ideal for a technically strong individual who enjoys working directly with data, solving complex problems, and supporting others through hands-on technical expertise.

Key Responsibilities

Technical Delivery Support

Review analytics workpapers and supporting documentation.
Provide technical guidance on complex analytics engagements.
Assist analysts in resolving data, transformation, and solution design challenges.
Support the development and enhancement of analytics, automation, and AI-enabled audit solutions.
Help ensure outputs are technically sound, efficient, and aligned with established methodologies.

Data Analytics and Problem Solving

Analyse complex datasets from a variety of client systems.
Design and implement data transformation processes.
Develop, review, and troubleshoot SQL queries.
Investigate data quality issues and identify root causes.
Support the development of scalable and repeatable analytics solutions.
Contribute to technical problem solving across multiple engagements.

Technology and Automation

Support analytics solutions built using SQL, Databricks, Python, Power BI, and related technologies.
Assist with automation opportunities that improve efficiency and consistency.
Provide technical input into AI-enabled audit solutions and emerging technology initiatives.
Support the maintenance and enhancement of existing analytics assets and tools.

Knowledge Sharing

Share technical knowledge and practical solutions across the team.
Support analysts and senior analysts on challenging technical assignments.
Contribute to development of reusable code, templates, and technical guidance materials.
Help promote consistent technical approaches across engagements.

Required Experience

3-5 years of experience in analytics, data engineering, business intelligence, audit analytics, or a similar technical role.
Strong experience writing and troubleshooting SQL queries.
Experience working with large and complex datasets.
Experience in data transformation, cleansing, and validation.
Strong analytical and problem-solving skills.
Experience supporting delivery within a professional services, consulting, audit, or advisory environment is advantageous.

Technical Skills

Essential

SQL
Data transformation and preparation
Data quality analysis and validation
Microsoft Power BI
Advanced Excel
Structured problem solving
Analytics solution development

Highly Desirable

Databricks experience
Databricks certification
Python
AI and automation tools
Data engineering concepts
Audit analytics experience
Experience working with large-scale financial or operational datasets

What Success Looks Like After 12 Months

The successful candidate will:

Be recognised as a trusted technical resource within the Analytics Centre.
Consistently support the resolution of complex technical challenges.
Improve the quality and robustness of analytics workpapers and technical deliverables.
Contribute to the development of scalable analytics and automation solutions.
Strengthen the team's SQL, Databricks, and data transformation capabilities.
Help reduce technical delivery issues through proactive review and support.
Support successful delivery of complex and high-profile engagements.

Job title: Technical Analytics Supervisor

Role Purpose

The Technical Analytics Supervisor supports the delivery of high-quality analytics, automation, and AI-enabled audit solutions by providing hands-on technical expertise across complex engagements.

This role is ideal for a technically strong individual who enjoys working directly with data, solving complex problems, and supporting others through hands-on technical expertise.

Key Responsibilities

Technical Delivery Support

Review analytics workpapers and supporting documentation.
Provide technical guidance on complex analytics engagements.
Assist analysts in resolving data, transformation, and solution design challenges.
Support the development and enhancement of analytics, automation, and AI-enabled audit solutions.
Help ensure outputs are technically sound, efficient, and aligned with established methodologies.

Data Analytics and Problem Solving

Analyse complex datasets from a variety of client systems.
Design and implement data transformation processes.
Develop, review, and troubleshoot SQL queries.
Investigate data quality issues and identify root causes.
Support the development of scalable and repeatable analytics solutions.
Contribute to technical problem solving across multiple engagements.

Technology and Automation

Support analytics solutions built using SQL, Databricks, Python, Power BI, and related technologies.
Assist with automation opportunities that improve efficiency and consistency.
Provide technical input into AI-enabled audit solutions and emerging technology initiatives.
Support the maintenance and enhancement of existing analytics assets and tools.

Knowledge Sharing

Share technical knowledge and practical solutions across the team.
Support analysts and senior analysts on challenging technical assignments.
Contribute to development of reusable code, templates, and technical guidance materials.
Help promote consistent technical approaches across engagements.

Required Experience

3-5 years of experience in analytics, data engineering, business intelligence, audit analytics, or a similar technical role.
Strong experience writing and troubleshooting SQL queries.
Experience working with large and complex datasets.
Experience in data transformation, cleansing, and validation.
Strong analytical and problem-solving skills.
Experience supporting delivery within a professional services, consulting, audit, or advisory environment is advantageous.

Technical Skills

Essential

SQL
Data transformation and preparation
Data quality analysis and validation
Microsoft Power BI
Advanced Excel
Structured problem solving
Analytics solution development

Highly Desirable

Databricks experience
Databricks certification
Python
AI and automation tools
Data engineering concepts
Audit analytics experience
Experience working with large-scale financial or operational datasets

What Success Looks Like After 12 Months

The successful candidate will:

Be recognised as a trusted technical resource within the Analytics Centre.
Consistently support the resolution of complex technical challenges.
Improve the quality and robustness of analytics workpapers and technical deliverables.
Contribute to the development of scalable analytics and automation solutions.
Strengthen the team's SQL, Databricks, and data transformation capabilities.
Help reduce technical delivery issues through proactive review and support.
Support successful delivery of complex and high-profile engagements.

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