Technical Analytics Supervisor

In brief

Overview This role is for a Technical Analytics Supervisor at KPMG. The primary purpose is to support the delivery of high-quality analytics, automation, and AI-enabled audit solutions by providing hands-on technical expertise across complex engagements. The supervisor will focus on reviewing analytics workpapers, solving technical challenges, supporting solution development, and helping maintain high technical standards within the Analytics Centre, working closely with analysts, senior analysts, and leadership. What you will do * **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. Requirements (from the original advert) **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. **Essential Technical Skills:** * SQL * Data transformation and preparation * Data quality analysis and validation * Microsoft Power BI * Advanced Excel * Structured problem solving * Analytics solution development **Highly Desirable Technical Skills:** * Databricks experience * Databricks certification * Python * AI and automation tools * Data engineering concepts * Audit analytics experience * Experience working with large-scale financial or operational datasets Who should apply 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. The successful candidate will be a trusted technical resource within the Analytics Centre, consistently supporting the resolution of complex technical challenges, improving the quality and robustness of analytics workpapers, and contributing to the development of scalable analytics and automation solutions. They will strengthen the team's technical capabilities in areas like SQL, Databricks, and data transformation, helping to reduce technical delivery issues and support the successful delivery of complex, high-profile engagements. Deadline Not specified Reference Original posting: https://www.myjobmag.co.za/job/technical-analytics-supervisor-kpmg-south-africa Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 3 years of experience.

• Python
• SQL
• Power BI
• Microsoft Excel

Extracted automatically from the advert; confirm requirements on the original listing.

Job description

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