{"id":2072797,"url":"https://alion.io/job/kpmg-south-africa-technical-analytics-supervisor","title":"Technical Analytics Supervisor","company":{"id":2558223,"name":"KPMG South Africa","domain":"kpmg.co.za","url":"https://alion.io/company/kpmg-co-za","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"C","score":61,"open_postings":28,"ghost_share":0.643,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T07:41:12Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-19T14:40:45Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":10},"description":"Job title: Technical Analytics Supervisor\nRole Purpose\nThe 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.\nThe 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.\nThis 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.\nKey Responsibilities\nTechnical Delivery Support\nReview analytics workpapers and supporting documentation.\nProvide technical guidance on complex analytics engagements.\nAssist analysts in resolving data, transformation, and solution design challenges.\nSupport the development and enhancement of analytics, automation, and AI-enabled audit solutions.\nHelp ensure outputs are technically sound, efficient, and aligned with established methodologies.\nData Analytics and Problem Solving\nAnalyse complex datasets from a variety of client systems.\nDesign and implement data transformation processes.\nDevelop, review, and troubleshoot SQL queries.\nInvestigate data quality issues and identify root causes.\nSupport the development of scalable and repeatable analytics solutions.\nContribute to technical problem solving across multiple engagements.\nTechnology and Automation\nSupport analytics solutions built using SQL, Databricks, Python, Power BI, and related technologies.\nAssist with automation opportunities that improve efficiency and consistency.\nProvide technical input into AI-enabled audit solutions and emerging technology initiatives.\nSupport the maintenance and enhancement of existing analytics assets and tools.\nKnowledge Sharing\nShare technical knowledge and practical solutions across the team.\nSupport analysts and senior analysts on challenging technical assignments.\nContribute to development of reusable code, templates, and technical guidance materials.\nHelp promote consistent technical approaches across engagements.\nRequired Experience\n3-5 years of experience in analytics, data engineering, business intelligence, audit analytics, or a similar technical role.\nStrong experience writing and troubleshooting SQL queries.\nExperience working with large and complex datasets.\nExperience in data transformation, cleansing, and validation.\nStrong analytical and problem-solving skills.\nExperience supporting delivery within a professional services, consulting, audit, or advisory environment is advantageous.\nTechnical Skills\nEssential\nSQL\nData transformation and preparation\nData quality analysis and validation\nMicrosoft Power BI\nAdvanced Excel\nStructured problem solving\nAnalytics solution development\nHighly Desirable\nDatabricks experience\nDatabricks certification\nPython\nAI and automation tools\nData engineering concepts\nAudit analytics experience\nExperience working with large-scale financial or operational datasets\nWhat Success Looks Like After 12 Months\nThe successful candidate will:\nBe recognised as a trusted technical resource within the Analytics Centre.\nConsistently support the resolution of complex technical challenges.\nImprove the quality and robustness of analytics workpapers and technical deliverables.\nContribute to the development of scalable analytics and automation solutions.\nStrengthen the team's SQL, Databricks, and data transformation capabilities.\nHelp reduce technical delivery issues through proactive review and support.\nSupport successful delivery of complex and high-profile engagements.\nJob title: Technical Analytics Supervisor\nRole Purpose\nThe 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.\nThe 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.\nThis 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.\nKey Responsibilities\nTechnical Delivery Support\nReview analytics workpapers and supporting documentation.\nProvide technical guidance on complex analytics engagements.\nAssist analysts in resolving data, transformation, and solution design challenges.\nSupport the development and enhancement of analytics, automation, and AI-enabled audit solutions.\nHelp ensure outputs are technically sound, efficient, and aligned with established methodologies.\nData Analytics and Problem Solving\nAnalyse complex datasets from a variety of client systems.\nDesign and implement data transformation processes.\nDevelop, review, and troubleshoot SQL queries.\nInvestigate data quality issues and identify root causes.\nSupport the development of scalable and repeatable analytics solutions.\nContribute to technical problem solving across multiple engagements.\nTechnology and Automation\nSupport analytics solutions built using SQL, Databricks, Python, Power BI, and related technologies.\nAssist with automation opportunities that improve efficiency and consistency.\nProvide technical input into AI-enabled audit solutions and emerging technology initiatives.\nSupport the maintenance and enhancement of existing analytics assets and tools.\nKnowledge Sharing\nShare technical knowledge and practical solutions across the team.\nSupport analysts and senior analysts on challenging technical assignments.\nContribute to development of reusable code, templates, and technical guidance materials.\nHelp promote consistent technical approaches across engagements.\nRequired Experience\n3-5 years of experience in analytics, data engineering, business intelligence, audit analytics, or a similar technical role.\nStrong experience writing and troubleshooting SQL queries.\nExperience working with large and complex datasets.\nExperience in data transformation, cleansing, and validation.\nStrong analytical and problem-solving skills.\nExperience supporting delivery within a professional services, consulting, audit, or advisory environment is advantageous.\nTechnical Skills\nEssential\nSQL\nData transformation and preparation\nData quality analysis and validation\nMicrosoft Power BI\nAdvanced Excel\nStructured problem solving\nAnalytics solution development\nHighly Desirable\nDatabricks experience\nDatabricks certification\nPython\nAI and automation tools\nData engineering concepts\nAudit analytics experience\nExperience working with large-scale financial or operational datasets\nWhat Success Looks Like After 12 Months\nThe successful candidate will:\nBe recognised as a trusted technical resource within the Analytics Centre.\nConsistently support the resolution of complex technical challenges.\nImprove the quality and robustness of analytics workpapers and technical deliverables.\nContribute to the development of scalable analytics and automation solutions.\nStrengthen the team's SQL, Databricks, and data transformation capabilities.\nHelp reduce technical delivery issues through proactive review and support.\nSupport successful delivery of complex and high-profile engagements.","description_format":"text","description_chars":7693,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-08T07:41:12Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely 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