{"id":3966019,"url":"https://alion.io/job/sanlam-data-analyst","title":"Data Analyst","company":{"id":2194082,"name":"Sanlam","domain":"sanlam.com","url":"https://alion.io/company/sanlam-co-za","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T14:14:47Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T14:14:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Purpose of the Role\nTo produce reliable business information and actionable insights through the collation, validation and analysis of data, enabling informed underwriting, pricing, claims and portfolio management decisions within the CAHTMAEB business cluster.\nKey responsibilities:\nPortfolio Analytics and Underwriting Insights:\nProduce and analyse portfolio reports covering premiums, claims, loss ratios, rate movements and other relevant performance indicators.\nIdentify emerging trends, underwriting opportunities, claims latency, risk concentrations and data anomalies.\nTranslate analytical findings into clear recommendations that support risk selection, pricing, underwriting actions and product reviews.\nMonitor exposure accumulations, concentration risks and applicable limit breaches.\nData Management and Quality:\nDevelop and maintain reliable datasets for reporting, pricing and modelling.\nPerform regular data validation, reconciliation and quality testing.\nIdentify root causes of data quality issues and work with relevant stakeholders to implement sustainable corrective actions.\nMaintain data definitions, business rules, process documentation and appropriate audit trails.\nReporting and Business Intelligence:\nProduce accurate and timely management information, portfolio reports and dashboards.\nDevelop and maintain self-service reports and business intelligence solutions.\nEnsure that reports use consistent definitions, approved data sources and appropriate controls.\nPresent complex findings clearly to technical and non-technical stakeholders.\nPricing, Modelling and Technical Support:\nPrepare and validate data for pricing, segmentation, forecasting and predictive modelling.\nSupport the testing, implementation and monitoring of rates, underwriting rules and analytical models.\nAssist with system changes, data migrations, rate updates and user acceptance testing.\nSupport exposure analysis and reinsurance treaty renewals, regulatory and governance reporting.\nProcess Improvement and Stakeholder Engagement:\nWork with underwriting, actuarial, claims, reinsurance, finance and technology teams to deliver practical data solutions.\nAutomate repeatable data and reporting processes to reduce manual effort and operational risk.\nRespond to ad hoc analytical requests and data enquiries.\nPromote data standards and support users in adopting reports, dashboards and analytical tools.\nParticipate in approved AI and automation initiatives, including testing, implementation and monitoring.\nContribute to the development, deployment and responsible governance of data and AI solutions that improve decision making, operational efficiency and customer outcomes.\nWork with business and technology stakeholders to identify and prioritise AI use cases that support Santam’s strategic objectives, competitive advantage and long-term business performance.\nSupport the ongoing monitoring of AI solutions for performance, data quality, explainability, fairness and compliance with approved governance, risk and ethical standards.\nQualifications and Experience\nAt least two years’ relevant experience in data analysis, business intelligence, actuarial analysis, pricing analytics or a similar analytical role\nExperience extracting, reconciling and analysing data from multiple sources\nExperience developing reports or dashboards for business users\nExperience in short-term insurance, commercial insurance or casualty insurance\nExposure to underwriting, pricing, claims, exposure management or reinsurance data\nExperience working with policy administration systems and data warehouses\nSkills\nAdvanced Excel, including data validation, reconciliation and analytical modelling\nProficiency in SQL for data extraction, transformation and analysis\nExperience using a business intelligence and visualisation tool, preferably Power BI\nStrong data management and data quality skills\nExperience working with relational databases, data warehouses or similar analytical data environments\nAbility to translate business requirements into clear analytical outputs\nUnderstanding of the AI solution lifecycle, including use case identification, data preparation, testing, deployment, performance monitoring and governance.\nAbility to evaluate AI generated outputs critically and translate them into reliable, explainable and actionable business insights.\nAwareness of responsible AI principles, including data privacy, security, fairness, transparency, human oversight and model risk.\nExperience using AI enabled analytical, automation or productivity tools in a controlled business environment.\nExperience contributing to or driving the development, implementation and ongoing monitoring of machine learning, generative AI or other advanced analytical solutions.\nAdvantageous:\nAdvanced Excel, including data validation, reconciliation and analytical modelling\nProficiency in SQL for data extraction, transformation and analysis\nExperience using a business intelligence and visualisation tool, preferably Power BI\nStrong data management and data quality skills\nExperience working with relational databases, data warehouses or similar analytical data environments\nAbility to translate business requirements into clear analytical outputs\nUnderstanding of the AI solution lifecycle, including use case identification, data preparation, testing, deployment, performance monitoring and governance.\nAbility to evaluate AI generated outputs critically and translate them into reliable, explainable and actionable business insights.\nAwareness of responsible AI principles, including data privacy, security, fairness, transparency, human oversight and model risk.\nExperience using AI enabled analytical, automation or productivity tools in a controlled business environment.\nExperience contributing to or driving the development, implementation and ongoing monitoring of machine learning, generative AI or other advanced analytical solutions.","description_format":"text","description_chars":5926,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Property & Casualty Insurance","Asset Management & Funds","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-11-09T14:14:47Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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