Senior Data Analyst

Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this. Job Description You will form part of the Mass Foundation Cluster which is one of the largest customer-facing business segments in Old Mutual. Our vision is to be our customers' most trusted financial partner, passionate about helping them achieve their lifetime goals. Our mission is to enable positive futures for our customers, by bridging the gap between their resources and their financial service’s needs. Our primary goal is to facilitate access to financial solutions for our customers and to keep pace with their changing needs. Our target market is the low and emerging-middle income segment. The incumbent is required to gather business requirements and collect, transform, manage, analyse, report on and interpret data to support business strategy, drive data-informed decision-making, and evaluate business performance and outcomes. Responsibilities: Business Requirements Identification Proactively collect business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals, in order to garner the "why" of the requirements and the benefits of such requirements. Translate business requirements into data, reporting, analytics and data transformation requirements, ensuring alignment between business objectives and data solutions. Partner with stakeholders to define, document and prioritise business and data requirements across strategic initiatives. Data Architecture, Data Management & Data Quality Consult and educate stakeholders on methods for streamlining and standardising data recording to ensure quality and accuracy. Promote and apply data management best practices, data governance principles, and data architecture standards. Ensure data quality, integrity, consistency and reliability through the implementation of appropriate controls, validation processes and monitoring practices. Contribute to the design and continuous improvement of scalable and sustainable data architectures that support best practice business intelligence, analytics and reporting requirements. Data Transformation Design, develop and optimise data transformation processes to ensure data is accurately prepared, integrated and made available for reporting, analytics and business decision-making. Apply data transformation best practices to improve usability, consistency and accessibility of enterprise data assets. Build and improve Data processes. Data Collection and Analysis Collate and analyse data using preset tools, methods, and formats. This involves working independently. Demonstrate a passion for data by proactively identifying opportunities to leverage data assets to solve business problems and improve decision-making. Insights and Reporting Prepare and coordinate the completion of various data and analytics reports. Generates and test hypotheses and provide measurable and actionable insights and presents dashboards to stakeholders. Front-end Report development. Personal Capability Building Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfil personal potential. Maintain an in-depth understanding of relevant industry best practices, business acumen, and broadening of individual skills such as presentation, communication and visualisation through ongoing education, attending conferences, and reading relevant publications and thought leadership content. Maintain a strong understanding of emerging trends, best practices and innovations in data management, data architecture, analytics and business intelligence. Requirements: 3-8 years BI/Analytics related experience. IT/Statistical related degree/diploma is preferred. SQL knowledge and experience is essential. Experience with Business Intelligence (BI) tools, such as Power BI, Tableau or similar platforms, is essential. Knowledge and experience of ETL and data transformation concepts, methodologies and best practices is essential. Experience building and maintaining data transformation workflows using tools such as Alteryx is advantageous. The role is open to both Pinelands and Johannesburg based applicants. Skills Analytics, Business Intelligence (BI) Analysis, Business Intelligence (BI) Reporting Tools, Data ETL, Data Transformation, Structured Query Language (SQL) Competencies Action Oriented Business Insight Cultivates Innovation Drives Engagement Drives Results Manages Ambiguity Manages Complexity Optimizes Work Processes Education Diploma (Dip) (Required) Closing Date 12 August 2026 , 23:59 The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question. The Old Mutual Story!