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A leading consulting firm in South Africa seeks a Data Analyst to execute data analytics projects within their Risk Advisory Services. Candidates should have a three-year qualification in Commerce or a related field, along with 2-3 years of experience as a data analyst. Proficiency in Power BI, SQL, and Excel is essential. Responsibilities include engaging client teams and ensuring quality in deliverables. This role is ideal for innovative thinkers eager to contribute to data-driven decision-making.
Purpose Of This Role Actively enable the Digital Risk Advisory Services objectives to incorporate data analytics processes in our RAS services.
The Data Analyst reports to the relevant Senior and is responsible for execution of data analytics procedures in the integrated internal audit approach, and for execution of standalone analytics projects.
The incumbent will work closely with the entire RAS team to : Execution of data analytics and related projects / engagements; Engagement with clients and audit teams; Execution of complex and non-complex engagements; Take accountability for deliverables and feedback to managers and stakeholders; Contributing to the development of analytics solutions and go-to-market opportunities and activities.
General : Adept at queries, report writing and presenting findings using non-technical language Demonstrated strong project management skill Strong time management skills with the ability to prioritise and manage competing deadlines effectively.
Demonstrated strong problem solving and interpersonal skills Deadline oriented and able to prioritise own work Client-centric solution mindset Ability to work in an ambiguous environment with multiple role-play Sound risk and control knowledge and understanding Performance of analytics in an audit environment.
Three-year qualification in Commerce, Computer Science, Mathematics, Economics, Information Management, Statistics or equivalent. Minimum 2-3 years working experience as a data analyst or business data analyst. Strong knowledge of and experience with data analytics software (Power BI, ACL, Idea, SQL or similar).
Computer Science, Data Analytics, and technology specific certifications