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.
Competencies:
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
Technical Competencies and Experience:
ETL and data preparation capabilities
Development, testing and implementation of analytics solutions
Scripting skills and experience
Develop innovative analytics solutions to complex data project
Technical experience with one or more of the following tools: Excel, SQL, Power BI, DAX, Idea, and/or Python
Must have Dashboarding capabilities
Behavioural Competencies:
Continuous learning mindset
Curious and innovative
Excellent communication skills, both written and verbal
Consistently delivers high quality work
Ability to meet deadlines (reliable and dependable)
Able to multi-task
Displays initiative and takes accountability for delivery of own work
Supervises and monitors adherence to deadline for self
Requirements:
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).
Preferred:
* Qualifications/Certifications or Advanced degrees in Computer Science, Data Analytics, and technology specific certifications               
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