Graduate Academy - Data Analytics & AI Programme

The Programme 

The purpose of Deloitte Academy’s Data Analytics and AI programme is to develop the analytical capabilities required to tackle complex business problems and enable data-driven decision-making to address growing analytical trends, harness emerging opportunities in Cyber Security/ Information Technology space.

What You Will Do 

• Carry out research on complex issues thoroughly and completely to provide innovative ways to approach and resolve an issue.
• Demonstrates independent work and follow through on research steps through the results and findings stage including appropriate documentation. 
• Identify, rank and prioritize risks and exposures and develop a strategy for mitigation or remediation. 
• Review engagement documentation for compliance with Deloitte's standards and ensures deficiencies are corrected. 
• Organize and coordinate solutions proposed by team in a formal document for presentation to clients.
• Actively exploit identified system vulnerabilities along with appropriate documentation.  

Required Skills and Abilities 

• Possess a Bachelor’s degree (B.Sc., B.A., etc.) in Computer Science or Engineering or related discipline with a minimum of second class upper/upper credit. 
• Have a minimum of five credits in WASSCE Ordinary Level/NECO subjects or acceptable equivalent examination, including
• Mathematics and English Language in one sitting only. 
• Proficient in the use of MS-office tools i.e. Excel, Word and Power-point. 
• Having a Data Analytics or Data Science related certification would be an added advantage. 
• Knowledge of Information Technology (Operating systems, or networks or application development). 
• Knowledge in any of the following areas will be an added advantage:  Databases including SQL and Oracle, Data Warehousing and ETL,  Data Cleansing, Data Visualization, Knowledge and experience working with various Cloud solutions, Web Design,
• Programming languages such as Python, R, .Net, C# and Project Management. 
• Show knowledge of various Databases and ETL tools. 
• Knowledge of data quality review, data management. 
• Applicants must show a keen interest in working with large and complex data, finding trends in data sets and developing algorithms to help make raw data more useful. 
• Have strong analytical and problem solving skills. 
• Be of proven integrity, giving attention to confidentiality requirements. 
• Possess excellent writing and oral communication/presentation skills. 
• Ability to think outside the box and quickly learn new ideas independently. 
• Be a good team player, self-motivated and able to work with minimal supervision. 
• Be able to assess their own and peers’ work and identify any errors (e.g. code-review). 
• Be able to translate business requirements to data-driven solutions. 
• Knowledge of some regulatory, technical and industry standards, frameworks and practices (e.g. GDPR, NDPR). 
• Excellent presentation skills and the ability to convey complex solution to a non-technical audience.