Assurance - Senior Associate [Analytics Delivery Specialist (ADS)] at Ernst and Young

Ref No: NIG0003Q

Details

• More than ever before, businesses rely on properly interpreted complex data sets to inform their actions.
• From emerging brands to the multinationals, our clients require dependable financial statements to drive their decision-making process and they depend on us to provide top notch advice along with best in class service all the time.
• We have recorded great success in the Nigerian market space year on year and therefore always looking for more talented consultants to join our team.

The Opportunity

• As an Audit Analytics Delivery specialist Senior, you work with Audit teams to plan and scope the use of leading-edge analytics solutions and deliver them through by using Audit analytics tools.
• You will work closely and engage with the client’s IT function to successfully manage data capture and extraction process, data cleansing and analysis.
• As a senior consultant and Adviser for EY, your everyday work-life will be filled with operational tasks and professional challenges.
• All the knowledge and skills of the EY brand will be made available to you as you as you build a better working world for our people, our clients and the communities that support us.

Your Key Responsibilities

• Everything you’ll do will come back to providing exceptional audit activities for our clients. Colleagues and clients from a diverse array of backgrounds will look to you first for answers, so you’ll be a high-profile contact when it comes to resolving complex issues. As you build your knowledge and experience, you’ll become a credible advisor, influencing clients and engagement teams on resolutions that will impact entire industries.

Requirements
To qualify for the role, you must have:

• A Bachelor's Degree in Accounting, Mathematics, Statistics, Computer science, Engineering, Finance or Business discipline, supported by minimum of 4 years’ work experience in data analysis, capture, transformation, and understanding business processes
• ICAN, ACCA, CISA certification (or equivalent) required
• Competence in using database management software, statistical and predictive machine learning software and link analysis / data visualization software
• Relevant knowledge of data analysis and strong analytical skills in related software, including ACL, MS SQL Server, SQL SSIS, MS Excel, MS Access or similar software
• Relevant knowledge of popular ERP data tables and their relationships is a plus e.g. Oracle EBS, Finacle, Flexcube, T24 etc
• Relevant knowledge of other analytics tools is a plus, e.g. BI/visualization, data extraction, data transformation, ERP (Enterprise Resource Planning) specific tools (e.g. SAP, Oracle), or similar tools
• Experience of advising external clients on insights and strategies related to data analytics, ideally in the audit domain.
• Proven project management skills
• Excellent communication and negotiation skills and a collaborative approach to management
• The flexibility to constantly learn and adapt in a fast-paced environment

Skills and attributes for success:

• Work with the Manager and Senior Manager to plan and operationalize analytics strategy
• Assist Audit teams in scoping and planning the use of Analytics on more complex / larger engagements
• Support Audit teams in conversations with clients related to data security, data capture methods, etc. and work with clients’ IT functions to extract relevant data in more complex cases
• Monitor data transformation activities (e.g. data validation, etc.) performed by the Analytics delivery team
• Promote the use and knowledge of Analytics in Audit; train and educate others (both clients and Auditors) on the methods and value of Analytics
• Promote analytics across the business and educate others on the analytics tools and value
• Be directly involved in Audit pursuits with Audit teams and clients
• Stay abreast of technology advancements and propose how to leverage them in audit
• Contribution to the development of custom analytics solutions where appropriate