Job Detail Africa

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Location

(SOUTH AFRICA) and Johannesburg
Job Reference

18050
Functional Area/Experience

Business, Accounting & Finance / 2 Years

Job Description & Qualifications

We are looking for an Associate 3 who can contribute technically to Data and Analytics client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You'll anticipate and identify risks within engagements and share any issues with senior members of the team.

In line with EYs commitment to quality, you'll confirm that work is of high quality. As an influential member of the team, you'll help to create a positive learning culture, coach and counsel junior team members and help them to develop.

Client Responsibilities

Take an active role in data analytics engagements, owning assigned tasks with a technical execution role around assessment, design and implementation of analytics solutions.
Work effectively as an Associate 3, taking accountability for assigned tasks and maintaining communication and updating senior team members on progress
Document outputs that will serve as input to reports and schedules that will be delivered to clients and other parties
Develop and maintain productive working relationships with client personnel
Build strong internal relationships within EY Consulting and with other services across the organisation

People Responsibilities

Conduct performance reviews and contribute to performance feedback for staff
Contribute to an educational program to continually develop personal skills of staff
Understand and follow workplace policies and procedures

Preferred skills and experience:

To execute data analytics and analytics driven solutions covering the entire spectrum from basic analytics to advanced analytics such as predictive modelling, machine learning and artificial intelligence, both in South Africa and abroad.

Technical skillset:

The successful candidate will need to demonstrate technical proficiency as follows:

Required:

SQL
Power BI
Data manipulation and modelling/ ETL
Data extraction
Data transformation
Data modelling
Data handling

Advantageous:

Azure Fundamentals or AWS Practioner certification
SAS/ R (advantageous)
Python
Spotfire/ Qlikview/ Tableau
Machine learning
AI/ Artificial Intelligence
Real time/ near real time analytics and technologies
Internet of Things (IoT)
Structured data
Unstructured data
Big data
Integrating structured and unstructured data
Building of data lakes
Building of data warehouses
Quantitative skills – This could include statistical, econometrical, mathematical skills etc.

Professional Experience:

The successful candidate will need to demonstrate experience in delivering or taking part in some of the following projects, for a minimum of 2 years in total: