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    Custom Analytics Associate - Johannesburg, South Africa - EY

    EY
    EY Johannesburg, South Africa

    5 days ago

    EY background
    Description

    We are currently seeking the right candidate for an excellent career opportunity. As a Custom Analytics and Solutions specialist your problem solving, development and product management capabilities will be leveraged to help our clients navigate the complex world of modern data science and analytics. In this process, you will work with audit team members as well as other pillars in the Africa Assurance Innovation and Digital team. You will also be working closely with data engineers, solution architects, product management, data analysts and data scientists across Africa and our global firm to create or leverage analytical solutions for audit clients. You will experience high growth, high visibility in an area with plenty of opportunities to enhance your skillset and build your career.

    Qualifications:

    With a wide variety of clients across geographies, sectors, and systems you will be required to conceptualise, analyse, design, and deliver data analytical solutions to support our audit teams responding to challenging problem statements. Depending on the situation this will be done by yourself, working as part of team, working as part of a multidisciplinary team across our Europe Middle East India and Africa (EMEIA) region or leveraging existing solutions that our global teams have developed. Effective data analytics or solutions will in many cases require you to work with and leverage specialists in the broader Africa Assurance Innovation and Digital team Automation, Process Mining, Data Delivery, Go-to-Market, or Implementation.

    To be effective in your role delivering on client engagements will require an understanding of client's relevant businesses and being able to manage relationships with clients and audit team representatives. As part of our EMEIA region you will need to build relationships and collaborate with our colleagues across the different regions in EMEIA. You'll create and embed new process and knowledge into standardised, repetitive, re-usable processes. In doing so, you'll stay abreast of developments in EY's digital solutions and developments in the market. You should promote the use of these throughout the Assurance business and contribute to the EMEIA area network by sharing innovation solutions. Ultimately you will need to build a repertoire of data analytics solutions that can be used globally across our different clients.

    Finally, as part of the Innovation team you will be required to proactively seek out learning opportunities to contribute to the advancement of the business.

    Skills and attribute for success

  • Customer centric solution mindset
  • Strong analytical skills and logical thinking is a mandatory requirement
  • Excellent written and oral communication skills and fluency in written and spoken English
  • Ability to present yourself in a competent and professional manner to clients always
  • Active participation and proactive attitude to service delivery
  • Ability to prioritise competing responsibilities
  • Demonstrate lateral thinking skills
  • Demonstrate a broad approach to problem solving
  • Ability to work efficiently and meet all deadlines
  • Ability to support management and junior staff
  • Ability to work efficiently in teams
  • Show enthusiasm towards learning
  • Ability to pay attention to detail
  • Independent, self-motivator

    • To qualify for the role, you must have

  • Preferred degree in Mathematics, Engineering, Economics, Computer Science, Information Management or Statistics or equivalent
  • Minimum of 1 year working experience in data analytics or business intelligence or related is an advantage
  • Understanding of the use of information communication technology (ICT) in enabling businesses and production of financial statements
  • Have business acumen and the ability to design analytical solutions to business problems
  • Understand business processes and how to analyse from a data point of view
  • Understand different database types (relational databases/NoSQL etc.) and the ability to analyse relationships between data
  • Have experience with writing and analysing data using analytical toolsets and or related languages
  • Have the ability to absorb and learn new technologies as determined by our changing business and client's requirements
  • Should be able to understand the fundamentals of programming
  • Experience and understanding of how to visualise data to answer specific questions
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