Data Analytics- Business Analyst at Deloitte

Johannesburg, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

0.0

Posted On

18 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Engineering, Stakeholder Management, Business Intelligence, Project Management, Problem Solving, Interpersonal Skills, Leadership Skills, Mentoring, Business Engagement, Risk Management, Data Analysis, Machine Learning, SDLC Methodologies, Automation, Framework Development

Industry

Business Consulting and Services

Description

Company Description At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). Are you ready to apply your knowledge and background to exciting new challenges? From learning to leadership, this is your chance to take your career to the next level. Job Description Manage Multiple Projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists. Qualifications Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees Deliver and manage the execution of Data Engineering and Data Science projects. Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams. Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs. Design and manage the end-to-end Data Science and Data Engineering Solutions. Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities. Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client. Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs. Implement best practice pipeline framework adhering to (KDD,CRISP) and deployment of use cases identified in products & services by using ML techniques Establish and meet required SLAs and TAT for requirements Ability to understand business processes, risk and controls. Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements. Ability to utilize industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools. Ability to apply SDLC methodologies to solution developments Ability to work with minimal supervision. Ability to manage multiple engagements and projects simultaneously. Excellent interpersonal skills. Management and leadership skills. Problem Solving Skills. Drive an willingness to mentor and train junior members of the team. Prior Business Engagement and Stakeholder Management experience. Additional Information At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies. Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

Responsibilities

Manage multiple projects within the Data Science and Data Engineering space while leading teams of Data Engineers and Data Scientists. Engage with stakeholders and ensure the end-to-end delivery of solutions to clients.