Company Description
Deloitte is the largest private professional services network in the world. Every day, approximately 312,000 professionals in more than 150 countries demonstrate their commitment to a single vision: to be the standard of excellence, while working towards one purpose – to make an impact that matters. Click here to read more about Deloitte.
About the division
Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our client’s compete.
Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.
Deloitte consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.
Job Description
Location: Johannesburg, Gauteng, South Africa
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.
The data scientist is a specialist skill set within Deloitte Consulting: Cloud Engineering. The main purpose of the role is to create innovative data solutions, automate solutions, design new warehouse processes, design mechanisms to draw insights from data for key stakeholders.
Key Competencies:
- Building tailor made SQL solutions for reporting/monitoring purposes and automation of controls.
- Data analysis to derive insights
- Making sound data recommendations to the business to align with best data governance principles
- Design, develop, implement database solutions in a Microsoft SQL Server environment
- Utilising Store procedures to create routines that maintain reporting and automated controls.
- Identify opportunities to and build appropriate models/other solutions for use in the company’s operations
- Creating logic links between data from various systems to facilitate cross system and multi-dimensional reporting
- Automation of controls in the business processes
- Design and implement automated data comparison solutions to trigger and facilitate certain control processes
- Simplifying complex manual processes into simple automated (or semi-automated) processes,
- Managing technical stakeholders across the business.
- Modelling of complex business problems.
- Identifying opportunities to improve business processes
- Automation of controls in the business processes
- Design and implement automated data comparison solutions to trigger and facilitate certain control processes
- Simplifying complex manual processes into simple automated (or semi-automated) processes,
- Managing technical stakeholders across the business.
- Modelling of complex business problems.
- Identifying opportunities to improve business processes
Qualifications
Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees
Additional Information
- 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 practise 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 utilise 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.
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.
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