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About the Division

The value that Deloitte Risk Advisory Africa creates for organisations is synonymous with operational excellence. Deloitte Analytics is the practice of using data to drive business strategy and performance. It includes a range of approaches and solutions, from looking backward to evaluate what happened in the past, what is happening right now and then what could happen in the future.

Deloitte Analytics spans all of the Deloitte functional businesses to address a continuum of opportunities in Information Management, Data Ops and Analytic Insights. By understanding decision-makers’ roles to maximise analytics value, Deloitte turns everyday information into useful and actionable insights.

We assist our clients in solving a wide variety of data related problems and define strategies for them to better manage, interpret and monetize their data assets. We are the leaders in analytics both globally and in South Africa and work across all the big companies, with a large focus on financial services and a strong footprint into the rest of Africa.

As a Consultant in the Deloitte Analytics practice, you will need to understand the data management trends, and help clients manage their data to better deliver information and insights, and help clients maximize the data management initiatives to support their business objectives and improve their business strategy.

Typical duties will include:

·       Working independently and as part of a team to develop content in support of client and internal initiatives

·       Implement data management projects utilising selected technologies, Deloitte methodologies and approach.

·       Contribute to the preparation and development of proposals and presentations

·       Develop productive, credible and trusting relationships with clients and Deloitte team members

·       Mentor and develop junior staff

·       Maintain own development and knowledge in data management

·       Stream Lead – Technical point of contact

Technical Competencies

·       Knowledge of data management frameworks e.g. DAMA

·       Experience with extracting and processing large amounts of data from systems, managing data and extracting value from data

·       Practical knowledge of data governance. Ability to assess, provide design input to data governance structures and execute data governance capabilities i.e. policies and processes

·       Practical knowledge of data quality principles, data profiling and data quality tools. Ability to assess, design data quality approaches and processes

·       Practical knowledge of master data and reference data

·       ​Practical knowledge of meta-data concepts, standards, processes and tools. Ability to design meta-data artefacts

·       Practical knowledge of integration methods, processes and tools. Ability to assess and design and execute data integration processes

·       Practical knowledge of data privacy

Behavioural Competencies

·       Good communication skills, both written and verbal

·       Focus on quality

·       Problem solving ability

·       Analytical

·       Interpersonal and relationship building skills

·       Desire to develop self

·       Client delivery focus

·       Adaptable and flexible

Qualifications

Bachelor’s degree in mathematics, statistics, information technology or business informatics or computer science, engineering or related qualification/ experience

Experience

·       At least 2 - 3 years working experience.

·        Experience in Data Management, data modelling, data architecture, data governance, master data management, meta data management and/or data analytics experience

·       Experience in project delivery

·       Practical experience with data analytics tools such as SAS, Python, SQL, PowerBI, Qlik and SAP Hana Modelling.

·       Experience with data management technologies (on premise and cloud based) from companies such as Informatica, Talend, SAP, Microsoft and Amazon etc.

·       Experience with assisting businesses in deriving value from data

·       Previous consulting experience will be advantageous

·       Demonstrated experience working across multiple functional projects to understand data usage and implications for data management