Jobs at Deloitte

Job Description

• We are looking for a Senior Manager to make an impact in our team and at the clients. This role will support our service and business area leadership in the implementation of strategic plan through the effective management of teams.

Key responsibilities:

• Strategic Impact: Support the strategy implementation of the Business Area. Lead and contribute to preparation of proposals or tenders, and presentations. Lead and participate in sales presentations and client negotiations, for new and retained business. Grow market network with key players and build long-term relationships. Client retention and client base growth.
• Client Impact: Ability to generate productive and trusting relationships with senior client management and the C-suite. Experience and exposure to large, global strategic and group clients. A Senior Manager needs to play a pivotal role in coordinating, facilitating, and resolving of issues. Contribute to thought leadership and share knowledge and expertise with clients, colleagues, and teams.
• Operational Effectiveness: Business acumen and insight which enables the Senior Manager to be an effective advisor to clients. Knowledge of global financial news, global business-related trends, and the ability to apply this to our clients’ situations. Lead or manage complex client engagements and maintain high level oversight of all engagements or projects. Provide ongoing communication on the update and status of engagements. Drive Deloitte values of exceptional service to clients, growing the firm’s brand and talent development.
• Development/ Growth of Team: Mentor and develop team members and counselees on an ongoing basis. Empower Managers through appropriate delegation of work. Maintain dynamic succession plans for every critical resource. Provide consistent recognition and encouragement to teams and lead by example. Drive the culture of continuous learning and curiosity.
• Budgets / Profitability: Manage margins effectively through accurate budgeting, pricing and profitability management on engagements.

Core Professional and Technical capabilities of the successful candidate:

• Risk Assessment and Mitigation
• Business Process Assessment
• Internal Controls Analytics
• Data Analytics and Technology
• Knows the Business and the Industry
• Sales and Business Development
• Global Mindset

Specialized Technical capabilities of the successful candidate:

• Sets Strategy and Drives Delivery Excellence for Technology and Data Risk Solutions             
• Ability to lead client and teams through end-to-end design and delivery of forward looking, holistic, and business-aligned Technology and Data Risk solutions / engagements

Technical Competencies:

• Expertise in field with excellent industry and business knowledge
• Strong business acumen
• Demonstrated leadership skills
• Sales and negotiation skills
• Ability to manage and execute projects
• Demonstrated execution of complex projects to profitable outcomes 
• Skilled in drafting and presenting client proposals
• As an SME, create complex data & analytics solutions to solve client problems as input to the sales process and then as part of engagement delivery.

Knowledge and experience across multiple areas including:

• Insights Driven Data & Analytics strategy development
• Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
• Business Analysis (including business process mapping)
• Data Modelling
• Machine Learning (ML)
• Data Management
• Data Engineering (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Analytics
• SAP Analytics
• Robotics Process Automation (RPA)
• Relevant Technical fundamentals at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Exceptional communication skills, both written and verbal
• Able to deliver multiple engagements on time and within budget
• Proven ability to make decisions and the right judgement calls in complex projects and situations
• Creates a culture of trust, ownership and accountability across teams and projects
• On the job coaching for managers and professional staff and taking accountability for multiple large engagements
• Manages large engagement / multiple engagement deadlines holistically, identifying risks and escalating
• Drives continuous improvement
• Custodian of the business, shaping offerings that we need to proactively take to the market

Qualifications

Minimum Qualifications  

• BSC Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).  Or if direct entry proven experience in data & analytics and other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques)

Desired Qualifications    

• Certifications or Advanced degrees in Data Management, Data Engineering, Data Science, Data Analytics and Analytics technology specific certifications.

Minimum Experience      

• 10 years’ relevant (Data Management, Data Engineering, Data Science, Data Analytics and Analytics technology) working experience

Desired Experience         

• 10 years relevant working experience in a client facing role; 5 of these in a management role. Business development / market making experience preferred. Or
• 10 years analytics delivery experience with subject matter expert knowledge in Data Management / Data Engineering / Data Science / Data Analytics / Analytics technology. Is recognised as an expert in their chosen domain having architected and delivered numerous complex analytics and data solutions.

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Job Description

• We are looking for a Manager to make an impact in our team and at the clients. This role will support the Senior Manager, Associate Director or Director in delivery of services to clients on engagements and projects.

Key responsibilities:

• Strategic Impact: Support with the delivery of designated engagements, managing the implementation of the agreed deliverables or provide subject matter expertise role. Track outputs against engagement scope of work and report to Senior Manager on any unforeseen issues arising. Support in planning and execution of sales presentations and client negotiation teams for new and retained business and assist in the preparation of proposals/tenders and presentations on request. Develop market network in business and build relationships that generate leads. Demonstrated the ability to win and retain business, through excellent delivery and client relationships, with the ability to shape opportunities. Or technical SME focused on delivery.
• Client Impact: Generate productive, credible and trusting relationships with Senior client management. Appropriately resolve professional, technical or client service issues. Manage the day-to-day deliverables of the team and on client engagements. Participate in thought leadership process and share functional and industry knowledge and expertise with clients and teams.
• Operational Effectiveness: Apply business acumen and insight as an effective advisor to clients. Business-oriented approach to client problem-solving and service. Manage engagement or project risk to ensure that the firm’s risk policies as well as risk to client confidentiality is always aligned. Meet regularly with client and teams to understand issues, anticipate needs, and address these. Communicate changes in engagement/ project to Senior Manager for client engagement. Provide ongoing status of project to engagement team.
• Development/ Growth of Team: Share expertise and knowledge with team members and ensure quality and effective delivery of work. Monitor resource requirements for engagement and communicate to Senior Manager need for increase/decrease in team headcount. Maintain self-development and knowledge in specialised areas, including accreditations and certifications.  
• Budgets & profitability: Manage engagement budget through accurate budgeting, cost control and profitability management. Monitor that time and expenses on engagement are accurately recorded and submitted weekly. Cost and manage engagements profitably.

Core Professional and Technical capabilities of the successful candidate:

• Risk Assessment and Mitigation
• Business Process Assessment
• Internal Controls Analytics
• Data Analytics and Technology
• Knows the Business and the Industry
• Sales and Business Development
• Global Mindset

Specialized Technical capabilities of the successful candidate:

• Ability to guide teams through the design and implementation of technology and data risk engagements or solutions to support the achievement of business goals.
• Combines industry knowledge and analytics domain experience to help client identify, assess, and manage technology and data risk or opportunities. 
• Oversees teams that are defining requirements and developing data & analytics solutions to align with sector requirements, strategic business goals, and existing operations.
• Leverages an in-depth knowledge of market-specific products / technologies and solutions to enhance impact of recommended solutions.
• Proactively tailors’ data & analytics strategies to help ensure client’s environments are receptive to the impending change.
• Works with client to build support, remove organizational barriers and acquire the necessary resources to enable effective and sustainable implementations.
• Specialises in and builds an internal expert brand within minimum three data and analytics domains, while maintaining a minimum level of expertise across many areas.

Technical Competencies:             

• Field expert with sound industry and business knowledge
• Demonstrated leadership skills
• Sales skills and proven ability to manage and execute projects
• Experience in drafting and presenting client proposals
• Good report writing skills
• Sound financial knowledge and understanding
• Business acumen

Knowledge and experience across multiple areas including:

• Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
• Business Analysis (including business process mapping)
• Data Modelling
• Machine Learning (ML)
• Data Management
• Data Engineering (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Analytics
• SAP Analytics
• Robotics Process Automation (RPA)
• Relevant Technical fundamentals at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Good communication skills, both written and verbal
• Demonstrates ability to work efficiently and meet all deadlines consistently
• Proven ability to effectively manage engagement on time and within budget
• Demonstrates ability to make the right decisions and judgement calls
• Ability to provide leadership and guidance/coaching to junior member of the team
• Demonstrated ability to inspire and enthuse others to commitment and involvement taking accountability for larger engagements
• Manages large engagement / multiple engagement deadlines holistically, identifying risks and escalating and take ownership of deliverables driving team quality and risk management.

Qualifications

Minimum Qualifications  

• BSC Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).

Desired Qualifications    

• Master’s degree or certifications and proven analytics training

Minimum Experience Criteria       

• 7 years of working experience

Desired Experience Criteria

• 8 years’ relevant work experience and postgrad qualification

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Job Description

• We are looking for Senior Consultants and Assistant Managers to make an impact in our team and at the clients. This role will support the Engagement team in delivery of services to clients on engagements and projects.

Key responsibilities:

• Strategic Impact: Support the Engagement team in delivery to the client. Assist in development of client presentations/ discussion documentation. Build business relationships leading to lead generation. Gather information to understand broader offerings of Deloitte and awareness of opportunities for cross-selling. Identify business opportunities at existing clients. Raise ideas to address issues, that may enhance / renew service offerings to clients.
• Client Impact: Interact with different levels of management and clients. Consult as appropriate on technical and client issues. Handle and resolve minor challenges. Self and team supervision.
• Operational Effectiveness: Proactively identify client needs and technical issues and propose resolutions to address these. Manage risk in area of engagement in alignment with Deloitte policies. Consistently review and analyse accuracy and quality of own deliverables. Maintain clear communication channels with engagement team members on the work status.
• Development/ Growth of Team: Share expertise and knowledge with team members and ensure quality and effective delivery of work. Mentor junior team members.
• Budgets & profitability: Maintain quality and timeous delivery as per the SLA.

Core Professional and Technical capabilities of the successful candidate:

• Risk Assessment and Mitigation
• Business Process Assessment
• Internal Controls Analytics
• Data Analytics and Technology
• Knows the Business and the Industry
• Global Mindset

Specialized Technical capabilities of the successful candidate:

• Ability to develop and execute strategies, architectures, and roadmaps to provide clients with need-based, value-adding, and cost-effective technology and data risk solutions
• Develops effective and sustainable technology and data risk analytics strategies by tailoring leading frameworks and models based on key clients’ business and technology needs
• Assesses, designs, and implements holistic and integrated data and analytics solutions that align with client’s business and technology objectives
• Creates design artefacts to support the development of data architectures, data models, data and analytics solutions
• Ensures effective implementation of proposed solutions by conducting appropriate testing (e.g., unit testing, integration testing, user acceptance testing)
• Understands the interaction of business and technology processes / risks and can explain it in business terms to both technical and non-technical audiences
• Enhances client’s ability to manage data by designing and implementing comprehensive approaches and solutions
• Builds functional knowledge within one or two particular technology and data risk domains, while maintaining a general understanding of broader technology and data risk service offerings
• Is proficient with multiple technology and data risk management products and is able to effectively integrate them to meet and exceed client’s needs.

Technical Competencies:

• Technical expert in specific area and/or industry
• Demonstrated project management skill
• Consulting skills
• Experience in drafting and presenting to clients
• Good report writing skills
• Sound financial knowledge and understanding
• Business acumen

Knowledge and experience across multiple areas including:

• Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
• Business Analysis (including business process mapping)
• Data Modelling
• Machine Learning (ML)
• Data Management
• Data Engineering (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Analytics
• SAP Analytics
• Robotics Process Automation (RPA)
• Relevant Technical fundamentals at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Good communication skills, both written and verbal
• Demonstrates ability to work efficiently and meet all deadlines consistently
• Proven application of providing guidance to junior members of the project team
• Demonstrates readiness to take decisions
• Displays initiative and takes accountability for delivery of own work and that of other team members.
• Supervises and monitors adherence to deadlines for self and other team members
• Ability to prioritize competing responsibilities as per their urgency and importance

Qualifications

Minimum Qualifications  

• BSC Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).

Desired Qualifications    

• Master’s degree or certifications and proven analytics training

Minimum Experience Criteria       

• Senior Consultant: 4 years of working experience
• Assistant Manager: 5+ years working experience

Desired Experience Criteria

• Senior Consultant: 4+ years’ relevant work experience
• Assistant Manager: 6+ years’ relevant work experience

go to method of application »

Job Description

• We are looking for Junior Consultants and Consultants to make an impact in our team and at the clients. This role will support the Engagement team in delivery of services to clients on engagements and projects.

Key responsibilities:

• Strategic Impact: Under guidance, support the Engagement team in delivery to the client. Gather information through networking and research to understand broader offerings of Deloitte and awareness of opportunities for cross-selling. Raise ideas to address issues that may enhance / renew service offerings to clients.
• Client Impact: Promotes technical ability on assignments. Demonstrates a broad approach to problem solving. Contribute to management decisions through pertinent analysis of client company and industry. Respond with urgency and accountability to client and team requests.
• Operational Effectiveness: Contributes actively and positively to the team. Always presents self in a competent and professional manner to the client. Brings matters to the attention of senior members of the team for discussion and resolution in a timely manner. Remain aware of risks in area of engagement, in alignment with Deloitte policies. Consistently review and analyse accuracy and quality of deliverables.
• Development/ Growth of Team: Cultivate ability to give effective development feedback both upward and to peers. Maintain own development and knowledge in specialised area. Completion of relevant training programs or accreditations.

Core Professional and Technical capabilities of the successful candidate:

• Risk Assessment and Mitigation
• Business Process Assessment
• Internal Controls Analytics
• Data Analytics and Technology
• Knows the Business and the Industry
• Global Mindset

Specialized Technical capabilities of the successful candidate:

• Ability to form a core technology and data risk skillset through proactively conducting research and participating in internal and external initiatives.
• Understands and applies the major program management approaches and practices (e.g., Agile Analytics Delivery SDLC).
• Becomes familiar with technology and data risk and keeps up to date with emerging trends.
• Supports Implementation of Technology and Data Risk Solutions           
• Ability to leverage industry-leading frameworks, methods, and tools to increase effectiveness of technology and data risk solutions.
• Understands architecture design principles and development activities and is able to execute against recommended solutions.
• Develops a basic fluency of technology solutions within a specific domain, including SQL, SAS, Python, R, PowerBI, QlikSense and other relevant technologies.

Technical Competencies:

• Foundational technical knowledge in specific area and/or industry
• Basic consulting skills
• Experience in drafting of professional presentations and reports
• Basic financial knowledge and understanding
• Proficient in MS Office suite
• Business acumen

Knowledge and experience across one ore multiple areas:

• Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
• Business Analysis (including business process mapping)
• Data Modelling
• Machine Learning (ML)
• Data Management
• Data engineering (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Analytics
• SAP Analytics
• Robotics Process Automation (RPA)
• Relevant Technical fundamentals at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Good communication skills, both written and verbal
• Demonstrates ability to work efficiently and meet all deadlines consistently
• Displays initiative
• Takes accountability for delivery of own work as per instruction
• Active participation and proactive attitude to service delivery
• Meets own deadlines
• Works well within a team and with client counterparts

Qualifications

Minimum Qualifications  

• BSC Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).

Desired Qualifications    

• Postgraduate qualification

Minimum Experience Criteria

• Junior Consultant Level: 1 year + of working experience and postgrad qualification
• Consultant Level: 2 years’ + of working experience