10 Sales Data jobs in Sandton
Manager: Data and Analytics
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Job description:
Join Us in Becoming the Best Bank in the World
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.
Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.
Why choose us:
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.
About the role:
As the Manager: Data Science/AI at Capitec, you will lead the bank's AI and advanced analytics initiatives, driving innovation and enabling data-driven decision-making across the organization. Your role will focus on defining and implementing a forward-thinking AI strategy while fostering a high-performing team of data scientists to deliver impactful AI/ML solutions aligned with business objectives.
You will be at the forefront of identifying AI-driven opportunities, overseeing the development and deployment of cutting-edge models, and ensuring alignment with ethical and compliance standards. By collaborating closely with stakeholders, you'll help position Capitec as a leader in leveraging AI for business innovation and growth. Additionally, you'll mentor your team to maintain high standards in AI/ML model quality and operational excellence, promoting a culture of continuous learning and data-driven innovation.
Our ideal candidate has:
- Over 5 years in AI/ML model development and deployment, including 2 years as a manager or team lead within an analytical team.
Managing senior and executive level stakeholders and influencing decision making at these levels
- Using AI frameworks such as TensorFlow and PyTorch to deploy with whilst using Python, SQL, Pyspark
- Hands on experience integrating AI Models into applications and services
- Big data frameworks – Hadoop/Kafka
- Github experience or Git
Ideal:
- AWS experience
Competencies:
- Simplify and make it easy
- Earn and extend trust
- Plan, deliver and raise the bar
- Curious and continuously learns
- Act, learn and adapt
- Inspire optimism and persistence
- Have courage, disagree and commit
Education:
- Completed an Honors Degree or higher
If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals
Manager: Data and Analytics
Posted today
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Apply By
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
- To see what life at Capitec is all about and complete a short assessment, please click here
- Once you have completed the above finalize your application by clicking apply below.
Join Us in Becoming the Best Bank in the World
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.
Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.
Why Choose Us
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.
About The Role
As the
Manager: Analytics Engineering
at Capitec, you will play a pivotal role in designing and managing scalable data pipelines and ensuring efficient analytics operations to empower data-driven decision-making. Your focus will be on driving innovation in data integration and feature store development, enabling seamless collaboration between data science and BI teams.
In this role, you will lead the creation of robust feature stores to support AI/ML model development and semantic models for enhanced analytics and reporting. You'll ensure the alignment of data engineering solutions with analytics platforms while upholding best practices in data engineering and governance. By fostering collaboration and implementing cutting-edge solutions, you will contribute to Capitec's growth as a leader in advanced analytics and data-driven insights.
Our Ideal Candidate Has
- Over 5 years in data engineering or analytics engineering, including 2 years as a manager or team lead within an analytical team.
- Proficient in SQL and delivering complex analytical requirements.
- Managing senior and executive level stakeholders and influencing decision making at these levels
- Utilising data Pipelining tools such as Apache, Airflow, AWS Glue
- Data visualisation with tools such as PowerBI
- Big data frameworks – Hadoop/Kafka
- Github experience or Git
Ideal
- AWS experience
Competencies
- Simplify and make it easy
- Earn and extend trust
- Plan, deliver and raise the bar
- Curious and continuously learns
- Act, learn and adapt
- Inspire optimism and persistence
- Have courage, disagree and commit
Education
- Completed an Honors Degree or higher
If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
National Sales Professional: Insights Initiatives
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Role Overview:
The candidate that will take on a dynamic national sales position, will be directly reporting to the Head of Sales. This role is centered around driving revenue and expanding market share within well-defined segments, equipped with a compelling market-ready value proposition. To achieve these goals, the individual must cultivate, nurture, and grow relationships with key strategic clients. The automotive sectors to be targeted include motor retail (Dealers), manufacturers, importers, and financial services.
Role Responsibilities:
- Develop, lead and implement a targeted sales plan introducing a new strategic sales initiative.
- Develop and report on the sales plan by month and align action plans to exceed revenue budget.
- Manage all client engagements, presentations, proposal development and client onboarding.
- Track customer usage and proactively drive value to said clients.
- Build meaningful relationships while applying a strong problem-solving mindset.
- Work closely with internal stakeholders to manage the expectations of identified key clients.
- Coordinate the involvement of company personnel, including support, service, and management resources, in order to meet account performance objectives and customers' expectations.
- Lead solution development efforts that best address customer needs, while coordinating the involvement of all necessary company personnel.
- Plays advisory role by providing client consultation on service and industry initiatives.
- Responsible for understanding the Client's organisation and structure, knowing the Client's product/services and staying aware of Client news and changes.
- Communicates, monitors and assures proper billing procedures.
- Understands the client's strategy and roadmap.
- Establishes and promotes goodwill with customer. Reviews client issues, tasks, projects and new initiatives and contacts customer as a follow-up activity.
Qualifications:
- Post Grad or Degree in Business Management preferred.
Experience:
- Strong Sales, Business Analysis/ Key Account experience.
- 10 Years in Automotive industry either at OEM, retail level and/or automotive service provider level.
- Deep understanding of vehicle acquisition processes within sales and aftersales environment within OEM and/or retailers.
Technical Skills:
- Microsoft Outlook, Word, Excel, and Power Point proficiency.
- Strong interpretive skills when working with data.
- Strong analytical proficiency.
Executive: Data & Analytics
Posted 6 days ago
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This role is for a visionary leader who thrives at the intersection of business, technology, and innovation. Youll get the autonomy to influence C-suite decisions, work with best-in-class tech (Azure Synapse, SQL, metadata and MDM platforms), and lead the charge in setting the companys long-term data direction.
Key Responsibilities:
- Lead the design and execution of the organization's data management and analytics strategy, aligned with business priorities.
- Champion data governance, quality, and compliance to meet South African regulatory standards.
- Oversee the architecture, ingestion, and maintenance of enterprise-wide data, ensuring consistency and reliability.
- Drive analytics use cases for key support functions (Finance, Risk, HR, and Actuarial), embedding data insights into day-to-day decision-making.
- Collaborate with IT to maintain scalable and compliant data infrastructure and pipelines.
- Build and lead a high-performing team, fostering a culture of ownership and performance excellence.
Job Experience and Skills Required:
- Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or similar (Masters preferred).
- 8+ years in data, analytics, or tech-related roles within financial services, telecoms, or insurance.
- 3+ years in a senior leadership or enterprise data management capacity.
- Proven success in implementing large-scale data governance, analytics, and architecture strategies.
- Strong technical background in Azure Synapse, SQL, and data integration tools.
- In-depth understanding of South African data governance and regulatory compliance.
- Strategic thinker with the ability to bridge business and technology.
- Strong communication and presentation skills - confident engaging with executives.
- Ability to lead, coach, and inspire a multi-disciplinary data team.
- Passion for driving continuous improvement and innovation through data.
Apply now!
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Head, Data Analytics
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Job Overview
Business Segment: Insurance & Asset Management
Location: ZA, GP, Roodepoort, 4 Ellis Street
Job Type: Full-time
Job Ref ID: A-0001
Date Posted: 10/2/2025
Job Description
To develop either Business Unit/Corporate Function analytics strategies and framework(s) aligned to Standard Bank Group data and business strategies. To lead and manage a team across a variety of data, processing capabilities and technologies in order to deliver high quality analytics that provide model and customer decision strategies. To be responsible for the time, cost and quality of projects delivered by the team, according to the model risk policy and deployed into operational processes.
Qualifications
Type of Qualification: Masters Degree
Field of Study: Mathematical Sciences
Type of Qualification: Post Graduate Degree
Field of Study: Mathematical Sciences
Experience Required
5-7 years
Fluency in data analysis tools, techniques, and visualisations (for e.g. Advanced Excel, Looker, Tableau, etc). Proven experience in combining complex data signals and campaign results into actionable insights and recommendations. Proficiency in performing statistical analysis in SAS/R/Python for purposes of guiding and overseeing Business Analytics work.
5-7 years
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities.
8-10 years
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities. Experience creating business value from data analysis.
Additional Information
Behavioural Competencies:
Empowering Individuals
Establishing Rapport
Generating Ideas
Inviting Feedback
Making Decisions
Providing Insights
Resolving Conflict
Showing Composure
Technical Competencies:
Machine Learning and Deep Learning
Data Visualization
Big Data Technologies
Natural Language Processing (NLP)
Cloud Computing
Data Engineering
AI Ethics and Fairness
Predictive Analytics
Real-time Data Processing
Automated Decision-Making
Customer Insights and Personalization
Operational Efficiency
Risk Management
Innovation and Research
Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on or
Data Analytics – Manager
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*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).
*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, Python etc.)
- Business Analysis (including business process mapping)
- Data Modelling
- 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
- Relevant Technical fundamentals at that point in time to what the market is procuring
*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
*Experience *
7+ years relevant working 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.
Head, Data Analytics
Posted today
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Company Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector's most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We're passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.
Job Description
To develop either Business Unit/Corporate Function analytics strategies and framework(s) aligned to Standard Bank Group data and business strategies. To lead and manage a team across a variety of data, processing capabilities and technologies in order to deliver high quality analytics that provide model and customer decision strategies. To be responsible for the time, cost and quality of projects delivered by the team, according to the model risk policy and deployed into operational processes.
Qualifications
Type of Qualification: Masters
Degree
Field of Study:
Mathematical Sciences
Type of Qualification:
Post Graduate Degree
Field of Study:
Mathematical Sciences
Experience Required
5-7 years
Fluency in data analysis tools, techniques, and visualisations (for e.g. Advanced Excel, Looker, Tableau, etc). Proven experience in combining complex data signals and campaign results into actionable insights and recommendations. Proficiency in performing statistical analysis in SAS/R/Python for purposes of guiding and overseeing Business Analytics work.
5-7 years
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities.
8-10 years
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities. Experience creating business value from data analysis.
Additional Information
Behavioural Competencies:
- Empowering Individuals
- Establishing Rapport
- Generating Ideas
- Inviting Feedback
- Making Decisions
- Providing Insights
- Resolving Conflict
- Showing Composure
Technical Competencies:
- Machine Learning and Deep Learning
- Data Visualization
- Big Data Technologies
- Natural Language Processing (NLP)
- Cloud Computing
- Data Engineering
- AI Ethics and Fairness
- Predictive Analytics
- Real-time Data Processing
- Automated Decision-Making
- Customer Insights and Personalization
- Operational Efficiency
- Risk Management
- Innovation and Research
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Principal Data Analytics Specialist
Posted 10 days ago
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Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Principal Data Analytics Specialist is a highly skilled expert tasked with managing the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.
This role plays an important role in turning data into critical information and knowledge that can be used to make sound business decisions and is accountable for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data.
This role is required to have deep expert technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.
**Key Responsibilities:**
+ Advises on complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
+ Creates specifications for reports and analysis based on business needs and required or available data elements.
+ Develops, defines, enhances and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
+ Works cross functionally, using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights.
+ Ensures that data across various platforms, including social media, and present trends and patterns is analyzed.
+ Designs, develops and maintains business intelligence reports and analytics.
+ Extracts and analyzes data, statistics, and information from various sources and interprets and produces the relevant reports, summaries, and briefing notes that will be used to inform business decisions.
+ Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.
+ Optimizes visual information for easier consumption and actionable metrics.
+ Identifies and maintains processes for ensuring data accuracy and current relevance and representation.
+ Provides recommendations process improvements to streamline data collection and report generation.
+ Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.
+ May be required to coach and develop team members on data analytics and related tools to achieve required business outcomes.
**Knowledge and Attributes:**
+ Good understanding of data analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
+ Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
+ Excellent analytical, problem-solving, and communication skills.
+ Excellent ability to work independently and collaborate across multiple teams and build sound working relationships.
+ Excellent understanding of current data protection and privacy laws.
+ Passionate about achieving results and statistics.
+ Excellent awareness of critical business issues and priorities.
+ Good understanding of PowerBI as a reporting package.
**Academic Qualifications and Certifications:**
+ Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.
**Required experience:**
+ Extended demonstrated experience working in an analytics capacity.
+ Experience in MS Azure , PowerBI , Fabric
+ Additional skills in Snowflake and Databricks will be advantage
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
Data Analytics and Reporting Analyst
Posted today
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PURPOSE OF THE JOB:
Provide data analytics and insight capability across the organization
QUALIFICATIONS:
- Grade 12
- National Diploma in Information Technology or related
- Plus, data and insights industry related certificates
TRAINING:
- Data and insights
- Business intelligence
- Advanced knowledge of SQL (including Oracle) and Excel
EXPERIENCE:
- Minimum 4 years hands on experience on data analytics and reporting
- Experience of developing and delivering analytics dashboards and reporting
- Strong data & analytical skills and track record of delivery
- Experience with data manipulation and visualization suites such as Power BI
HEADLINE KEY RESULT AREAS:
- Assist with management of Data and engagement of stakeholders - Data Analysis with high visualization (Data exploration, cleansing, transformation, modelling, insights and up to effective use of data). Make the best use of data to manage Foskor.
- Assist on management of Projects and development - Planning, execution, control and monitoring of data related projects.
- .Assist in Effective Management of Security, Risk, and Data governance related - Data Governance. Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders through data. Use data and information to provide risk-related insights and recommendations
- Customer engagement - Work with relevant stakeholders (internal and external) to ensure data is up to date, accurate and compliant with all data protection requirements. Insights and report custodian and first point of contact. Develops and maintains reporting models to provide all user levels with insight.
Head Data and Analytics
Posted today
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Job Description
The Head Data and Analytics is responsible for leading the strategic direction, development, and implementation of data
analytics initiatives across the organisation. This role ensures that data-driven insights align with business needs,
enhance operational efficiency, and support the organisation's strategic objectives. This role's primary purpose is to
establish and drive a data-driven culture, transforming raw data into actionable insights that inform critical business
decisions, optimise operations, and identify new opportunities for growth and efficiency.
Key Performance Areas:
Data Governance and Risk
- Define and execute the enterprise data strategy.
- Build and mature advanced analytics capabilities (including business intelligence, predictive modelling, and
potentially AI/ML applications). - Ensure robust data governance and quality.
- Lead data compliance with regulatory frameworks and internal governance.
- Implement data risk reporting and mitigation strategies.
- Maintain data security and business continuity plans.
Data Operations and Service Delivery
- Partner closely with business units and technology teams to translate complex data findings into clear, impactful
strategies and measurable outcomes. - Alongside the IT team, lead data-driven innovation for the enterprise, including investigation, adoption, and
exploitation of artificial intelligence. - Oversee the delivery of reliable, cost-effective, and innovative data services.
- Manage data infrastructure, software licensing, and refresh cycles.
- Ensure high-quality data systems and services across the organisation.
Strategic Focus
- Set and communicate the strategic direction for data analytics in collaboration with the other executives to all
internal and external stakeholders. - Develop the long terms and short-term strategy and plan, aligned to budgets.
- Develop and maintain enterprise-wide data architecture and operational plans.
- Ensure alignment of data initiatives with the organisation's strategic goals, priorities, and deliverables.
- Offer direction on implementing the strategy to effectively show commitment to it.
- Lead and advances digital transformation initiatives by harnessing data-driven technologies to boost operational
efficiency, enhance service delivery, and create new avenues of value within the DBSA. - Expand the organisation's research and analytics capabilities, prioritising emerging analytical methods, skills,
and technologies to accelerate digital business innovation and transformation. - Discover opportunities to enhance and refine data capabilities, proactively monitoring industry trends and
integrating new technologies as applicable. - Identify novel types, forms, and sources of trustworthy data to foster business value innovation across the
organisation. - Cultivate a culture of innovation, continually seeking emerging technologies and best practices to modernise
operations and deliver impactful data-driven solutions. - Advocate for customer-focused and future-oriented data solutions.
- Champion the advancement of data literacy throughout the organisation.
Stakeholder Management
- Build and maintains strong relationships with internal and external stakeholders such as EXCO, and the Board
as well as government entities, commercial banks, development partners, and community representatives, to
drive shared objectives. - Build and manage strategic partnerships with national, provincial, and local government stakeholders.
- Manage external vendors and negotiate data acquisition contracts.
- Represent the organisation in data-related engagements with external partners.
- Navigate complex stakeholder landscapes, influencing outcomes and fostering consensus to achieve strategic
goals.
People Management
- Lead, mentor, and develop a high-performing team, fostering a culture of collaboration, accountability, and
continuous learning to maximise individual and collective potential. - Lead the data analytics business unit and ensure effective execution of strategy.
- Implement human capital strategies and workforce planning.
- Foster a culture of performance, learning, and collaboration.
- Drive talent development initiatives, including coaching, performance management, and career pathing, to build
and retain a skilled and motivated team. - Contribute to building synergies & cooperation across functions in the DBSA.
- Living the DBSA values.
Reporting and Governance
- Establish and enforces robust governance frameworks and reporting mechanisms to ensure transparency,
compliance, and effective decision-making across all operations. - Ensure timely and accurate reporting of key performance indicators, risks, and progress against strategic
objectives to relevant internal and external bodies.
Key measurements of outputs:
Successful roll-out and adoption of data strategy across the organisation
Number and quality of analytics solutions developed and implemented, business impact of D&A by linking use cases
to business outcomes.Time from insight to action by monitoring how long it takes before D&A insights are acted upon (e.g., projects
delivered, platforms implemented and supported, number of D&A users, usage metrics).Reduction of number of reports generated across the bank.
Increase in business decisions made using data insights.
Improvement in data accuracy and completeness
Reduction in costs related to data management and analytics operations
Increase in return on investment from data initiatives
Increase in user adoption of data tools and platforms
Improvement in data literacy among employees
Management of team performance, talent development, and succession planning using the performance
management system.
Qualifications and Experience:
Qualifications:
Bachelor's degree in Information Technology, Engineering, Mathematics, Computer Science, Information Systems,
Actuarial Science or Data Science.Postgraduate qualification in Data Analytics or Business Administration, and certifications in data governance, project
management, or enterprise architecture.
Experience:
Minimum 12 years of experience with 5+ years in a management role.
Extensive experience in data management, analytics, and business intelligence, with a proven track record of leading
successful data-driven projects.Experience with modern data tools and platforms, such as big data technologies, machine learning frameworks, and
data visualisation tools.Strong track record in aligning data initiatives with business strategy.
Strategic data planning and enterprise data architecture and integration.
Data strategy development aligned with corporate vision.
Data governance, compliance, and risk management.
Project and programme management (including multi-million-rand data projects).
Systems integration, infrastructure, and data centre operations.
Knowledge of data security, virtualisation, and green technologies.
Budgeting and cost-benefit analysis for data investments.
Strong understanding of software, hardware, and telecommunications systems.
Regulatory frameworks (e.g., King III, data governance).
Data procurement and vendor management.
Disaster recovery and business continuity planning.
Technical Competencies:
Digital Literacy:
- Conduct research and has awareness of the latest trends in the digital space that affects the Organisation and the business
unit. - Seek out innovative approaches and interventions to improve digital agility.
- To identify technical problems when operating devices and using digital environments, and to solve them (from
troubleshooting to solving more complex problems). Stay abreast of latest trends and incorporate it in driving change in the
business.
Data Collection and Analysis:
- Through a mastery of advanced/complex analytical techniques, establishes highlevel trends from processed data which may not be immediately apparent.
- Moves beyond concrete analysis of factual information to develop abstract, conceptual understanding of the meaning
of an array of information. - Integrates diverse themes and lines of reasoning to create new insights or levels of understanding.
Data Management:
- Defines a backup strategy in line with the disaster management strategy.
- Monitors file storage policy compliance by users, identify concern areas and address the same.
- Defines parameters for backup testing and monitors the same. Conducts detailed backup tests to assure data integrity.
Strategic Planning:
- Establishes challenging, attainable goals and objectives based on a customer focus perspective.
- Looks to the future with a broad perspective.
- Ensures performances measures are in place to monitor progress and assess accomplishments and achievement of strategic goals and objectives.
- Develops initiatives to achieve goals and objectives.
- Articulates the vision and plans to others.
Knowledge Management:
- Identifies, develops, and articulates knowledge management strategies that will add value to the organisation.
- Engages with thought leaders within and outside the organisation to identify the value of knowledge and information to the organisation and develop a knowledgebased vision.
- Ensures that knowledge management strategies are embedded within corporate strategies and key business processes.
- Fosters a knowledge and information rich culture and ensures that knowledge management competencies are recognised as core competencies of the organisation in order to develop individual and organisational capability.
- Fosters the development of appropriate knowledge and information assets and the adoption of effective knowledge management processes, tools, and standards.
Reporting:
- Designs, reviews, and improves reporting processes and provides guidance.
- Leads production of complex environment reports, takes an editorial role, determines content and level of detail, and ensures consistent messaging and branding.
Data Collection and Analysis:
- Through a mastery of advanced/complex analytical techniques, establishes highlevel trends from processed data which may not be immediately apparent.
- Moves beyond concrete analysis of factual information to develop abstract, conceptual understanding of the meaning of an array of information.
- Integrates diverse themes and lines of reasoning to create new insights or levels of understanding.
Leadership/Behavioural Competencies:
Analytical Thinking:
- Identifies multiple elements of a problem and breaks down each of those elements in detail, showing causal relationships between them.
- Uses several analytical techniques to identify several solutions and weighs the value of each.
Information Seeking and Analysis:
- Analyses relationships among several parts of a problem or situation.
- Anticipates obstacles and thinks ahead about next steps in detail.
Leading and Empowering Others:
- Identifies long-term goals for the team and communicates them to team members, ensuring their buy in.
- Sets a good example by personally exercising desired behaviour, acts on
values and beliefs. - Communicates a vision for the team and future success that inspires team members.
- After assessing others' competence, one delegates full authority and responsibility to others to do a task in their own way.
- Ensures that competent employees are given opportunities to further their careers.
Leading and Managing Change:
- Anticipates the need for change when not obvious and influences others to gain support.
- Builds sustainable business and organisational capacity to embrace and thrive on change.
- Re-engineers and aligns structures, processes, and practices to support and sustain the desired change.
Strategic and Innovative Thinking:
- Understands connections and trade-offs of strategic choices to evaluate which ideas are practical and possible by considering business and/or scientific implications.
- Develops innovative business and/or customer solutions that shape industry practices.