1,991 Data Analysis jobs in South Africa

We have an opportunity for a Business Intelligence Business Analyst (BIBA) for our client based in Johannesburg and Cape Town. The role will ensure alignment between Product Owners, data chapter, and data squad teams and produce a comprehensive functional specification from business requirements by maintaining a high level of in-depth knowledge regarding analytics and other relevant data concepts.

1. Bachelor’s Degree in Computer Science or similar fields (Information Systems, Big Data, etc.) would be advantageous.
2. AWS Certification would be advantageous.
3. At least 5 years of proven experience in drafting functional specifications.
4. At least 5 years of proven BI Business Analysis, data design, and systems analysis experience in a data and analytics environment.
5. At least 5 years of stakeholder engagement experience for identifying and specifying business requirements.
6. At least 5 years of liaising between business and functional stakeholders; translating requirements experience.
7. 3+ years of Business Information Business Analysis experience in a finance/banking environment.
8. Martech (Marketing Technology) experience advantageous.
9. Related technical certifications.
10. Knowledge of Agile methodologies and project management practices, including Scrum, Kanban, and Lean.
11. Excellent communication, collaboration, and problem-solving skills.
12. Ability to work independently and in a team environment in an Agile framework.
13. Strong analytical and critical thinking skills.

Identify, clarify, and agree on data and analytics requirements. Liaise with Product Owners to understand and document their data and analytics requirements, performing analytical processes and measures related to the processes. Adopt multiple actions with stakeholders to elicit requirements using interviews, document analysis, requirements workshops, surveys, business process descriptions, user cases, scenarios, and business analysis. Provide functional knowledge and expert input during planning, design, and implementation phases of projects and initiatives between Data Chapter, Data Squad, and business. Assist stakeholders (e.g., Product Managers) with data-related scoping and planning. Apply end-to-end best practices to deliver data and analytics requirements. Ensure appropriate testing is done and provide the business with assistance during user acceptance testing. Provide the business with functional and technical assistance during data and analytics implementations. Apply business and data and analytics functional knowledge to identify possible improvement opportunities and motivate with business. Own personal continued professional development to remain current with data and analytics industry trends, particularly around data and analytics tools and technologies. Analyze, understand, and document relevant data and analytics technical requirements; perform data modeling and map the analytic solution to the relevant data sources. Work closely with the Data Architect(s) and Data Modeller(s) to design, refine, and implement analytic solutions in order to execute the functional design of the relevant data and analytics solution, including reports and dashboards. Provide input to data governance and data and analytics quality assurance; identify and communicate all risks. Perform functional testing and data validation of reports and other data and analytics deliverables before presenting them to business users. Apply data and analytics functional knowledge to identify and motivate possible data and analytics support/improvements. Facilitate the Data Product Life Cycle and application of best practice/process. Act as the custodian of the reporting catalogue; maintain the information framework and reports. Facilitate the process between all teams regarding data governance and processes.

Reverside is a Global ICT company focusing on Digital Engineering, Integration, Cyber-Security, Cloud and Digital Transformation services with delivery centres in Johannesburg and Cape Town, South Africa and Gurgaon, India. Reverside has its Global Headquarters in South Africa and is a B-BBEE Level 1 IT consulting & services organization. Reverside was founded in 2006 and has since grown to a strong team of over 300+ consultants, serving more than 40+ active clients globally.

Description

Reverside is an IT services provider; we are always looking for professional candidates to join our team in Software Development, providing opportunities to work on exciting projects, within our well-established client base. We are looking for a Business Intelligence BA Professional with 2-5 years solid experience.

Key purpose

The primary function of this job is to understand the information requirements and business processes of a client in order to write data warehouse and reporting specifications. As the business analyst in this role you will be expected to take ownership of the solution and be involved in each step of the SDLC process to ensure that the proposed warehouse/dashboard solution meets the client needs.

You will be required to:

• Understand at a detailed level how certain business processes work (Interviewing stakeholders).
• Identify, analyze and document business requirements.
• Analyze source systems and understand how information is stored and related based on the business processes (interviewing source system analysts and architects).
• Catalog and communicate the structure and content of data.
• Provide meaningful descriptions for individually named data objects.
• Produce source to target mapping documentation.
• Undertake detailed data profiling.
• Document data quality issues and work with stakeholders to formulate resolution strategies.
• Propose/assist in solutions and create logical data models for BI source implementations.
• Write dashboard/report specifications once mock-up has been agreed.
• Play an active supporting role during the development of the warehouse.
• Play an active supporting role during the development of the report/dashboard.
• Assist the Quality Assurance team to produce test plans, test cases and test scripts and write test specifications (when necessary) to ensure quality of the solution.
• Assist with testing to ensure quality of the solution (Unit, functional and data testing).

Experience

• 2-5 years of experience as business/systems analyst in building large scale data warehouses.
• 2-5 years of experience as business/systems analyst in building reports and dashboards.
• Strong analytical skills and solid experience in writing functional and technical specifications.
• Sound understanding of data modelling, both logical and physical models.
• Exposure to ETL design.

Skills

• Excellent SQL query writing experience.
• Good communication (verbal and written).
• Great attention to detail.
• MS Office (Word, Excel, PowerPoint, Access).
• MS SQL.
• MS Visio.
• Analytical.
• Data Warehousing.
• Business Analytics.

Qualifications:

• Matric.
• Relevant tertiary qualification: Bachelor of Science (Computer Science) or Bachelor of Commerce (Informatics) or any other relevant certification or diploma.

Advantageous:

• Diploma in Business Analysis.

Competencies:

• Relating and Networking.
• Persuading and Influencing.
• Presenting and Communicating Information.
• Writing and Reporting.
• Applying Expertise and Technology.
• Analyzing.
• Learning and Researching.
• Delivering Results and Meeting Customer Expectations.
• Following Instructions and Procedure.
• Adapting and Responding to Change.
• Coping with Pressure and Setbacks.

Overview

Builds and supports business intelligence and analytics initiatives to enhance departmental and organizational effectiveness, efficiency and safety. Works closely with other Information Technology staff to plan and implement strategies. Writes, clarifies, and interprets specifications for reports and translates specifications into reports. Investigates, analyzes, and evaluates customer desires to assess reporting needs. Designs, documents, develops, tests, implements, and maintains user reports. Recommends guidelines, standards, and methodology changes as needed.

• Conduct analysis of departmental, organizational, and individual information needs relative to specific assignments.
• Analyze system performance, data integrity and security requirements in development and resolution work.
• Document all phases of project and product life cycles.
• Provide technical assistance in resolving developed tools issues.
• Remain technically current in areas specifically assigned.
• Establish and continue development toward personal career goals.
• Develop or participate in development of reports, queries, scripts, and system testing strategies.
• Support and educate others in support of applications and tools developed, as well as third party applications assigned.
• Engage in SQL and other report development and in activities requiring scripting methodologies.
• Assist in any other activity as assigned.

• Bachelor's degree in computer science or related field.
• 2 years of experience in one or more of the BI-related roles listed below, or four years of commensurate experience.
• Experience with Crystal Report Development, SQL script development, and an operational understanding of the components of the technologies that support a hospital system.
• Epic Clarity report development preferred.
• Intermediate to advanced skills in the functional areas above; Advanced SQL and experience with a variety of relational databases.
• Working experience with an object-oriented language (Python, Java, C++, etc.).
• 2+ years of work experience with a BI tool (Qlik preferred).
• Strong organizational and multitasking skills with the ability to balance multiple priorities.
• Ability to build strong cross-functional relationships with other departments and work collaboratively.
• Competencies: Experience in Business Intelligence tools; expertise in database design and administration; strong knowledge of analytics and data modeling; proficiency in SQL and data mining techniques.
• Soft skills: Excellent problem-solving and analytical skills; strong attention to detail; excellent communication and interpersonal skills; ability to work independently and in a team; strong customer service orientation.

• PLEASE SEND CVS IN PDF

Overview

About us:

The Division of University Advancement (DUA) aims to sustain and enhance the University of Toronto’s academic mission, leadership, and worldwide impact, by engaging alumni and private sector constituents meaningfully in the mission of the University, building mutually beneficial relationships of increasing value and satisfaction over time. DUA at the University of Toronto is engaged in a transformative agenda deeply rooted in the University’s vision for growth and innovation. We are focused on growing fundraising efforts, enhancing the effectiveness and satisfaction of alumni engagement and programs, and building advancement talent capacity within and across divisions; creating an organization and culture that fosters diversity and inclusiveness.

The Business Intelligence unit within DUA plays a pivotal role in advancing strategic decision-making and elevating the effectiveness of development efforts. By transforming complex data into actionable insights, the unit supports leadership in setting priorities, identifying high potential prospects, and tracking performance across campaigns and programs. Additionally, the BI team provides thought leadership by shaping data-informed strategies, developing predictive models, and guiding the organization toward long-term, sustainable fundraising growth.

Reporting to the Director, Business Intelligence and Analytics, the incumbent will provide strategic technical expertise in data analysis, predictive modeling, and AI-driven insights. This includes technical project management activities such as scope, timeline estimation, and expectation management; liaison with data stewards and custodians to ensure validity and integrity of the data and BI solutions provided and establishes design standards and best practices that foster complex analysis, information exploration and data-enabled decision making by all clients.

This position requires a blend of business intelligence, analytics, AI expertise, and stakeholder collaboration to develop and deliver best in class innovative data solutions that align with the university’s advancement priorities, while fostering our Advancement values: Authentic Collaboration, Grateful Mindset, Intentional Inclusion, Trust and Transparency, Driving Impact.

• Conducting detailed data analysis to inform management decision making
• Conducting data modelling for predictive analysis
• Assessing and determining benchmarks and metrics for alumni programming and advancement activities
• Analyzing the effectiveness of campaigns and/or programs
• Advising clients and technical subject matter experts on best practice for documenting business requirements
• Probing for information to determine requirements for ad hoc data requests

• Bachelor's Degree in Geography, Urban Planning, Economics, Computer Science; or acceptable combination of equivalent experience. Courses in business process management or project management are an asset.
• Minimum five (5) years of relevant experience with manipulating, transforming, and analyzing complex, high-volume, high dimensionality data from varying sources.
• Direct experience in a fundraising/not-for-profit environment; specifically, familiarity with annual giving, major gift and planned giving prospect identification and acquisition strategies.
• Direct experience and demonstrated expertise to leverage proven techniques to elicit and analyze client needs; ability to provide key input into solutions that meet and often exceed client needs.
• Exhibit strong experimental design skills used in practice, including research questions and research design, statistical hypothesis testing, linear regression, classification, resampling methods, linear model selection and regularization, non-linear regression, tree-based methods, support-vector machines, unsupervised learning, experimental contrasts, factorial experiments, and within-subjects experiments.
• Direct experience and demonstrated expertise interpreting business objectives and drivers to shape initiatives to deliver metric driven outcomes that fulfill these business objectives including choosing and executing appropriate experimental design based on the given data science project.
• Direct experience and demonstrated expertise with manipulating, transforming, and analyzing complex, high-volume, high dimensionality data from varying sources.
• Direct experience and demonstrated expertise required on Blackbaud CRM.
• Direct experience and advanced BI visualization tool skills (Microsoft Power BI, Microsoft Excel, Power Pivot, Tableau).
• Direct experience and demonstrated expertise using statistical programming languages (SPSS, SAS, R, Python, SQL, etc.) and their associated machine learning libraries.
• Direct experience with census data, postal code-based data, spatial data, geographic data hierarchies and mapping in a geographic information systems like ARC GIS.
• Direct experience and demonstrated expertise of geodemography, demographics, segmentation and survey data including Environics Analytic’s PRIZM segmentation system, WealthScapes and Social Values databases.
• Direct experience and demonstrated expertise employing a variety of machine learning techniques (e.g., random forest, KNN, Apriori, K-means, Markov decision process, SVM, dimensionality reduction algorithms, gradient boost algorithms, deep learning algorithms, and collaborative filtering algorithms) and their real-world benefits/drawbacks.
• Direct experience and demonstrated expertise of data cleaning and feature engineering to prepare the data into a format suitable for machine learning algorithms.
• Direct experience with web tools like Jupyter Notebooks and Azure Machine Learning Studio.
• Ability to manage multiple resources effectively through collaboration and influence. Strong communication and presentation skills are required.
• Understand data governance technology landscape, processes, and design principles.
• Understand and champion the role of Data Governance function within an organization to enable their data and analytics strategy with a focus on business drivers, ensuring the right policies, standards and structures are put into place.
• Possesses a critical perspective on the social, policy, and ethical dimensions of data.

• Meticulous
• Organized
• Responsible

Note: This is a two-year term position.

Closing Date: 10/01/2025, 11:59PM ET

Employee Group: USW

Appointment Type : Budget - Term; This is a 2-year term position.

Schedule: Full-Time

Pay Scale Group & Hiring Zone:
USW Pay Band 15 -- $97,348 with an annual step progression to a maximum of $124,491. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.

Job Category: Information Technology (IT)

Recruiter: Fiona Chan

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact

Make an impact with NTT DATA
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.

The Business Intelligence Analyst is a seasoned subject matter expert, tasked with participating in the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.

This role is required to transform data into critical information and knowledge that can be used to make sound business decisions and is also responsible for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data.

• Analyzes 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.
• Accountable for contributing to the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
• Works across multiple teams, to ensure analytics are valid, meaningful, and provides actionable and comprehensive insights.
• Extracts and analyzes data, statistics, and information from various sources and interpret and produce 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.
• Ensures that the client receives the required support to implement recommendations and solutions.

• Good understanding of data mining principles, predictive 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.
• Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
• 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.
• Technical expertise and knowledge of statistical concepts.
• Ability to identify trends, business opportunities, etc.
• Excellent awareness of critical business issues and priorities.
• Good understanding of statistical analysis and reporting packages.

• Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred

• 3+ years of experience in BI development, with a strong focus on Power BI.
• Proficiency in:
  • Power BI Desktop and Power BI Service
  • DAX (Data Analysis Expressions)
  • Power Query (M language)
  • SQL for querying and transforming data
• Experience with data modeling, star/snowflake schemas, and performance tuning.
• Familiarity with Microsoft Azure (e.g., Azure SQL, Synapse, Data Factory) is a plus.
• Understanding of data governance, security, and compliance (e.g., POPIA, GDPR).

Hybrid Working

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.

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.

Overview

Business Intelligence Analyst at Doctors without Borders (MSF) Southern Africa – Johannesburg

Deadline: 30 September 2025

Type of employment: Temporary

Johannesburg

• Basic Salary: R
• 10% additional pension allowance
• 13th Cheque - November (Pro-rata)
• 100% Medical Aid Contribution
• Transport allowance
• Cell phone allowance
• Resources needed, such as working space, computer, internet, stationery, and other resources, will be made available.

4-Month Contract

15 October 2025

• Develop and present actionable insights, strategic recommendations and business intelligence from analytical output to support strategic decisions on investments.
• Participate in the fundraising income and investment forecasting process by providing data analysis and process recommendations.
• Develop a comprehensive annual budget system and planning (including provision of the calculation bases).
• Develop strategic segmentation proposals and continuous optimisation based on the analysis
• Participate in benchmark studies.
• Participate in the strategic evaluation, post-processing and action derivation of benchmark results.
• Develop and maintain an evolving technology stack (integration, data warehousing, report building, predictive analysis) to assist in long-term strategy and planning.

• Establish fundraising metrics (KPIs) for the different fundraising acquisition and cultivation channels and provide insight/recommendations on comparative fundraising results from previous years and/or from the MSF movement or the SA market.
• Responsible for building, continuously developing and maintaining a reporting system (reports and dashboards) for the fundraising department and various campaigns (Acquisition, Retention, digital and one-to-one program).
• Assist and train campaign managers in KPI and campaign analysis, as well as report use.
• Work with the international Data Analyst and the BI tool to forecast the annual revenue.
• Make targeted and actual reconciliation of revenue and expenditure during the review cycle (6M, 12M)
• Identify causes for actual and forecast deviations on KPIs and give advice regarding the need for action.
• Illustrate data graphically and translate complex findings into written text, reports and visual presentations
• Analyse MSF Southern Africa data and benchmark against the market and/or other MSF offices.

• Develop a strategic analysis of different donor segments/portfolios and corresponding recommendations for action
• Develop and create the donor profile analysis with external service providers
• Create a statistical model that forecasts cancellation rates and trends, including lifetime value. Share results with channel/ campaign owners.
• Analyse key drivers of cancellations and recommend changes to the donor experience/journey.
• Provide data-driven recommendations on the donor journey through analysis of revenue-generating and retention activities.
• Assist in rating donors and prospects in terms of inclination and capacity to donate, and consult with the fundraising team on cultivation and solicitation strategies during pipeline management sessions.

• Develop the BI structure of MSF Southern Africa Fundraising within the technology stack
• Develop BI tools/technology stack to support fundraising decisions
• Build data model for use in data visualisation
• Conduct modelling and mining data with high accuracy and applicability to answer key business needs (with service provider)
• Identify opportunities to optimise data processing (incl. campaign management and marketing automations), automation and interpretation with Database Manager.
• Creation/optimisation of guidelines for data analysis/controlling.
• Implement robust methodologies with checks to ensure high data quality
• Support Database Manager to develop proper coding system to allow proper results analyses
• Recommend new methods and procedures to the internal clients
• Identify opportunities for improvement of the MSF database to improve the quality of reports and analyses
• Be responsible for ensuring the accuracy of data and reports to meet high-quality standards
• Work with the Database coordinator and external vendors to scope out and implement new reports and tools as needed
• Pull data from databases for own use or vendors use

• Manage business intelligence vendors and be the focal point between the team and all the BI vendors.
• Manage the demands appropriately, prioritising properly and respecting the deadlines.
• Propose, manage or support any BI-related projects
• Actively participate in the international data analysis working group
• Support the Fundraising and Finance Department during annual audits

• A college or university degree in Statistics, Mathematics, Economics or related fields
• 5+ years working in statistics or business data analysis
• Demonstrate proficiency with BI and stats tools and systems
• Demonstrate proficiency with data modelling and segmentation
• Demonstrate proficiency with reports and dashboards development
• Must possess knowledge of direct marketing and statistical principles as well as data management software
• Experience in vendor management

• Result and quality orientation
• Strategic thinking
• Initiative and innovation
• Teamwork and cooperation
• Excellent analytical, organisational and communication skills
• Self fulfilment
• Advanced knowledge of database uploads and extractions, data manipulation, data modelling, segmentation and Business Intelligence tools
• Advanced knowledge of Microsoft Office software
• Knowledge of fundraising is a strong plus
• Data-processing and information management skills
• Heavy analytics, information systems and data science skills
• Creative problem solver, with meticulous attention to detail
• Critical thinker, confident to transform data and information into structured systems and reports
• Highly organised with strong project management skills
• Ability to work under pressure and meet deadlines
• Good interpersonal skills, capacity to work both independently and with a dynamic team in a fast-paced office environment
• Familiarity with and interest in international aid/relief, humanitarian, medical, social justice and/or global political issues

Apply here

Only shortlisted candidates will be contacted.

More about this vacancy

16 September 2025

Overview

Momentum Bellville, Western Cape, South Africa

Join to apply for the Business Intelligence Manager role at Momentum .

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations. We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Metropolitan provides practical financial solutions for people, communities, and businesses.

Role Purpose

Manage the design and delivery of business intelligence and analytics solutions that provide business with the necessary data and insights that drive business decision making, operational excellence, business performance and service excellence.

• Valid Matric Certificate
• B-Degree in Data Science, Computer Science, Business Analytics, Statistics, Engineering or equivalent quantitative qualification
• Master degree (Preferable)

• Business process knowledge
• Knowledge of business intelligence and data analytics systems, programmes and processes
• Knowledge of financial service industry

• Communication skills
• Interpersonal skills
• Problem-solving skills
• Reporting skills
• Business acumen
• Data analysis skills

• 7 – 10 years business intelligence, management information systems or data analytics experience
• 3-5 years management experience
• Strong SQL and Data Warehouse/Data Lakes experience
• Proficient in Power BI and/or other Data Visualisation tools, like QlikView and Tableau
• Experience in Leading Data Migration Projects (Advantageous)
• Experience in IBM Cognos platform (Advantageous)

• Develop and execute Business Intelligence strategies to enable business to leverage off its data and analytical assets
• Design and implement business intelligence tools and systems, including data warehousing, visualization, and reporting tools; Design, develop and maintain BI dashboards and reports
• Implement data modelling and organize complex data sets
• Identify trends and patterns in data to help improve business performance
• Elicit the business requirements and uncover business opportunities, resulting functionality, data and processes needed in order to recommend the appropriate solution
• Manage the delivery of data requests and maintenance of scheduled reports
• Accelerate the automation of reports and solutions
• Act as Data Officer and effectively manage the delivery of Statutory and Regulatory reporting

• Provide frameworks to best identify, understand, and interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring activities
• Oversee the data sourcing, data models and data mining activities to support descriptive and trend analysis within the business environment
• Implement and manage data quality practices, measures and tools to ensure credible and trusted data, information, analyses and insights that are fully compliant to applicable legislation and industry standards
• Oversee the design and implementation of accurate, reliable and timeous metrics and reports to the business
• Oversee the delivery of data models, reports and insights that proactively identify risks within business, provide insight into business metrics
• Ensure and continuously improve the optimisation of data models, tools and solutions
• Actively pursue opportunities to assist business to identify risks and exposure and the prevention of losses through early detection and prevention processes
• Proactively Identify financial and business risks to the company and escalate accordingly
• Manage BI related projects to ensure the modernisation and optimisation

• Provide authoritative, expertise and advice to clients and stakeholders
• Build and maintain relationships with clients and stakeholders
• Contribute to the process of negotiating objective and realistic service level agreements, monitor appropriateness and recommend adjustments
• Deliver on service level agreements made with clients and internal and external stakeholders in order to ensure that client expectations are managed
• Make recommendations to improve client service and fair treatment of clients within area of responsibility
• Participate and contribute to a culture which builds rewarding relationships, facilitates feedback and provides exceptional client service

• Lead and develop a team of data professionals
• Create a positive work climate and culture to energise employees, give meaning to work, minimise work disruption and maximise employee productivity
• Demonstrate exemplary leadership behaviour, through personal involvement, commitment and dedication in support of organisational values
• Drive a culture that guides and directs best practice, fostering an environment of continuous learning, improvement and cohesiveness
• Enable a learning and growth culture whereby information regarding successes, issues, trends and ideas are actively shared between team members
• Identify employee growth and development needs and schedule interventions to enable ongoing development, training and personal growth
• Effectively manage performance within the team in order to ensure business objectives are achieved
• Encourage innovation, change agility and collaboration within the team

• Compile and control budgets to minimise expenditure in alignment with tactical delivery plans
• Control the budget for area, including the authorisation of expenditures and implementation of financial regulations
• Manage high risk and problematic financial issues in area of accountability and contribute to the development of policy
• Implement and manage financial risk methodologies, techniques and systems and use to monitor and report on financial activities
• Implement and provide feedback on the effectiveness of financial policy, practice and procedures: preventing illegal, unethical or improper conduct
• Implement risk management, governance and compliance policies in own practice area, to identify and manage governance and risk exposure liability

• Examining Information
• Developing Strategies
• Directing People
• Interpreting Data
• Articulating Information
• Valuing Individuals
• Providing Insights
• Challenging Ideas

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Research, Analyst, and Information Technology

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