629 Competitive Intelligence jobs in South Africa

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

About the role

As a Business Intelligence Analyst with a strong focus on credit analytics, you will work with large, complex datasets, transforming data into clear, actionable insights that support strategic priorities. This is a hands-on, technical role requiring strong data skills, and the ability to work independently while driving projects from concept to delivery.

• A tertiary qualification in Mathematics, Statistics, or Computer Science.
• Strong credit experience with the ability to manage credit requests, perform ad hoc analysis, and support the credit team.
• At least 5 years experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle.
• Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
• Experience with stakeholder engagement
• Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
• Experience in building data visualisations using tools such as Power BI
• Experience of using SQL to prepare and analyse data

• Knowledge and basic experience in using low / no code AutoML on modelling tools such as Power BI or AWS SageMaker
• Design thinking
• Dimensional Modelling
• The Data Product Life Cycle (DPLC)
• Knowledge of data privacy and security regulations and best practices
• Knowledge and understanding of data quality and incident management
• Knowledge and experience of agile project management methodology

• Previous experience working in business analysis in the banking sector
• Knowledge of change management principles and practices

• Clear criminal and credit record

Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.

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.

Key Responsibilities:

• 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.

Knowledge and Attributes:

• 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.

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:

• 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).

Workplace type:

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.

Join to apply for the Business Intelligence Analyst role at NTT DATA, Inc. .

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 transforming data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies. This role is responsible for transforming data into critical information and knowledge to support sound business decisions and for establishing 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.
• Contributes 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 provide actionable and comprehensive insights.
• Extracts and analyzes data, statistics, and information from various sources and interprets and produces the relevant reports, summaries, and briefing notes 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.
• 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 and business opportunities.
• 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 move organizations and society 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.

• Mid-Senior level

• Full-time

• Research, Analyst, and Information Technology

• IT Services and IT Consulting

Reference: JHB -FE-1

Job Type: Permanent
Location: Gauteng - Johannesburg

About Us:
Join our vibrant team at a leading telecommunications company dedicated to fostering equal interaction and transactions for all in South Africa!

Job Summary:
As a Business Intelligence Analyst, you'll dive into data to uncover insights, support decision-making, and craft innovative solutions. Get ready to make a difference and have fun doing it!

Responsibilities:

1. Analyze data to drive strategic decisions.
2. Develop creative solutions to meet business needs.
3. Collaborate with stakeholders to enhance reporting.
4. Keep our team informed with timely and accurate information.

1. Bachelor’s degree in computer science or related field.
2. Minimum 5 years’ experience in a similar role.

Would you like to work for a leading African Integrated Workplace Management Solutions Provider that is dedicated to development and equal opportunity employment? This is the role for you!

Hybrid working Model in Sandton

Skills needed:

• Diploma in IT or Computer Science BSc preferable
• 5+ years experience
• Must have Qliksense or Qlikview experience
• SQL
• SSIS
• Must have ERP experience
• Must be South African Citizen
• Must be Covid Vaccinated or be willing to be

R 65000 - R 75000 - Monthly plus Medical Aid, pension, and 2 bonuses.

Join to apply for the Business Intelligence Analyst role at NTT DATA, Inc. .

The Business Intelligence Analyst is a seasoned subject matter expert, tasked with transforming data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies. This role is responsible for transforming data into critical information and knowledge used to make sound business decisions and for establishing systems and tools that 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 analyses based on business needs and available data elements.
• Contributes to the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insights and recommendations on trends.
• Works across multiple teams to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights.
• Extracts and analyzes data, statistics, and information from various sources and interprets and produces the relevant reports, summaries, and briefing notes that inform business decisions.
• Collaborates with internal stakeholders to translate needs into data reports, insights, and extracts.
• Provides the client with required support to implement recommendations and solutions.

• Good understanding of data mining principles, predictive analytics, and data mapping; experience collecting data from multiple 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 large data sets and convert insights into strategic opportunities.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively across multiple teams and build strong working relationships.
• Understanding of current data protection and privacy laws.
• Strong drive to achieve results and statistics; familiarity with statistical concepts.
• Technical expertise and knowledge of statistical concepts.
• Ability to identify trends and business opportunities.
• Awareness of critical business issues and priorities.
• Strong 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.