409 Senior Data Analyst jobs in South Africa

Overview

As a Data Analyst, you will be responsible for gathering, analysing, and interpreting data to provide valuable insights and drive informed business decisions. The Data Analysts design, create and deploy enterprise-scale data analytics solutions. This role contributes to the complete data function for data analytics, business intelligence, and advanced analytics. This role requires a strong business focus and understanding of the strategy and direction of the business, supported by data.

• Gather, analyse, and interpret data to provide valuable insights and drive informed business decisions.
• Design, create and deploy enterprise-scale data analytics solutions.
• Contribute to the complete data function for data analytics, business intelligence, and advanced analytics.
• Underpin business strategy with data through analytics and reporting.

• BCom Information Technology qualification / bachelor’s degree in computer science / Engineering (IT) or similar
• Data analysis tools (Azure Enterprise Data Analyst) certification will be an added advantage
• ITIL or COBIT certification
• 2 – 4 years of working experience in an IT environment
• Experience working on IT enterprise Azure-based data solutions
• Power BI, Power Query, T-SQL and data visualization
• Experience in gathering requirements and transitioning to designs and outcomes

Overview

Reference : NFP -LLR-1

An exciting opportunity exists for a Data Analyst with a passion for uncovering insights and driving business decisions. You will interpret data from multiple sources, identify meaningful patterns and trends, and translate complex findings into actionable insights that support key decision-making across the business.

• Develop and implement data visualisation and reporting strategies
• Design reports aligned to business and stakeholder needs
• Communicate report insights clearly and effectively to end users
• Promote a customer-centric approach within your area of responsibility
• Support and guide team members, fostering a collaborative environment

• Education : Bachelors Degree in a quantitative field (e.g. Data, Finance, Economics, Statistics and Informatics). Post-graduate qualification is an advantage
• Experience : 25 years of hands-on experience in data analytics
• Proven proficiency in SAS , SQL and Python
• Solid mathematical and statistical skills
• Technical & Industry Knowledge : Experience working in complex IT environments (technical security and business). Understanding of retail data models and architecture (SAP experience advantageous). Familiarity with compliance, IT governance and business metrics
• Core Competencies : Analytical thinking and problem-solving; strong communication and data storytelling skills; high attention to detail and quality delivery; project and stakeholder management; planning, organizing and results-driven mindset; ability to work with people and manage conflict constructively

• Experience : 25 years of hands-on experience in data analytics (emphasized above)
• Employment Type : Full-Time
• Vacancy : 1
• Key Skills : Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics
• Package & Remuneration : Market related

Note: If you do not hear from us within two weeks, please consider your application unsuccessful.

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1. Advertise
   1. Step 1 – Our vacancies are advertised between 3-5 days depending on the market availability of the skills required.
   2. Step 2 – Could take a couple of days depending on the volume and the screening process, which varies according to the complexity of the role.
   3. Step 3 – Long listed candidates are sent to the hiring manager to review and consider for the next stage of the selection process.
2. Telephonic screening
   1. Step 4 – Candidates may be contacted for a short screening interview to get to know them better and to ask any clarity seeking questions.
3. Your interview
   1. Step 5 – We use a competency interview model. Interview dates will be confirmed via e-mail. During the interview you will be introduced to the panel and the process will be explained. Remain calm and sell yourself. This is our opportunity to match your skills to the job. You only get one shot!
4. Assessment
   1. Step 6 – Should we like what you bring to the table, depending on the job you are being considered for, you may be invited to complete a psychometric assessment. Further employment checks are conducted to ensure the validity of your credentials.
   2. Step 7 – Prior to an offer being made, there may be a second interview to meet with the Head of Department. Should there be a need for any further interviews, be sure to bring the same charm that got you through your first interview.
5. Onboarding
   1. Step 8 – You made it. Here we ensure we receive all your documents to get you onto our payroll system.

1. Step 1 – Our vacancies are advertised between 3-5 days depending on the market availability of the skills required.
2. Step 2 – Could take a couple of days depending on the volume and the screening process, which varies according to the complexity of the role.
3. Step 3 – Long listed candidates are sent to the hiring manager to review and consider for the next stage of the selection process.

1. Step 4 – Candidates may be contacted for a short screening interview to get to know them better and to ask any clarity seeking questions.

1. Step 5 – We use a competency interview model. Interview dates will be confirmed via e-mail. During the interview you will be introduced to the panel and the process will be explained. Remain calm and sell yourself. This is our opportunity to match your skills to the job. You only get one shot!

1. Step 6 – Should we like what you bring to the table, depending on the job you are being considered for, you may be invited to complete a psychometric assessment. Further employment checks are conducted to ensure the validity of your credentials.
2. Step 7 – Prior to an offer being made, there may be a second interview to meet with the Head of Department. Should there be a need for any further interviews, be sure to bring the same charm that got you through your first interview.

1. Step 8 – You made it. Here we ensure we receive all your documents to get you onto our payroll system.

There is not just one way to be successful at Santam, nor is there there one way to interview with us. Interviewing is a two-way process - it helps us learn about you, and it helps you learn about us, our people, and what you could do here.

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Data Analyst vacancy in Soweto, South Africa

• Customer journey development – creating and maintaining customer satisfaction goals.
• Create plans to address the business needs which may fluctuate from time to time.
• Addressing customer concerns and complaints in most effective manner.
• Creating sales plans to generate and increase revenue.
• Marketing to optimize data and utilize such to achieve optimum turn-around times.
• Building long term relationships with key clients
• Study competition to find new ways to retain customers
• Collaborate with internal teams.

Location: Johannesburg (On-site)

WatersEdge Solutions is hiring a data-driven and analytical Data Analyst to support global finance operations through in-depth client data insights. This is a unique opportunity to work with high-impact financial datasets, directly supporting business development and operational delivery in an international, compliance-focused environment.

• Analyse client income reports with a strong emphasis on output quality


• Quantify claimable amounts using established databases of laws and treaties


• Investigate reclaim service gaps to identify areas of financial opportunity


• Summarise complex findings into clear, actionable insights for multiple stakeholders


• Create operational cases in Salesforce to trigger internal workflows


• Factor in risk to ensure all analyses protect client, custodian, and internal interests


• Understand fund structures and their tax implications


• Stay current with market and industry trends relevant to tax recovery

• Bachelor’s degree in BSc Maths, Statistics, or BCom (or similar)


• Strong academic performance and quantitative reasoning skills


• Advanced proficiency in Microsoft Excel


• High attention to detail and accuracy in data handling


• Ability to work well under pressure and meet deadlines


• Strong problem-solving and analytical mindset


• Clear written and verbal communication skills


• A disciplined, motivated, and team-oriented work style


• Eagerness to learn new software and adapt to evolving processes

• Familiarity with Salesforce or other CRM/operations platforms


• Exposure to finance, taxation, or investment data


• Background in financial services or consulting environments

• Opportunity to contribute to global financial operations in a high-growth business


• High-performance, team-driven culture with strong learning potential


• Access to structured onboarding and ongoing mentorship


• Fast-paced, analytical environment with cross-functional collaboration


• Career pathway within financial analytics or global operations

WatersEdge Solutions partners with organisations that value precision, intelligence, and clarity in financial problem-solving. You’ll join a purpose-driven team that thrives on continuous learning, detail-oriented execution, and creating measurable value for global clients.

If you have not been contacted within 10 working days, please consider your application unsuccessful.

• Seniority level: Mid-Senior level


• Employment type: Full-time


• Job function: Finance and Analyst


• Industries: IT Services and IT Consulting and Financial Services

Company: GoldenRule

Objective of the Role: The purpose of the role is to work collaboratively within your team and across other teams in the business to identify and build exceptional business models that identify patterns and insights that call for action using complex data sets. You are responsible for collating, analysing and interpreting data to identify trends, patterns, and actionable insights that can drive business decisions and optimize strategies. The objective is to leverage data to provide recommendations to various business stakeholders by creating various business and data models to help achieve our business goals.

1. Relevant bachelor’s degree in Finance, Investment Management, Information Management, Computer Science, or Business Management.
2. Excellent verbal and written communication skills.
3. Certification in data analytics or visualisation will be advantageous.
4. Experience in Asset Management or Investment Platform business.
5. 10 years working experience in a Data Analytics environment with at least 5 years’ experience as a Data Analyst or Business Intelligence Specialist.
6. At least 5 years’ experience using Power BI.
7. Exposure to other data visualisation tools will also be advantageous.
8. At least 5 years SQL experience.
9. Experience in solving complex problems for customers (internal or external) and effectively conveying intricate findings in a clear and understandable manner.
10. Experience in building successful relationships and working collaboratively across departmental teams.
11. Experience working in fast-paced, proactive, and delivery-focused environments.

Key Performance Areas:

• Prepare and circulate all daily reports to relevant stakeholders
• Manage system/technical issues by logging service desk tickets with IT
• Track all system/policy/operational changes made
• Compile Month End reports and distribute in a timely manner
• End to end system testing
• Monthly analysis on key Credit Risk areas
• Use SQL to extract and analyze data to make data-driven, actionable recommendations about how to improve policies and processes
• Work closely with the Data Science team to price and implement Machine Learning or AI models that optimize portfolio outcomes
• Automation of reports and processes

Requirements:

• Bachelor's degree in Finance, Economics, Mathematics, Business Science, or similar
• Honours degree preferred
• Proficiency in SQL
• Advanced Excel
• 5 years' experience in Data Analytics, Modelling, & Reporting
• Credit Underwriting would be an advantage

Objectives of the Role

Ensure that DMA, RNG and GET tasks allocated for testing are assessed and reported on in accordance with the approved methodologies, working documents and templates and in line with regulatory, accreditation and contractual requirements.

Primary Responsibilities

• Conduct Game Engine Testing (GET) reviews for all product and game types.
• Conduct Random Number Generator (RNG) reviews in line with requirements.
• Conduct Data Monitoring and Analysis (DMA) reviews as per the agreed frequency per client.
• Maintain spreadsheet models to perform the required reviews.
• Review and evaluate analytical results to ensure they meet acceptable criteria.
• Reporting on status and test findings to supervisor.
• Liaise with department heads in aid of cooperation and resolution of issues.
• Knowledge of and familiarisation with general online gambling industry and gaming terminology.
• Understanding of and familiarisation with game types, variants and regulatory requirements.
• Understanding of and familiarisation with ISO/IEC 17020, 17025, 17065 and related documentation.
• Ensure all responsibilities are effectively and efficiently executed in accordance with company policies, procedures and processes.
• Ensure all required responsibilities of a jurisdictional manager as communicated in 1.55 Standard Operating Procedure - Jurisdictional Management are followed.
• Perform ad hoc tasks as and when required.

Quality Assurance

• Self-review of own findings and documentation.
• Peer reviewing of other analysts’ findings and documentation.

Qualification

• Mathematics/Science/Commerce/IT Degree (NQF Level 7), or equivalent, if substantiated by valid evidence of competency.

Experience

• 1 - 2 years’ relevant data analysis experience in a professional working environment.
• Knowledge of Python and/or R advantageous.

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. Founded in 2006, Reverside has grown to a strong team of over 300+ consultants, serving more than 40+ active clients globally.

Description

We are looking for a Data Analyst Professional with 4+ years solid experience. The candidate must be very data hands-on and very strong at writing complex SQL scripts.

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 data 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 data/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.
• 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

• 4+ years of experience as data/systems analyst in building large scale data warehouses.
• 4+ years of experience as data/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.
• Negotiation.
• 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.