What Jobs are available for Spatial Data in South Africa?

Showing 258 Spatial Data jobs in South Africa

Coordinator - Spatial Data Services

R104000 - R130878 Y City of Cape Town

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Job Description

ELIGIBILITY

Suitable Candidates

CLOSING DATE

REFERENCE NUMBER

NRG 109/25*

SALARY

R TCOE (T16)

DEPARTMENT

Electricity Generation and

Distribution

DIRECTORATE

ENERGY Coordinator - Spatial Data Services

Requirements

  • Minimum Bachelor of Science (BSc) / BTech degree or equivalent in

Geographic Information Systems / Land Surveying / Geomatics /

Cartography or B Eng / BSc Eng (Electrical)

  • Registered as Professional or Technologist in GISc with SAGC or

with ECSA

  • A minimum of 8 years post graduate GIS experience and exposure

to its application in the electrical utility environment, with at least 5

years managerial experience.

  • Extensive experience in the recording and capture of electricity

distribution systems

  • Excellent personnel management skills
  • Excellent communication and negotiation skills
  • Computer literacy
  • Problem solving skills

Key Performance Areas

  • Develops long and short-term strategies to include performance

goals and staffing, with respect to departmental and business unit

requirements

  • Manages the processes that ensure the accurate, consistent, and

current geospatial data collection, capture and maintenance

  • Coordinates the production of designs for new electrical

transmission, distribution and public lighting projects.

  • Develops and manages job proposal design standards and

methodologies.

  • Manages the efficient rate of Job Proposal production
  • Manages and coordinates all activities related to the acquisition,

processing and administration of wayleaves and land

matters within the unit

  • Managing and overall integration of technical design activities in

architectural engineering projects

  • Applies theory and principals of mechanical and electrical

engineering to modify and develop equipment design drawings,

process control, and electrical power distribution and

instrumentation diagrams under direction of engineering staff

  • Communicates with senior management, fellow professionals as

well as internal and external customers to address issues of

common interest and share information

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Geographic Information Systems Analyst

R250000 - R450000 Y Satchel and Boot (Pty) Ltd

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Job Description

We're Hiring: GIS & Data Analytics Specialist (Hybrid Candidate)

Do you love turning data into insights—both on the map and in dashboards? We're looking for a hybrid professional skilled in
ArcGIS
and
Power BI
to help us transform geospatial and business data into actionable decisions.

What you'll do:

·   Analyze spatial data with ArcGIS.

·   Build dynamic dashboards and reports in Power BI.

·   Combine GIS and business data to reveal trends and opportunities.

·   Present insights that drive real impact across the organization.

You have:

·   Experience in GIS (ArcGIS/QGIS) and BI (Power BI).

·   Strong analytical and problem-solving skills.

·   Ability to communicate complex data simply.

Why join us:

·   Flexible hybrid work

·   High-impact projects

·   Growth & development opportunities

Send your CV to

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Data Analyst

Johannesburg, Gauteng Network Recruitment

Posted 4 days ago

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Job Description

Key Responsibilities:
  • Data Collection & Management:
    • Collect, clean, and organize data from various sources, ensuring accuracy and integrity
    • Maintain and update databases and data systems
  • Data Analysis:
    • Analyze complex financial data to identify trends, anomalies, and actionable insights
  • Reporting & Visualization:
    • Develop and maintain dashboards and reports to clearly communicate findings
    • Present data-driven insights to stakeholders in a clear, compelling manner
  • Collaboration:
    • Partner with the finance team to understand analytical needs
    • Work cross-functionally with IT and other departments to implement solutions
  • Continuous Improvement:
    • Proactively identify opportunities to streamline data processes and improve reporting
    • Stay current with trends, tools, and best practices in data analytics
Job Experience and Skills Required:
  • Bachelors Degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field
  • Advanced Degree or professional certification in data analytics or finance is an advantage
  • 1-2 years of experience as a Data Analyst, ideally within the financial sector
  • Proficiency in SQL, Python, R, and advanced Excel
  • Strong experience with data visualization tools (e.g., Tableau and Power BI)
  • Familiarity with financial databases and platforms
Apply now!

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Data Analyst

Johannesburg, Gauteng Network Contracting

Posted 20 days ago

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Job Description





Purpose of role:
  • Data Analyst will be part of a team that conducts regular and adhoc data projects.
  • Data Analyst required to implement and maintain solutions including data sourcing, data transformation using SQL.
  • Data Analyst will be communicating with client and end-user to determine purpose and end solution requirements.
  • The role will also cover data extraction and data manipulation to fulfil client requirements, including adhoc requests, documentation, effective communication with external clients and internal stakeholders.
  • Investigation, design, and implementation of improvements to existing processes
  • Ad-hoc queries relating to broad spectrum data and products
  • Documenting and general maintenance of processes
  • Combine raw data from multiple sources and explore ways to enhance data quality and reliability
  • Prepare data for prescriptive and predictive modelling and collaborate with data scientists and architects on projects
  • Identify and interpret trends and patterns
  • Build data systems (ETLs) and pipelines with proper data governance in line with the overall organizational strategy


Qualification and Experience:
  • National Diploma: Information Technology (IT Software Development)
  • BSC (Maths, Stats, Comp science)
  • Solid experience in all Microsoft products (SQL, SSMS, Visual Studio, SSIS, VS code, Azure)
  • Knowledge and experience in R and Python
  • Ability to adapt to different programming tools based on project at hand
  • Proficient in automation of processes and troubleshooting
  • MCSE Certificate-Data Management and Analytics or Business Intelligence
  • 5 Years' relevant experience


Technical Skills:
  • Experienced in SQL database design
  • Understand the concepts, principles, and implementation of data modelling, design, governance, and data management
  • Skilled at gathering, cleaning, enriching, and transforming data into the desired format to incorporate better decision-making in less time
  • Understand the processes, roles, policies, standards, and metrics that ensure the effective and efficient use of data/information

If you are interested in this opportunity, please apply directly. For more finance jobs, please visit
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Data Analyst

R250000 - R450000 Y Keen

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Job Description

About Keen

At Keen, we don't just deliver services — we embed ourselves into the heart of our clients' businesses. From digital marketing and creative to customer experience, we craft bold, high-performance digital experiences for global brands.

Keen helps some of the most exciting U.S. and international brands scale smarter by embedding expert teams that drive results across marketing, creative, customer experience, and sales.

We're not a legacy BPO. We're a partner in growth — and that's where you come in.

About the Role

We're hiring a Data Analyst to support the operations of our contact center and BPO teams. You'll play a critical role in monitoring performance, identifying areas for improvement, and enabling better decision-making across the support operation.

This role is ideal for someone who thrives on structured data, understands the contact center environment, and knows how to turn insights into action. You'll work cross-functionally with Workforce, QA, Training, Team Leads, and Client Stakeholders to ensure the operation is scalable, efficient, and high-performing.

What You'll Do

  • Own data analysis and reporting for our organization – starting from a team of one
  • Analyze core customer support metrics such as AHT, FCR, CSAT, and SLA adherence across teams and time periods
  • Build and maintain reporting dashboards using tools like Looker, Power BI, Tableau, or Excel
  • Identify performance trends, customer friction points, and operational gaps through deep-dive analysis
  • Conduct root cause analysis and deliver clear, actionable recommendations to internal and client stakeholders
  • Support volume forecasting, capacity planning, and staffing recommendations in partnership with the workforce management and scheduling teams
  • Present daily insights to Team Leads, CX Managers, and client-side leadership
  • Participate in strategic initiatives such as CRM optimization, contact flow redesign, and automation planning
  • Gather and document business requirements for analytics and reporting improvements, collaborating with IT or product teams as needed
Requirements

What We're Looking For

  • 3+ years of experience in a predominantly data analysis role — ideally in a BPO, customer service, services, sales or support environment
  • Advanced Excel and Google Sheet skills and hands-on experience with BI/reporting tools (Power BI, Tableau, Looker, etc.)
  • Working knowledge of CRM or contact center systems and metrics (e.g., Zendesk, Salesforce, Genesys, Five9)
  • Analytical mindset with proven ability to translate complex data into business insight
  • Strong ownership skills – this is a team of one, and someone who is comfortable managing themselves is required
  • A self-starter mentality – you don't wait for someone to tell you what to do – you have the curiosity to find data to potential problems
  • Strong written and verbal communication skills — especially around storytelling with data
  • Experience coordinating across cross-functional teams including Operations, QA, training, and tech
  • Bachelor's degree in business, statistics, math, or related field preferred (or equivalent experience)
  • Bonus: Familiarity with SQL and/or data querying, and exposure to Lean, Six Sigma, or continuous improvement frameworks
Benefits

What's In It for You

  • Competitive full-time compensation
  • In-office collaboration at our Cape Town office with global teammates
  • Transport and Medical allowances
  • Work directly with high-growth clients in tech, delivery, and merchant services
  • Contribute to real operational improvements and performance acceleration
  • Birthday leave + professional development budget
  • Be part of a team that values insight, ownership, and measurable impact

This is a full-time in-office role based in Cape Town. Working hours align with U.S. client operations: 3 pm to 12 am SAST (4 pm to 1 am during U.S. winter hours). Reliable commuting is required.

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Data Analyst

R90000 - R120000 Y Deloitte

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Job Description

Company Description

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the "Deloitte organisation") serves four out of five Fortune Global 500 companies. Learn how Deloitte makes an impact that matters at

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you'll find unrivalled opportunities to succeed and realise your full potential.

Job Description

We are looking for a Data Analyst to make an impact in our team and at the clients.

This role will support the AI and Data team in delivery of services to clients on engagements and projects to service within Data Analytics.

The job role entails the following:

  • Data exploration and analysis
  • ETL and data preparation capabilities
  • Solve intricate data integration problems
  • Accountability for deliverables and feedback to manager and stakeholders
  • Interact with clients and business stakeholders
  • Proficiency in at least two or more of the following tools: SQL Server, SAS, Python and PowerBI
  • Functional experience in cloud analytics is advantageous

Qualifications

Certifications or Advanced degrees in Computer Science, Data Analytics, and technology specific certifications other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques)

Minimum Experience

3+ years' relevant work experience

Technical Competencies

  • SQL
  • Python
  • Analysis
  • Power BI
  • Consulting skills

Behavioural Competencies:

  • Continuous learning mindset
  • Curiosity
  • Excellent communication skills, both written and verbal
  • Consistently delivers high quality work
  • Ability to meet deadlines (reliable and dependable)
  • Able to multi-task
  • Proven application of providing guidance to junior members of the project team
  • Demonstrates readiness to take decisions
  • Displays initiative and takes accountability for delivery of own work
  • Monitors adherence to deadlines for self
  • Ability to prioritize competing responsibilities as per their urgency and importance

Additional Information

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.

To help you look out for potential recruitment scams, here are some Red Flags:

  • Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
  • Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent's data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
  • Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.

If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

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Data Analyst

R120000 - R300000 Y onprint group

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Job Description

We are seeking a qualified team of ESG professionals to deliver a comprehensive Environmental, Social, and Governance (ESG) assessment.

REQUIREMENTS:

  • Degree in statistics, economics, or related.
  • Skilled in ESG data collection, benchmarking, and reporting tools.

Job Type: Temporary

Contract length: 6 months

Pay: R10 000,00 - R25 000,00 per month

Work Location: In person

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Data Analyst

R400000 - R800000 Y BDO

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Job Description

Purpose of this role:

Actively enable the Digital Risk Advisory Services objectives to incorporate data analytics processes in our RAS services. The Data Analyst reports to the relevant Senior and is responsible for execution of data analytics procedures in the integrated internal audit approach, and for execution of standalone analytics projects. The incumbent will work closely with the entire RAS team to:

  • Execution of data analytics and related projects/engagements;
  • Engagement with clients and audit teams;
  • Execution of complex and non-complex engagements;
  • Take accountability for deliverables and feedback to managers and stakeholders;
  • Contributing to the development of analytics solutions and go-to-market opportunities and activities.

Competencies:

General:

  • Adept at queries, report writing and presenting findings using non-technical language
  • Demonstrated strong project management skill
  • Strong time management skills with the ability to prioritise and manage competing deadlines effectively.
  • Demonstrated strong problem solving and interpersonal skills
  • Deadline oriented and able to prioritise own work
  • Client-centric solution mindset
  • Ability to work in an ambiguous environment with multiple role-play
  • Sound risk and control knowledge and understanding
  • Performance of analytics in an audit environment

Technical Competencies and Experience:

  • ETL and data preparation capabilities
  • Development, testing and implementation of analytics solutions
  • Scripting skills and experience
  • Develop innovative analytics solutions to complex data project
  • Technical experience with one or more of the following tools: Excel, SQL, Power BI, DAX, Idea, and/or Python
  • Must have Dashboarding capabilities

Behavioural Competencies:

  • Continuous learning mindset
  • Curious and innovative
  • Excellent communication skills, both written and verbal
  • Consistently delivers high quality work
  • Ability to meet deadlines (reliable and dependable)
  • Able to multi-task
  • Displays initiative and takes accountability for delivery of own work
  • Supervises and monitors adherence to deadline for self

Requirements:

  • Three-year qualification in Commerce, Computer Science, Mathematics, Economics, Information Management, Statistics or equivalent
  • Minimum 2-3 years working experience as a data analyst or business data analyst
  • Strong knowledge of and experience with data analytics software (Power BI, ACL, Idea, SQL or similar).

Preferred:

  • Qualifications/Certifications or Advanced degrees in Computer Science, Data Analytics, and technology specific certifications
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Data Analyst

Kaelo

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Company Description

Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes.

Job Description

Responsibilities:

  • Building out and maintaining risk and strategic dashboards including but not limited to:
  • Loss ratios
  • Claims pattern recognition
  • Client utilisation and movement

  • FWA

  • Ensuring data flow through the Actuarial and Analytics team including but not limited to:
  • Structuring specialised data requests
  • Maintaining current data scripts
  • Validating data sources to ensure correct data is being utilised
  • Building ad hoc reports on request of business including but not limited to:
  • Sales reports
  • Specialised client reports
  • New project research
  • Clinical reports (including clinical risk)
  • Liaising with IT to ensure data structures are suitable for future risk and strategic purposes
  • Manage projects pertaining to reporting as well as any IT integration

Qualifications

Requirements:

A degree in IT, data, computer science or any data related qualifications at a reputable institution.

Previous experience in (Minimum 2 years):

  • Building insurance reports
  • Dashboarding
  • Datawarehouse structuring
  • Managing multiple parties

Additional Information

Personal Attributes

  • Excellent problem-solving skills backed by solid technical knowledge.
  • Excellent customer service and communication skills, with the ability to explain technical concepts to non-technical users.
  • Excellent organisational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
  • A versatile and service-oriented mind-set.
  • Good communication skills.
  • Understands the importance of documentation.
  • Open to learn, but also willing to teach.
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Data Analyst

Paracon

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Data Analyst

Transform complex network operations data into actionable insights to improve performance, reduce costs, and enhance service delivery within the NOC. Use analytics, data visualization, and collaboration to support decision-making and operational excellence in telecommunications.

Key Responsibilities

  • Translate raw data into clear business insights and visualizations.
  • Apply telecommunications/NOC knowledge (fault management, SLA adherence, MTTR).
  • Solve operational problems using quantitative analysis.
  • Automate reporting and streamline data processes.
  • Collaborate with technical (NOC engineers) and non-technical teams (Field Ops, Management).

Core Competencies & Experience:

  • Strong SQL skills for data extraction and analysis.
  • Expertise in Power BI, Tableau, or similar; advanced Excel.
  • Experience with Python or R for automation/analysis.
  • Knowledge of databases (PostgreSQL, MySQL, SQL Server) and ETL processes.

Non-negotiable

  • SQL
  • Power BI
  • Python
  • Telecommunication/NOC Domain

Minimum Requirement

  • 3–5 years' experience as a Data Analyst in telecoms or related industry.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or Computer Science.
  • High-level expertise in SQL, Power BI, Python, and telecom/NOC domain knowledge.
  • Strong analytical thinking, problem-solving, and judgment for unstructured data challenges.
  • Ability to communicate technical findings in terms of business impact.
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