Data Analyst Jobs in Cape Town

Senior Data Analyst ● REF NO: FPR 38/26

From $122/yr

JOB OPPORTUNITY Future Planning \& Resilience ● Policy \& Strategy TCOE Salary: R1 122 322 – R1 576 194 PER ANNUM The Data Analytics Hub is a multidisciplinary team of data analysts, data scientists, engineers and product managers working at the heart of the City of Cape Town. We partner with departments across the City, using data, analyses and AI to bring clarity to complex problems, reduce uncertainty, and guide the decisions to improve daily life for millions of residents. We’re looking for a Senior Data Analyst to put deep statistical and analytical expertise to work on some of the City’s toughest challenges. You’ll uncover opportunities, sharpen strategic and operational decision-making, and help shape the systems and behaviours that keep a large, fast-moving city running. This role is for you if you want your work to matter and you’re energised by turning real-world data into clear insights and products that people actually use. Requirements: • A relevant 3 year tertiary qualification, preferably a relevant Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, Data Science, Economics, Quantitative Social Science, or any field with strong quantitative elements • At least 5 years’ relevant experience Key Performance Areas: • Work with stakeholders across the City to understand their needs, translate them into well-defined analytical questions, and design fit-for-purpose solutions using statistical methods • Develop and deploy statistical models and data products using appropriate algorithms and techniques • Monitor and maintain models and data products in production so they remain accurate, reliable and fit for purpose • Communicate findings and insights clearly to technical and non-technical audiences through presentations, reports and visualisations Apply and contribute to the establishment, implementation and adoption of guidelines, standards, best practices and governance frameworks for the data analytic and AI community of the City • Stay up to date with the latest advancements in statistics and related fields and identify opportunities to apply new techniques and technologies to improve the City's data capabilities • Create, maintain and improve high-quality documentation of data analytic processes • Provide guidance and mentorship to junior data analysts. • Contribute to and/or lead the delivery of the data analytic projects and programmes, ensuring they are delivered on time, within scope and budget, with effective stakeholder communication and managed risk. • Perform change, stakeholder, risk, procurement, contract and performance management when required Please apply online at www.capetown.gov.za/careers (external applicants) or via the SAP Portal (internal applicants) unless otherwise stated. By submitting your application for a position at the City of Cape Town, you are consenting to the use of your personal information provided as part of your application and/or Recruitment process for Recruitment and Selection purposes. In addition, you may be required to undergo, including but not limited to, Criminal and Security Checks, Personal Verification, and Lifestyle Audits, throughout your recruitment process and/or subsequent employment. Closing date: 03 November 2026 * Please quote the reference number of the vacancy in all communications. * Certified copies of qualifications must be available on request. * Copies of supporting documents will not be returned. * Kindly note that applications will not be acknowledged in writing. * Visit our website at www.capetown.gov.za/careers * No late applications will be considered. * If no notification of appointment is received within three (3) months of the closing date, please accept that your application was unsuccessful.

Digital Data Analyst

From $202/yr

Hype Digital is now Hype Labs, the agentic growth team with recursive learning built in. We're still a conversion agency. Our paid media, CRO and analytics teams work together to turn traffic into revenue for brands across e-commerce, iGaming, lead gen, SaaS and B2B. What's changed is how we work. AI agents now run across every client's funnel, auditing tracking, analysing performance and flagging issues around the clock. A specialist reviews and approves every output, and the system learns from each decision. We're looking for a Digital Data Analyst to own our analytics projects end to end. You'll run the client relationship, scope the work, get hands-on when tracking breaks and make sure everything that reaches a client is accurate. The role sits between strategy and execution, and you'll need to be comfortable in both. A note on AI: we're now fully agentic. If you already use AI tools and agents in your analytics work, whether that's building workflows, automating audits or writing prompts and playbooks, you'll be top of our list. A note on location: the role is currently remote, but we're looking for someone based in Cape Town full time. We meet in person for weekly team sessions and are moving to a hybrid office next year. WHAT YOU'LL OWN Client and project leadership • Owning a portfolio of analytics clients and running client meetings end to end: onboarding, to handover - as well as work with the retention manager on upsells and retention • Diagnosing the real business problem (leaky funnels, unclear attribution, unreliable revenue tracking, disconnected data) and scoping the solution • Project managing tracking implementations, dashboard builds and ad hoc analysis from brief to sign-off • Keeping clients updated on progress, timelines and next steps • Reviewing every report, dashboard and data output before it goes out • Turning data into commercial insight and proactive recommendations Hands-on technical delivery • GA4 and GTM implementation, auditing and debugging, web and server-side • Conversion tracking across Google Ads, Meta, TikTok and LinkedIn • E-commerce tracking on Shopify and Magento, giving our CRO team clean, reliable event data • Experimentation tracking, including Convert and Segment integrations • SQL, BigQuery, Looker and Looker Studio for reporting and dashboards • ETL pipelines and the cloud infrastructure behind client reporting • Documenting every setup so it scales and doesn't rely on one person's knowledge Working with our agents • Directing and reviewing the output of our analytics agents, including GA4 and GTM audits, performance analysis and tracking health checks • Improving the playbooks and prompts our agents run on, so they get sharper with every project • Spotting new parts of the analytics workflow we can automate Team • Supporting QA, training and adoption with stakeholders on the client and internal side • Reporting directly to the Analytics Client Director WHAT WE'RE LOOKING FOR • Based in Cape Town and available for weekly in-person team sessions, as well as in-person client calls • 5+ years in an analytics, data or digital agency environment • Strong hands-on GA4 and GTM experience, including server-side and JavaScript • Proven conversion tracking experience across the major ad platforms • Solid SQL skills and experience with BigQuery and Looker Studio • Working knowledge of the wider data stack, such as Mixpanel, Snowflake, Looker, Power BI, dbt, Fivetran and Stripe. You know what each does and where it fits in a client's stack • Real client-facing experience. You've run relationships and projects, not just sat in on calls • Comfortable explaining technical tracking and data concepts in commercial terms • Highly organised, with sharp attention to detail. Reports go out right or they don't go out • Practical, everyday use of AI in your work (Claude, ChatGPT, agents, automations, MCPs) • Shopify, Magento and experience across iGaming, lead gen, SaaS or B2B are a plus WHAT WE OFFER • A small, sharp team working at the front of agentic delivery • Real ownership of client relationships, projects and technical standards • Direct line to leadership, no layers of bureaucracy • Remote for now, with weekly in-person sessions and a hybrid Cape Town office from 2027 • Competitive salary When you apply, include a short note on how you use AI in your analytics work. Show us something you've built.

Senior Data Analyst

From $3/yr

ELIGIBILITY Suitably qualified candidates CLOSING DATE 03.11.2026 REFERENCE NUMBER FPR 38/26 Ext SALARY R1122322.00 - R1576194.00 DEPARTMENT Policy and Strategy DIRECTORATE FUTURE PLANNING AND RESILIENCE Senior Data Analyst Requirements * A relevant 3 year tertiary qualification, preferably a relevant Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, Data Science, Economics, Quantitative Social Science, or any field with strong quantitative elements * At least 5 years’ relevant experience The Data Analytics Hub is a multidisciplinary team of data analysts, data scientists, engineers and product managers working at the heart of the City of Cape Town. We partner with departments across the City, using data, analyses and AI to bring clarity to complex problems, reduce uncertainty, and guide the decisions to improve daily life for millions of residents. We’re looking for a Senior Data Analyst to put deep statistical and analytical expertise to work on some of the City’s toughest challenges. You’ll uncover opportunities, sharpen strategic and operational decision-making, and help shape the systems and behaviours that keep a large, fast-moving city running. This role is for you if you want your work to matter and you’re energised by turning real-world data into clear insights and products that people actually use. Key Performance Areas * Work with stakeholders across the City to understand their needs, translate them into well-defined analytical questions, and design fit-for-purpose solutions using statistical methods * Develop and deploy statistical models and data products using appropriate algorithms and techniques * Monitor and maintain models and data products in production so they remain accurate, reliable and fit for purpose * Communicate findings and insights clearly to technical and non-technical audiences through presentations, reports and visualisations

Data Analyst

Reference: JHB000957-AS-2 An industry leading Bank has an exciting opportunity available for a Data Analyst to join their team. Duties & Responsibilities In this role, you’ll work closely with stakeholders across the business to understand their needs, identify opportunities, and use data to solve real problems. Your insights will support how our client designs products, improves processes and measures performance — helping them grow as a truly insights‑driven organisation. If you enjoy working with data that has real‑world impact — and explaining insights in a way people can easily understand — this role could be for you. What you'll be doing: Transform complex data into actionable insights that support business strategy and performance Lead and contribute to end‑to‑end data analysis initiatives with measurable business impact Analyse large, complex datasets using advanced analytical tools and techniques Partner with cross‑functional teams to understand business challenges and data requirements Build clear, intuitive dashboards and reports for decision‑makers Identify trends, risks and opportunities across products, processes and customer journeys Communicate findings and recommendations clearly to non‑technical stakeholders Apply your understanding of financial products, business processes and industry context to your analysi Minimum Experience: An Honours degree in Analytics, STEM or a related field, with at least 5 years’ relevant experience, or A Bachelor’s degree in Analytics, STEM or a related field, with at least 8 years’ relevant experience Solid experience in data analysis, ideally within banking or financial services A proven track record of delivering insights that drive business decisions and outcomes Strong capability in advanced data analysis tools such as SQL, Python, R, Tableau or Power BI Experience performing complex analysis and statistical modelling Confidence working with cross‑functional teams to translate business needs into data solutions The ability to explain insights clearly and influence decision‑making at different levels A good understanding of financial products, industry trends and regulatory requirements, and how these affect data analysi Knowledge Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets. Expertise in advanced Excel functions, including macros and VBA. Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn). Strong understanding of statistical methods and their application in financial data analysis. Understanding of predictive analytics techniques and their application in financial analysis. Knowledge of data modelling techniques to structure and organize data effectively. Understanding of risk analysis methods and their application in financial services. Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets. Expertise in advanced Excel functions, including macros and VBA. Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar. Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn). Strong understanding of statistical methods and their application in financial data analysis. Understanding of predictive analytics techniques and their application in financial analysis. Knowledge of data modelling techniques to structure and organize data effectively. Understanding of risk analysis methods and their application in financial services. Should you not receive a response from us within one week of your application, your application has unfortunately not been successful. You can visit our website for more vacancies: www.wePlace.co.za / LinkedIn www.linkedin.com/company/wePlace/

Data Analytics & Data Engineering Analyst

Introduction We are seeking a highly motivated and technically skilled Data Analytics & Engineering Analyst to join our growing Analytics function. This role is designed for individuals who possess strong analytical capabilities and a passion for transforming data into actionable business insights while developing advanced data engineering skills. The successful candidate will initially focus on delivering analytics, reporting, visualization, statistical analysis, and business insights while simultaneously gaining exposure to modern data engineering practices including data pipelines, cloud data platforms, Snowflake, SQL development, and analytics engineering. This position offers an excellent career pathway into Data Engineering, Analytics Engineering, Data Science, and Leadership roles within the organization. Duties & Responsibilities Key Responsibilities Data Analytics & Business Intelligence Develop and maintain interactive dashboards using Power BI and Tableau Analyze large and complex datasets to identify trends, patterns, operational risks, and business opportunities Produce executive-level reporting and presentations for operational and senior leadership teams Perform exploratory data analysis, root cause investigations, and trend analysis Conduct statistical analysis using Python or R Build predictive models and analytical solutions to support business decision-making Translate complex findings into clear business recommendations Partner with operational stakeholders to solve business problems using data Contact Centre Analytics Analyze customer experience metrics including: NPS CSAT OSAT Complaints First Contact Resolution Sales Conversion Quality Scores Schedule Adherence Productivity Metrics Support operational performance reviews through insight generation Develop analytical frameworks to identify drivers of customer satisfaction and dissatisfaction Support workforce planning, operational excellence, and continuous improvement initiatives Data Engineering & Analytics Engineering Exposure Support development and maintenance of data pipelines and ETL/ELT processes Assist in loading, transforming, and validating datasets within Snowflake Develop reusable SQL transformations and data models Work with engineering teams to create analytics-ready datasets Contribute to data quality checks, validation frameworks, and automated reporting solutions Gain hands-on experience with cloud-based analytics platforms Support implementation of data governance, metadata, and documentation standards Stakeholder Engagement Collaborate with Operations, Quality, Training, Continuous Improvement, WFM, and Client teams Gather and translate business requirements into analytical solutions Deliver insight-led presentations and recommendations to leadership teams Support strategic transformation programmes through data-driven decision making Required Skills & Qualifications Education Bachelor's degree in: Data Science Statistics Computer Science Mathematics Engineering Analytics Or related quantitative discipline Technical Skills Analytics & Visualization Strong knowledge of Power BI Experience with Tableau or similar visualization tools Advanced Microsoft Excel skills including: Power Query Pivot Tables Advanced Formulae Data Modelling VBA (preferred) Programming Experience in Python or R Knowledge of: Data manipulation Statistical analysis Predictive analytics Machine learning fundamentals Database & Data Engineering Strong SQL skills Hands-on experience with Snowflake Understanding of: ETL/ELT concepts Data Warehousing Dimensional Modelling Data Lakes Cloud Platforms Presentation & Communication Advanced Microsoft PowerPoint skills Ability to create executive-level presentations Strong storytelling and data visualization capabilities Ability to communicate technical concepts to business audiences Preferred Skills Candidates with exposure to any of the following will be highly regarded: dbt (Data Build Tool) Azure Data Factory Airflow AWS Glue Databricks Azure Synapse Git & CI/CD Machine Learning Cloud Platforms (Azure, AWS, GCP) Snowflake SnowPro Certification Statistical modelling techniques Text Analytics and NLP Contact Centre Analytics Telecom, Utilities, Financial Services, or Customer Operations experience Desired Experience & Qualification Experience Required Essential 3-5 years of experience in Data Analytics, Business Intelligence, or Management Information roles Experience developing dashboards and analytical solutions Strong stakeholder management experience Experience working with large operational datasets Preferred Experience in contact center environments Experience supporting operational performance functions Experience working with Snowflake or cloud data platforms Exposure to data engineering concepts and practices Key Competencies Analytical Thinking Problem Solving Data Storytelling Commercial Awareness Continuous Improvement Mindset Attention to Detail Stakeholder Management Curiosity and Innovation Learning Agility Business Partnering