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Results for data in "data", Full-Time in Jobs in South Africa in South Africa
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Talent Mapper / Research AnalystDrive data-led talent mapping and strategic pipeline developmentGardens, Cape Town | R20,000 R25,000 basic + quarterly incentives | In-officeAbout Our ClientA high-performance recruitment firm delivering exceptional talent to growth-focused companies across South Africa and internationally. The company prides itself on quality, speed, and market insight, helping clients scale effectively and competitively.The Role: Talent Mapper / Research AnalystThis role supports the South African recruitment division by identifying, analysing, and mapping top talent in key markets. You will build strategic pipelines, track competitor insights, and provide recruiters with high-quality candidate data to support ongoing and future hiring needs.Key ResponsibilitiesBring 2+ years of experience in research, recruitment analysis, or talent mappingIdentify and profile potential candidates across industries, functions, and geographiesBuild and maintain accurate talent pipelines for current and future rolesMap client competitors, hiring trends, and organizational structuresEngage passive candidates and track long-term availability and interestGather and assess data on candidate skills, experience, and cultural fitCompile market intelligence reports, salary benchmarks, and talent availability analysesCollaborate with recruiters and hiring managers to tailor talent sourcing strategiesMaintain up-to-date records on ATS, CRM, and other sourcing platformsAbout YouMinimum 2 years experience in recruitment research, sourcing, or data analysisSkilled in using LinkedIn, job boards, ATS/CRM systems, and market mapping toolsAnalytical and detail-oriented with strong organizational skillsProactive mindset with excellent communication and reporting abilitiesComfortable working independently and supporting multiple recruitment teamsKnowledge of recruitment markets and role functions is advantageous
https://www.jobplacements.com/Jobs/T/Talent-Mapper-Research-Analyst-1261725-Job-Search-2-12-2026-5-22-05-AM.asp?sid=gumtree
11d
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Designing and implementing production grade ML/AL featuresTraining, deploying and supporting machine learning models in live environmentsEngineering scalable services within distributed, microservice based systemsWorking with large, complex datasets to extract meaningful insightsBuild systems that process massive, real-time data volumesSkills & Experience: Minimum 3+ years of hands-on experience in data science or data-focused software engineeringProven experience deploying ML/AI models into productionStrong programming skills in Python and/or JavaSolid understanding of software engineering with large datasetsComfortable in Unix based environments (scripting, troubleshooting, networking_Experience with CI/CD pipelines for ML workflowsQualification:Bachelors Degree in Data Science, Computer Science, Engineering, Applied Mathematics or similar Contact Penny Janse Van Rensburg on
https://www.jobplacements.com/Jobs/D/Data-Scientist-1264023-Job-Search-02-19-2026-04-13-34-AM.asp?sid=gumtree
4d
Job Placements
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A recent professional profile photo is to accompany your applicationEMPLOYMENT TYPE : Permanent / Part TimeSECTOR : Finance / BookkeepingBASIC SALARY : Set monthly fee for ad hoc workSTART DATE : A.S.A.P / ImmediateREQUIREMENTS:Minimum of 5 years proven experience in bookkeeping or a similar roleStrong proficiency in accounting software, particularly SAGEProficiency in MS OfficeDegree in Financial Accounting (BAcc, BCom, BCompt, or equivalent)Certified Bookkeeper qualification will be advantageousCandidates must reside in Cape Town DUTIES:Accurately record financial transactions (sales, purchases, payments, receipts, and journals) in accounting software or ledgers.Maintain accurate and complete ledger entries, regularly reconciling discrepancies in financial records.Perform monthly bank reconciliations to ensure the accuracy of financial data.Conduct monthly reconciliations of all balance sheet accounts and related ledgers.Manage and reconcile petty cash, credit card purchases, and sales representatives travel and accommodation expenses.Oversee fleet management administration, including managing fuel cards, logbooks, and the accounting function for fleet vehicles.Assist with tax preparation by gathering and organizing financial data for tax submissions and audits, including the monthly VAT201 reconciliation and submission.Prepare and generate financial reports for internal review.Manage the purchase order process, including creating purchase orders, sending them to suppliers, following up on deliveries, matching purchase orders to delivery notes, and reporting on outstanding purchase orders at month-end.Assist with the preparation of annual audit files and provide feedback to auditors.Perform all other financial and administrative duties related to this position.HOURS:Part-time position, working as needed, with flexible hours.
https://www.jobplacements.com/Jobs/B/Bookkeeper-Part-Time-Remote-1263684-Job-Search-02-23-2026-00-00-00-AM.asp?sid=gumtree
14h
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In this role, youll design and deploy machine learning, statistical, and AI-driven solutions, working across the full data lifecycle from data exploration and modelling to deployment and insight delivery. Youll play a key role in shaping innovative analytics initiatives, contributing to new projects, and building future-focused capabilities using modern platforms such as AWS and SAS Viya. This role suits someone who blends strong technical capability with commercial awareness and a passion for real-world problem-solving.Key Responsibilities: Own end-to-end data workflows: extraction, cleansing, preparation, analysis, and modellingDesign and deliver impactful dashboards and visualisations to communicate insightsBuild, test, and deploy statistical and machine learning models using SAS, Python, and SQLDevelop innovative AI-driven solutions for complex business challengesTranslate ambiguous business problems into clear, structured analytical approachesWork within AWS and SAS Viya environments for scalable development and deploymentPartner closely with business stakeholders to understand needs before designing solutionsPresent insights, recommendations, and model outputs in a clear, business-focused mannerJob Experience and Skills Required:Education:Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplineStrong theoretical foundation in statistical modellingExperience:Strong experience in data preparation, wrangling, and exploratory data analysisHands-on experience using SAS, Python, and SQL in production environmentsProven experience building machine learning and/or statistical modelsExposure to cloud platforms, preferably AWSExperience with data visualisation tools (e.g. SAS Visual Analytics or similar platforms)Skills & Attributes:Strong analytical and structured problem-solving abilityAbility to work autonomously and take full ownership of solutionsExcellent communication skills with the ability to tell clear, compelling data storiesNaturally curious, experimental, and eager to learnStrong collaboration skills across technical and non-technical teamsComfortable in fast-paced, dynamic environmentsMotivated by complex challenges and meaningful impactFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1264206-Job-Search-02-19-2026-10-14-48-AM.asp?sid=gumtree
4d
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Senior Executive Personal Assistant to provide High-Level Administrative support - Property/Legal knowledge*MUST be willing to TRAVELL NATIONALLYResponsibilities:Act as the primary Point of contact for Internal & External StakeholdersMaintain an an accurate and up-to-date Property RegisterTrust & Structure Administration (An Advantage)Liaise with Professional Advisors (Trustees, Attorneys, Accountants)Manage the Managers Calendar & Co-ordinate Meetings and Appointments.Prepare and Edit Correspondence, Communications, Presentations & other Documents.Conduct Research, collect & Analyze Data to prepare Reports and Documents.Handle Confidential information and sensitive issues with integrity and discretion.Coordinate Travel arrangements and prepare Travel Itineraries.Manage Expenses and assist with Budget PlanningIncome Tax SupportEvent & Management MeetingsOrganize and maintain the Managers office systems.Provide general administrative supportSKILLS & QUALIFICATIONS:* Minimum 6 years of experience in a similar role* Possess Excellent Communication and Organizational Skills* Proficient in MS Office suite* Matric
https://www.jobplacements.com/Jobs/S/SNR-EXECUTIVE-PERSONAL-ASSISTANT-1250355-Job-Search-02-11-2026-00-00-00-AM.asp?sid=gumtree
12d
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Join a dynamic, missionâ??focused organisation that leverages data to drive smarter decisions across sales, credit, operations, and products. Youll work in an environment that values curiosity, problemâ??solving and continuous learning, giving you the opportunity to grow into a wellâ??rounded data professional.As a Junior Data Analyst, youll extract insights from complex datasets, build dashboards that guide business actions, and help transform the organisation from instinctâ??based decision-making to evidence-driven strategy. This role offers mentorship, exposure to crossâ??functional teams, and the chance to work with modern data tools and technologies.Whats in it for you? Career development, handsâ??on technical experience, ownership of meaningful analytical work, and the opportunity to influence real business outcomes from day one all while working in beautiful Cape Town.Key Responsibilities:Extract, clean and analyse data from databases and data warehouses to uncover meaningful insights.Build dashboards and visual reports that enable business teams to monitor performance and drive strategic decisions.Partner with crossâ??functional teams to understand data needs and convert them into actionable analysis.Maintain high data quality by identifying gaps, inconsistencies and opportunities for improved data integrity.Support ongoing enhancements to analytical processes, tools and reporting frameworks.Job Experience and Skills Required:Education (Minimum):Bachelors degree in Actuarial Science, Statistics, Data Science, Mathematics, Economics, Computer Science, or a related fieldExperience:03 years experience in data analysis or related fieldsTechnical Skills:SQL (essential)Experience with data visualisation tools, such as Tableau, Power BI, or similarStrong Excel / spreadsheet capabilityPython or R (advantageous)Soft Skills / Nonâ??Negotiables:Must be based in Cape TownStrong analytical and problem-solving abilityClear communication skills, especially when presenting insights to nonâ??technical audiencesCuriosity, attention to detail and a proactive attitudeComfortable working in a fast-paced, iterative environmentApply now!For more exciting Finance vacancies, please visit:
https://www.jobplacements.com/Jobs/J/Junior-Data-Analyst-1262117-Job-Search-02-13-2026-00-00-00-AM.asp?sid=gumtree
8d
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In this role, youll design and deploy machine learning, statistical, and AI-driven solutions, working across the full data lifecycle from data exploration and modelling to deployment and insight delivery. Youll play a key role in shaping innovative analytics initiatives, contributing to new projects, and building future-focused capabilities using modern platforms such as AWS and SAS Viya. This role suits someone who blends strong technical capability with commercial awareness and a passion for real-world problem-solving.Key Responsibilities: Own end-to-end data workflows: extraction, cleansing, preparation, analysis, and modellingDesign and deliver impactful dashboards and visualisations to communicate insightsBuild, test, and deploy statistical and machine learning models using SAS, Python, and SQLDevelop innovative AI-driven solutions for complex business challengesTranslate ambiguous business problems into clear, structured analytical approachesWork within AWS and SAS Viya environments for scalable development and deploymentPartner closely with business stakeholders to understand needs before designing solutionsPresent insights, recommendations, and model outputs in a clear, business-focused mannerJob Experience and Skills Required:Education:Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplineStrong theoretical foundation in statistical modellingExperience:Strong experience in data preparation, wrangling, and exploratory data analysisHands-on experience using SAS, Python, and SQL in production environmentsProven experience building machine learning and/or statistical modelsExposure to cloud platforms, preferably AWSExperience with data visualisation tools (e.g. SAS Visual Analytics or similar platforms)Skills & Attributes:Strong analytical and structured problem-solving abilityAbility to work autonomously and take full ownership of solutionsExcellent communication skills with the ability to tell clear, compelling data storiesNaturally curious, experimental, and eager to learnStrong collaboration skills across technical and non-technical teamsComfortable in fast-paced, dynamic environmentsMotivated by complex challenges and meaningful impactFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1262762-Job-Search-02-16-2026-00-00-00-AM.asp?sid=gumtree
4d
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Location:Parow Industrial, Cape TownKey ResponsibilitiesSource parts and suppliers, obtaining multiple quotes for cost savingsMaintain accurate stock and inventory records; reconcile stock takesImplement and maintain stock control systemsPartial creditors function: reconcile invoices to statements (no payment runs)Capture fleet data and maintain recordsEnsure office documentation and data entry is accurate and up-to-dateAssist with occasional weekend work for stock takes or office dutiesMinimum RequirementsEducation: Matric + some post-matric qualification (diploma/university advantageous)Experience: Ideally 2 years in buying/stores/creditors, but attitude and willingness to learn are more importantComputer skills: Pastel, Excel, in-house appsCandidate ProfileHigh-energy, proactive, self-drivenOrganized, detail-oriented, and able to work under pressureReliable with strong time management skillsStrong communication and interpersonal skillsMust have own transportHow to Apply:
https://www.jobplacements.com/Jobs/B/Buyer-Stock--Stores-Creditors-Clerk-1257569-Job-Search-02-19-2026-00-00-00-AM.asp?sid=gumtree
5d
Job Placements
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E-commerce Insights AnalystExtract, manipulate, and analyse website and deal performance data to drive commercial decisions and optimise on-site performance.Cape Town, Century City. R25 000 R33 000 p/m.About Our ClientThe company operates the website wowcher.co.uk. It is an e-commerce platform that features deals, listings, and a marketplace.The Role: E-commerce Insights AnalystThis is a hands-on, technical data role that exists to extract and analyse raw performance data to impact revenue performance. The role contributes to the business by identifying underperforming deals and providing data-backed recommendations for price changes, repositioning, and exposure. The main focus areas include deal-level performance analysis, website optimisation, and competitor benchmarking.Key ResponsibilitiesExtract raw performance data from internal systems and databases, including AWS and SQL-based environments.Manipulate and structure large datasets for analysis through cleaning, transforming, and validating.Analyse deal-level performance, including conversion rates, click-through rates, revenue, pricing elasticity, and regional trends.Identify underperforming deals and provide recommendations for price changes, repositioning, or increased exposure.Monitor seasonal and regional trends using historical and live data.Support website optimisation decisions by quantifying the impact of listing changes, such as imagery and positioning.Conduct competitor benchmarking analysis and marketplace comparisons.Build clear reports and dashboards to support commercial decision-making and deliver ad-hoc performance investigations.About YouTertiary qualification in an analytical-related degree such as Mathematics, Statistics, Engineering, Computer Science, or Economics.Strong SQL skills, including writing queries, joins, aggregations, and filtering large datasets.Experience working with AWS data environments.Proven ability to extract, manipulate, and analyse structured data independently.Strong Excel or Google Sheets skills, including advanced formulas, pivot tables, and data modelling.Experience working with large transactional datasets.Comfortable working independently and executing analytical tasks with minimal supervision.
https://www.jobplacements.com/Jobs/E/E-commerce-Insights-Analyst-1263754-Job-Search-2-18-2026-8-18-19-AM.asp?sid=gumtree
5d
Job Placements
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