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Results for data in "data" in Jobs in Gauteng in Gauteng
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JOB OUTPUTS AND KEY PERFORMANCE INDICATORSDesign, build, and maintain ELT pipelinesPipeline success rate (% jobs completed without failure)Data latency (extraction to availability)Error resolution turnaround timeIntegrate data across systems (WMS, TMS, ERP, IoT)Number of successful system integrations% data completeness and consistency across sourcesAverage time to onboard new data sourceData Lake / Warehouse ManagementSystem uptime and availabilityQuery performance (execution speed)Storage usage vs capacityStructured and clean data setsData quality score (accuracy, completeness, validity)Number of reported data issuesResolution turnaround timeCollaboration with BI and Data Science teamsTime to deliver datasets for reports and modelsInternal stakeholder satisfaction ratingSupport requests resolved within SLADocumentation and data cataloguing% of pipelines with up to date documentationMetadata completenessUser ease of data discoverySecurity and compliance support% compliance with access control policiesNumber of unauthorised access incidentsAudit readiness and completion rateProcess automationManual hours reduced via automationNumber of recurring tasks automatedStability of automated workflowsIssue analysis and root cause investigationsTime to issue resolution (from investigation to recommendation)Number of root causes correctly identifiedReduction in repeated issuesAdvanced SQL development, optimisation and data engineeringQuery performance improvements (execution speed and efficiency)SQL based data validation, transformation and cleansing coverageReusable SQL pipelines for recurring logistics workflows (inventory, shipments, routing)SQL based reconciliation across multiple systemsVersion controlled, documented SQL scripts aligned with governance standardsReduction in errors or rework due to SQL inefficienciesJOB SPECIFIC REQUIREMENTSMinimum Requirements (Experience and Qualifications)Bachelors or Masters in Computer Science or related fieldMicrosoft Certified Azure Data Engineer AssociateGoogle Professional Data EngineerAWS Certified Data AnalyticsCertifications in BI or analytics tools such as Power BI, Tableau or SQL3 to 5 years experience in data engineering preferably in logistics or supply chain sectorsRequired KnowledgeDevelopment of ELT and ETL pipelines using tools such as Apache Airflow,SSIS or Azure Data FactoryData integration across logistics systems including ERP, WMS, TMS and IoThttps://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1256696-Job-Search-01-28-2026-04-32-21-AM.asp?sid=gumtree
2d
Executive Placements
1
To design, build, and maintain robust, scalable data infrastructure that ensures secure, real-time access to operational and supply chain data. This role underpins accurate reporting, advanced analytics, and automationenabling performance optimisation, cost reduction, and smarter decision-making across the logistics value chain 1. Design, build, and maintain ELT pipelines Pipeline success rate Data latency (extraction to availability) Error resolution turnaround time 2. Integrate data across systems (WMS, TMS, ERP, IoT) Number of successful system integrations % data completeness and consistency across sources Average time to onboard new data source 3. Data Lake / Warehouse Management System uptime and availability Query performance (execution speed) Storage usage vs. capacity 4. Structured & Clean Data Sets Data quality score (accuracy, completeness, validity) Number of reported data issues Resolution turnaround time 5. Collaboration with BI & Data Science Teams Time to deliver datasets for reports/models Internal stakeholder satisfaction rating S% support requests resolved within SLA 6. Documentation & Data Cataloguing % of pipelines with up-to-date documentation Metadata completeness User ease of data discovery 7. Security & Compliance Support % compliance with access control policies Number of unauthorised access incidents Audit readiness/ completion rate 8. Process Automation Manual hours reduced via automation Number of recurring tasks automated Stability of automated workflows 9. Issue Analysis & Root Cause Investigations Time to issue resolution (from investigation to recommendation) Number of root causes correctly identified Reduction in repeated issues 10. Advanced SQL Development, Optimization & Data EngineeringQuery performance improvements (execution speed, efficiency)SQL-based data validation, transformation, and cleansing coverageReusable SQL pipelines for recurring logistics workflows (inventory,shipments, routing)SQL-based reconciliation across multiple systemsVersion-controlled, documented SQL scripts aligned with governance standardsReduction in errors or rework due to SQL inefficiencies Education and Experience Bachelors/Masters in Computer Science or related field Preferred certifications:o Microsoft Certified: Azure Data Engineer Associateo Google Professional Data Engineero AWS Certified Data Analyticso Certifications in BI or analytics tools (e.g. Power BI, Tableau, SQL) 35 years experience in data engineering, preferably in logistics, supply chain sectorshttps://www.executiveplacements.com/Jobs/S/Senior-BI-Data-Engineer-Boksburg-Engineering-Logis-1256093-Job-Search-1-27-2026-6-43-07-AM.asp?sid=gumtree
3d
Executive Placements
Position Type: Contract (Duration to be confirmed)Work Model: On-siteCLOSING DATE: 31 January 2026E-mail to info@theforensicfirm.co.za / SUBJECT: Junior Data AnalystABOUT THE ROLEWe are looking for a hands-on, detail-oriented individual with strong Excel skills to support day-to-day data analysis and reporting. This is an operational role, ideal for someone who enjoys working with structured datasets, validating information, and producing accurate reports. This role is best suited to a junior-to-intermediate candidate who is confident in Excel and comfortable working with large volumes of data.KEY RESPONSIBILITIES· Analyse and validate datasets for accuracy, completeness, and consistency· Identify discrepancies, trends, and data quality issues· Match, reconcile, and compare data across multiple Excel files· Prepare regular and ad-hoc reports using Excel· Maintain clean, structured, and auditable spreadsheets· Support internal teams with data analysis and reporting tasksREQUIRED SKILLS & EXPERIENCE· 2+ years’ experience in a data, admin, reporting,· Strong Microsoft Excel skills (essential)· Experience working with large and detailed datasets· High attention to detail and strong analytical abilityEXCEL SKILLS (ESSENTIAL)· VLOOKUP, XLOOKUP, INDEX & MATCH for data matching and reconciliation· Pivot Tables and Pivot Charts for data analysis and reporting· IF, nested IF, SUMIF, COUNTIF, AVERAGEIF formulas· Data cleaning techniques (remove duplicates, text-to-columns, data validation)· Conditional formatting to highlight errors, exceptions, and trends· Sorting, filtering, and structuring large datasets· Creating clear, well-formatted Excel reports for stakeholders· Basic error checking and audit-style validation within spreadsheetsIDEAL CANDIDATE· Methodical, organised, and process-driven· Comfortable with repetitive, detail-focused work· Able to work independently and meet deadlines· Good written and verbal communication skills· Not a senior or management-level candidateREMUNERATIONMarket-related remuneration, aligned to a junior/intermediate contract role and dependent on experience.
5d
Sandton1
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Our client is based in Germiston and looking for a Bookkeeper for a 4-month maternity leave contract. Own transport essential.Responsibilities:Record financial transactions, including income, expenses, purchases, and salesMaintain accurate and up-to-date general ledger entriesCapture journal entries for routine transactionsVerify and reconcile bank statements and other financial accountsAssist in month-end and year-end closing activities and provide necessary data for financial analysis and auditsEnsure accurate and timeous preparation of the VAT calculationPrepare accurate and timeous intercompany reconsMaintain accurate and up to date Masterfile recordsMaintain accurate and up-to-date cashbook recordsVerify accuracy of invoices, purchase orders, and delivery receiptsPrepare payments and ensure timely processingGenerate customer invoices and statementsPost and allocate customer paymentsMaintain organised and secure financial recordsContinuously monitor existing processes with the aim of improving and recommending improvements to those processes and new processesComply with and assisting the company in complying with all relevant legislation and company policys, including POPIReport matters of importance and business risks to your line manager as soon as reasonably possibleAccept responsibility as a data steward for the above areas of responsibility
https://www.jobplacements.com/Jobs/B/Bookkeeper-1256454-Job-Search-1-28-2026-11-37-26-PM.asp?sid=gumtree
1d
Job Placements
1
We are looking for SAP SAC Consultant (SAC Planning & SAC Analytics and Reporting): A SAP SAC planning consultant will join a team of finance, data and SAP specialists in Finance Regulatory Reporting domain. The projects aim is to automate the end-to-end process of reporting for a sub-set of regulatory returns. The process includes automation of data take on-on, transformation through application of relevant business rules through to report generation and submission. The automation process will mainly utilise SAP suite of applications.Duration - (required Start date): ASAP (Please note that security checks may impact the start dates)Duration - End date: December 2025Work Location: Alice Lane, Sandton (Hybrid)Technical Skills:Proficiency in SAP Analytics Cloud (SAC) Planning and Analytics modules.Hands-on experience with SAC data modeling, scripting (Advanced Formula), and planning functions.Expertise in connecting SAC with various data sources, including SAP BW, HANA, and third-party systems.Knowledge of predictive features in SAC and experience with Smart Predict.Understanding of SAC security concepts, including roles, teams, and data access control.BW4 Hana modeling an advantageFunctional Skills:Strong understanding of financial planning, budgeting, and forecasting processes.Ability to analyze business requirements and translate them into technical solutions.Expertise in delivering user-friendly and visually appealing dashboards.Soft Skills:Excellent communication and interpersonal skills to interact with stakeholders at all levels.Strong problem-solving and analytical thinking abilities.Self-motivated, with a proactive approach to learning and staying updated on SAC advancements.Ability to work in a dynamic, fast-paced environment, managing multiple priorities effectively.Detailed Deliverables / Outputs expected of the successful candidateSAC Planning:Design and implement SAC Planning models to address business needs in budgeting, forecasting, and financial planning.Develop complex calculations, data transformations, and input forms to enable effective planning processes.Configure data integration with SAP and non-SAP systems to populate planning models.Set up workflows, data locking, and version management to streamline planning cycles.Knowledge in writing R - ScriptsProvide support for what-if scenarios, variance analysis, and predictive planning functionalities.SAC Analytics & Reporting:Design and deliver SAC stories and dashboards for adva
https://www.executiveplacements.com/Jobs/S/SAP-SAC-Consultant-SAC-Planning--SAC-Analytics-an-1205034-Job-Search-7-22-2025-4-23-41-AM.asp?sid=gumtree
6mo
Executive Placements
1
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Job PurposeTo support dataâ??driven decision-making by analysing operational and business data, building dashboards, and identifying process improvements. This role combines data analytics with industrial engineering methodology to improve efficiency, reduce waste, and enhance overall business performance in Logistics.Key ResponsibilitiesData Analysis & ModellingAnalyse operational, production, supply chain, and business datasets.Build performance models, forecasts, and basic statistical analyses.Conduct rootâ??cause analysis using data-driven insights.Identify patterns, gaps, and efficiency opportunities.Reporting & VisualisationBuild and maintain dashboards in Power BI / Tableau / Qlik.Develop automated reporting processes.Present insights clearly to management and crossâ??functional teams.Track and measure KPIs and operational performance.Process Improvement (Industrial Engineering Focus)Apply Lean, Six Sigma, workflow mapping, and IE tools to analyse processes.Assist in designing and implementing improvement solutions.Support optimisation projects such as throughput improvement, cost reduction, layout optimisation, etc.Conduct time & motion studies where necessary.Data Management & GovernanceClean, validate, and maintain data quality.Collaborate with IT/data teams to improve data structures.Document datasets, dashboards, and analytical processes.Cross-Functional CollaborationWork closely with Operations, Finance, Supply Chain, and IT.Support project teams with quantitative analysis.Contribute to continuous improvement initiatives and action planning.Minimum QualificationsBachelors Degree in Industrial Engineering (essential).Additional qualifications in Data Analytics, Business Intelligence, or Statistics (advantageous).Certifications in Power BI, SQL, Lean Six Sigma, Python are beneficial.Required Skills & CompetenciesTechnical SkillsStrong analytical and problemâ??solving ability.Advanced Excel.Power BI / Tableau / Qlik dashboarding experience.SQL for querying and data extraction.Python or R exposure (beneficial).Industrial engineering tools (Lean, Six Sigma, mapping, optimisation).Soft SkillsExcellent communication and presentation skills.Ability to convert complex data into businessâ??friendly insights.Stakeholder engagement ability at operational and
https://www.executiveplacements.com/Jobs/P/Power-BI-Industrial-Engineer-1256816-Job-Search-01-28-2026-10-14-41-AM.asp?sid=gumtree
1d
Executive Placements
1
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Role overviewYou will:Design and maintain scalable, secure, high-performance data architectureBuild robust ETL/ELT pipelines for batch and streaming dataEnable analytics, BI, and AI workloads through reliable data platformsEnsure regulatory compliance and data governance for sensitive financial dataDuties:Design and maintain scalable, secure, and high-performance data architecturesDefine data models, schemas, and standards across transactional and analytical systemsArchitect data lakes, data warehouses, and real-time data pipelinesEnsure alignment with fintech regulatory and compliance requirementsBuild and maintain ETL/ELT pipelines for batch and streaming dataIntegrate data from internal systems, third-party APIs, and financial data providersOptimize data processing for performance, reliability, and cost efficiencyEnsure data quality, consistency, and availabilityDevelop and manage cloud-based data platforms (AWS, GCP, or Azure)Implement infrastructure-as-code and CI/CD for data pipelinesMonitor and troubleshoot data systems in productionImplement data security, access controls, encryption, and monitoringSupport data governance, lineage, and metadata managementCollaborate with compliance and risk teams on audits and regulatory needsWork closely with product managers, analysts, and ML engineersProvide technical guidance and best practices for data usageDocument architectures, workflows, and standardsMentor junior data engineers (if applicable)Requirements:5+ years of experience in data engineering, data architectureStrong proficiency in SQL and data modelling (dimensional and/or normalizedExperience building data pipelines using tools such as Airflow, dbt, Spark, or similarStrong programming skills in Python, Scala, or JavaHands-on experience with cloud data services (BigQuery, Redshift, Snowflake, Databricks)Experience with both batch and streaming data systems (Kafka, Kinesis, Pub/Sub)Solid understanding of data security, privacy, and governance principlesExperience in fintech, banking, payments, or financial servicesFamiliarity with regulatory frameworks (PCI DSS, SOC 2, GDPR)Experience supporting analytics, BI, and machine learning workloadsKnowledge of event-driven and real-time data architecturesPrior experience leading architectural decisions or data platform migrations
https://www.executiveplacements.com/Jobs/D/Data-EngineerArchitecture-1255520-Job-Search-1-25-2026-3-50-29-PM.asp?sid=gumtree
4d
Executive Placements
1
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Duties:1. Data Capturing & Filing: Generally, but not exclusively, the capturing processes will include the following:- Capturing of all invoices onto the company approved accounting system.- Capturing of all payroll data onto the company approved payroll system.- Maintaining an efficient filing system for all records to be kept and if needed archived according to the Company standards and statutory requirements of the law in general, and specifically the POPI/PAIA act. 2. Pay-roll: - Managing, processing, calculation, completing and payment of monthly pay roll data and managing all other aspects related to salaries and wages according to company and legal requirements.- Recording, investigating, and completing any queries that may arise through the payroll processes.- The above includes but is not limited to reconciliations of provident and medical aid/ funds, SARS PAYE, UIF, SDL, garnishee orders, labor union deductions relevant to the company processes and any other statutory deductions that may be required through the payroll process, and payment thereof.- Reporting and filling of all WRA or IOD and liaising with the relevant body, within the legal timeline requirements and or Company policies. Supplying all relevant information as required by the Company and or relevant body within the required timeline.- Maintaining all necessary communications with bargaining councils, legal bodies and statistic agencies and furnishing all relevant information as required by law.- Maintain and ensure that employee files, records of all relevant leave, in liaison with the HR- manager (if appointed) are always accurate and up to date. This includes all other relevant documents as required by law and within the requirements of the POPI/PAIA act. 3. Accounting: - Bank statement reconciliations of cash, EFT, speed-point, debtors deposits and any payment processed from the company to any relevant party.- Managing and taking responsibility of capturing and processing all relevant accounting data on the PEG approved and prescribed accounting systems.- Complete month end creditors statement reconciliations, and payments thereof to creditor accounts within the due dates of such accounts, subject to terms and or credit limits available, subject to Directors approval.- Ensure the safety and correct procedures are maintained regarding the company creditors payments and general settling of expenses either by EFT or petty cash pay-outs.- To be responsible for the monthly accounting pro
https://www.jobplacements.com/Jobs/B/Bookkeeper-Woodmead-1256850-Job-Search-01-28-2026-10-55-28-AM.asp?sid=gumtree
1d
Job Placements
1
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ESSENTIAL SKILLS:Strong experience with Azure data services (Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Data Explorer/Kusto)Proficiency in SQL for data extraction, transformation and analysisExperience building ETL/ELT pipelines and data integration workflows in Azure Data Factory Pipelines or Databricks WorkflowsSkilled in dimensional modelling and designing data models (e.g. star/snowflake schemas)Experience with data visualisation tools (Tableau/Power Bi/Celonis) and building interactive dashboards and reportsKnowledge of data warehousing concepts and best practices, including partitioning and indexing strategiesSolid analytical skills with experience in translating business requirements into technical data solutionsFamiliarity with data governance, data quality practices and metadata managementProficiency in scripting/programming for data tasks (Python, PySpark)Strong communication skills to present insights to technical and non-technical stakeholdersADVANTAGEOUS SKILLS:Familiarity with Databricks on Azure and Spark-based processingKnowledge of CI/CD for data pipelines (Azure DevOps, Git integration)Experience with data cataloguing tools (e.g., Unity Catalog) and lineage trackingUnderstanding of security and access control in Azure (role-based access, managed identities)Experience with real-time/streaming data solutions (Event Hubs, Stream Analytics, Kafka)Exposure to data validation and testing frameworks (e.g., Great Expectations)Prior experience working in Agile teams and using tools like Jira and ConfluenceAzure certification(s) such as Azure Data Engineer Associate or Azure Data Scientist Associate advantageousQUALIFICATIONS:Bachelors degree in Computer Science, Data Science, Statistics, Business Analytics or a related field (or equivalent practical experience)Minimum of 5+ years hands-on experience in data analysis, data engineering or analytics roles with significant Azure exposureDemonstrable experience delivering production-ready data solutions, dashboards and documentation in an enterprise environment
https://www.executiveplacements.com/Jobs/D/Data-Scientist-Senior-0228-1255499-Job-Search-01-25-2026-10-17-29-AM.asp?sid=gumtree
4d
Executive Placements
1
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Senior Data Engineer | South Africa | PermanentBuild the data backbone that powers smarter logistics decisions.Own complex pipelines that turn operational data into real-time insight across the supply chain.This role sits at the core of a Business Intelligence environment, responsible for designing, building, and maintaining a scalable data infrastructure that supports reporting, advanced analytics, and automation. You will work with high-volume operational and supply chain data, ensuring secure, reliable, and timely access for analytics, optimisation, and decision-making across the logistics value chain.Working closely with BI, analytics, and operational stakeholders, you will integrate multiple data sources, improve data quality, and continuously optimise performance. The environment is fast-paced and operationally critical, requiring strong problem-solving skills, attention to detail, and the ability to work under pressure.Our client operates in a complex, regulated logistics environment, supporting critical supply chain operations across South Africa. The organisation is data-driven, performance-focused, and committed to using analytics and automation to improve efficiency, visibility, and compliance across its network.What You’ll DoDesign, build, and maintain robust ELT pipelines with high availability and low latencyIntegrate data across ERP, WMS, TMS, and IoT platformsManage and optimise data lake and data warehouse environmentsDevelop, optimise, and maintain advanced SQL transformations and pipelinesEnsure high standards of data quality, validation, and governanceCollaborate with BI and data science teams to deliver trusted datasetsAutomate recurring data processes to reduce manual effortInvestigate data issues, perform root cause analysis, and implement permanent fixesMaintain clear documentation and su
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1256539-Job-Search-01-28-2026-03-00-16-AM.asp?sid=gumtree
2d
Executive Placements
1
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Company and Job DescriptionOur client is a leading player in the electrification and automation space, committed to innovation and sustainability. This role offers you the opportunity to work on advanced data engineering projects that enable data-driven decision-making across the organisation. Be part of a progressive company shaping the future of technology, working in a collaborative environment with minimal travel and standard business hours, while enjoying competitive compensation aligned with industry benchmarks. Youll gain exposure to modern data platforms, cutting-edge tools, and have the opportunity to influence strategic business reporting.Key Responsibilities:Design, build, and maintain scalable data pipelines for ingestion, transformation, and distribution.Manage data warehouse architecture and schemas for efficient analytics.Collaborate with stakeholders to translate business requirements into reliable data models.Job Experience and Skills RequiredDegree in Computer Science, Information Systems, Engineering, or related technical field.58+ years in data engineering, database development, or BI architecture.Proven expertise in GCP and Big Data technologies with strong proficiency in database querying languages and RDBMS.Experience with scripting languages for data manipulation and automation.Solid understanding of ETL/ELT methodologies and data modelling techniques.Analytical mindset with ability to troubleshoot complex data integration issues.Exposure to cloud-based data platforms and modern integration tools, Ensure data quality, security, and compliance across the infrastructureApply Now!
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1251395-Job-Search-01-14-2026-04-14-16-AM.asp?sid=gumtree
1d
Executive Placements
1
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Key responsibilities include: Analyzes data stored in cloud environments to extract insights and support data-driven decision-making.Use various cloud analytics tools and technologies, including data visualization software and machine learning algorithms.Ensure that data is accurate, consistent, and readily available for analysis. Required qualifications and experience: Diploma (NQF Level 6) in Information Technology (IT) or related field. Must have any relevant Cloud Data Analytics certification.7+ years experience as a Cloud Data Analyst
https://www.executiveplacements.com/Jobs/C/Cloud-Data-Analyst-1198527-Job-Search-06-27-2025-10-27-38-AM.asp?sid=gumtree
7mo
Executive Placements
1
Head of Data & Technology. This pivotal role combines strategic oversight with hands-on leadership, ensuring secure, scalable systems, governed data, and actionable analytics that power business operations and fuel growth.This is a leadership role responsible for the data strategy and the companys technological infrastructure. This role involves overseeing data governance, developing data strategy, managing technology teams, and ensuring that data and technology initiatives align with overall business objectives. Key responsibilities include managing data architecture and security, guiding technology choices, and leading teams of data scientists, engineers, and analystIn the short term, youll focus on stabilising delivery and strengthening foundations. Over time, youll build a modern, data-driven ecosystem that enables smarter decisions, sharper insights, and meaningful impact in the healthcare sector.Working in close partnership with the Analytics & Economics team, youll guide the automation of reporting, advance analytical maturity, and support complex, high-value analysis that informs critical business and clinical strategies.Key ResponsibilitiesDefine and deliver a comprehensive Data & Technology strategy aligned to organisational goals.Lead, coach, and empower teams across Data, Analytics, Development, and Business Analysis.Establish and uphold data governance, coding standards, and delivery best practices.Chair the Technology Steering Committee, prioritising initiatives and resource allocation.Oversee system stability, ensuring uninterrupted operations and proactive i
https://www.executiveplacements.com/Jobs/C/Chief-Data--Technology-Officer-Hybrid-1236132-Job-Search-1-28-2026-5-39-18-AM.asp?sid=gumtree
2d
Executive Placements
1
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Key Responsibilities:Design and build conceptual, logical, and physical data models within Datasphere.Develop and maintain semantic layers, views, and data products aligned to business requirements.Integrate diverse data sources (cloud, on-premises, APIs, flat files) into Datasphere.Ensure data quality, governance, security, and compliance with enterprise standards.Optimize models for performance and scalability.Collaborate with BI, analytics, and business stakeholders to translate requirements into robust data models.Provide technical documentation and knowledge transfer. Qualifications & Skills:Bachelors degree in information systems, Computer Science, or related field.Proven experience with SAP Datasphere (or SAP Data Warehouse Cloud) and strong data modelling background.Proficiency in SQL and relational database concepts, Snowflake, Azure, Google Big QueryExperience with data integration tools and cloud platforms (e.g., SAP BTP, Azure, AWS, GCP).Understanding of star/snowflake schemas, dimensional modelling, and semantic modelling.Knowledge of data governance, security concepts, and best practices.Strong analytical, problem-solving, and communication skills. Experience:7 years+ experience in data engineering, data modelling, or BI development.Hands-on experience with Datasphere or equivalent cloud-based data platforms.
https://www.executiveplacements.com/Jobs/S/Senior-Datasphere-Specialist-1256199-Job-Search-01-27-2026-04-29-23-AM.asp?sid=gumtree
3d
Executive Placements
1
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Company and Job Description: Office based with flexibilityCollaborative and dynamic team environmentOpportunities for professional development and growthKey Responsibilities: Collect, clean, and prepare structured and unstructured financial data for BI and analyticsSupport machine learning model development, performance evaluation, and feature engineeringBuild Power BI reports to communicate insights clearly to stakeholdersCollaborate with cross-functional teams to deliver relevant, data-driven insights and automationContinuously improve processes while staying current with data analytics tools and best practicesJob Experience and Skills Required: Bachelors degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field02 years experience in data analysis, preferably within the finance industryProficiency in Python (pandas, matplotlib, scikit-learn) and basic SQLExperience with Power BI, Excel, and reporting tools; familiarity with financial data platformsExposure to data pipelines, Git, and cloud environments is advantageousApply now!
https://www.jobplacements.com/Jobs/G/Graduate-Data-Scientist-1257487-Job-Search-01-30-2026-04-15-08-AM.asp?sid=gumtree
11h
Job Placements
1
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Were seeking an experienced Full Stack Data Warehouse Developer with Insurance Industry Experience to help design, build, and support a modern enterprise reporting and analytics platform. This role is ideal for a data professional who enjoys working across the full BI lifecycle, mentoring junior team members, and delivering high-quality, performance-driven insights to the business.What youll doDesign, develop, and support BI solutions including dashboards, reports, and visualizationsBuild and maintain ETL pipelines using Azure Data Factory / Synapse and the Microsoft BI stackDevelop and optimize data models, queries, views, and database objectsIntegrate data from diverse on-prem, cloud, vendor, and Office 365 sourcesApply performance tuning and database optimization techniquesCollaborate with DevOps and participate in testing and release cyclesEnforce data quality, security, and development standardsReview code, oversee BI solution quality, and mentor junior team membersDrive innovation and adoption of modern data technologiesWhat youll bring34 year IT qualification in Software DevelopmentRelevant Microsoft certification in the Data space6+ years IT experience, with 4+ years in BI/Data AnalyticsStrong experience with SQL Server, Power BI, SSIS, SSASHands-on experience with Azure Data Factory / Synapse PipelinesSolid understanding of data warehousing, modelling, and reportingExcellent problem-solving, communication, and stakeholder engagement skillsExperience in financial services or insurance is a strong advantageWhy join usWork on large-scale, business-critical BI solutionsBe part of a collaborative, forward-thinking data teamInfluence architecture decisions and mentor emerging talentGrow your expertise in modern cloud and analytics technologies
https://www.executiveplacements.com/Jobs/F/Full-Stack-Data-Warehouse-Developer-1255725-Job-Search-01-26-2026-04-24-48-AM.asp?sid=gumtree
4d
Executive Placements
1
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What youll doCapture, maintain and reconcile data accurately using ExcelSupport daily office administration and operational reportingAssist with basic scheduling, filing and document controlLiaise with internal teams to ensure information is up to date and accurateProvide general administrative support to the office and operations teamWhat you bringStrong Excel skills and confidence working with dataProven experience in data capture and administrative supportHigh attention to detail and a methodical, organised approachClear, professional communication skillsExperience in a plant or manufacturing environment (preferred)Get in touch to find out more -
https://www.jobplacements.com/Jobs/O/Office-Administrator-1251769-Job-Search-01-14-2026-10-39-03-AM.asp?sid=gumtree
15d
Job Placements
1
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About the roleMaintains data storage and access by designing physical databases.ResponsibilitiesReportingSend instore reporting and ensure loaded on one drive.Check mandrel for failed instore reporting emails.Pull weekly robot reports for range housekeeping requirements.Pull weekly required housekeeping or relevant reporting (example potential phantom or a suggested order).Process aged stock reports and print for Gauteng and inland stores.Process feedback report or upload captured aged stock reporting to PBI.Development of reporting with sister company OJ.General report assistance.MeasureQuality of reports.Weekly reports completed.Aged stock reports printed.Feedback reports.System AdministrationSaving and processing of stock files for system uploads.Maintaining SharePoint folders save the work you do for ease of access by all.Maintain system dates and background tasks on Company website, to ensure our stock files are uploaded correctly and our system runs smoothly.Upload master files and site filesMaintain the master site and master, master file.Work closely with developers on testing and updates to systems.Complete testing of changes to our system before we deploy to live.Validate data on all systems.Management of an automated account where applicable.MeasureSystem maintenance.File uploads.Quality of master file.System updates done.Data capturinghttps://www.executiveplacements.com/Jobs/D/Database-Analyst-1256317-Job-Search-01-27-2026-10-06-28-AM.asp?sid=gumtree
2d
Executive Placements
1
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Responsible for the companys technological infrastructure and data strategy.Oversee data governance, develop data strategy, manage technology teams, and ensure that data and technology initiatives align with overall business objectives.Key responsibilities include managing data architecture and security, guiding technology choices, and leading teams of data scientists, engineers, and analystIn the short term, youll focus on stabilising delivery and strengthening foundations. Over time, youll build a modern, data-driven ecosystem that enables smarter decisions, sharper insights, and meaningful impact in the healthcare sector.Key ResponsibilitiesDefine and deliver a comprehensive Data & Technology strategy aligned to organisational goals.Lead, coach, and empower teams across Data, Analytics, Development, and Business Analysis.Establish and uphold data governance, coding standards, and delivery best practices.Chair the Technology Steering Committee, prioritising initiatives and resource allocation.Oversee system stability, ensuring uninterrupted operations and proactive incident management.Manage budgets, cloud infrastructure, and vendor relationships efficiently.Champion agile delivery methods and continuous process improvement.Act as a senior escalation point for technology, data, and analytics challenges.Foster a culture of accountability, innovation, and conti
https://www.executiveplacements.com/Jobs/H/Head-of-Technology-Hybrid-1255616-Job-Search-1-26-2026-6-15-12-AM.asp?sid=gumtree
4d
Executive Placements
1
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Role overview: As an Analytics Engineer, youll bridge the gap between data engineering and analytics, designing robust data models and enabling scalable insights for business, product, risk, and compliance teams. This is a high-impact role for someone who thrives on technical precision, collaboration, and delivering trusted data assets that power strategic decisions.This role ensures that our clients financial and operational data is accurate, reliable, and analytics-ready. You will:Build analytics-ready data models that serve as the backbone for BI and advanced analyticsEnable self-service analytics for stakeholders across the organizationDrive data quality and governance for regulated financial metricsDutiesDesign, build, and maintain fact and dimension tables using best-practice modelling techniqueTransform raw data into structured, analytics-ready datasets using modern frameworks (e.g., dbtApply version control, testing, and deployment best practices for reliable data pipelinesEnsure accuracy, consistency, and compliance for financial and operational metricsDefine and maintain business KPIs, metric definitions, and semantic layersDocument all data models, transformations, and assumptions for transparencyPartner with data engineers to optimize pipelines and warehouse performanceSupport analysts and business teams with self-service dashboards and reportingTroubleshoot and resolve data issues impacting reporting, compliance, and performanceIntroduce modern data stack practices to improve scalability and efficiencyAdvocate for data literacy and best practices across analytics teamsContribute to data architecture decisions and roadmap planningRequirements 3+years related experienceBachelors degree in Computer Science, Data Analytics, Engineering, Mathematics, or related fieldStrong SQL skills and experience with large datasetsHands-on experience with modern data warehouses (Snowflake, BigQuery, Redshift)Familiarity with data modelling concepts (star schema, dimensional modelling)Understanding of BI tools (Power BI, Tableau, Looker)Experience working in Agile, cross-functional environmentsExperience in FinTech, banking, or financial servicesKnowledge of financial metrics (revenue, churn, fraud, risk indicators)Experience with dbt, Airflow, or similar orchestration toolsFamiliarity with Python or scri
https://www.executiveplacements.com/Jobs/A/Analytics-Engineer-1255518-Job-Search-1-25-2026-3-50-05-PM.asp?sid=gumtree
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