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Logistics Company seeks a broadminded Indian/White female to do the functions of a PA/Logistics/Admin Controller. *Must be computer literate - excel, emails and invoicing*Must be able to work extended hours and weekends*some prior experience in Logistics/Transport would be an advantage*must be prepared to travel with overnight sleepovers*loyal, honest and dedicate - polygraph screening would be conductedemail picture and CV to katskyenergy@yahoo.com
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We are a busy restaurant in the South of Johannesburg and
we’re looking for anyone who has an outgoing, bubbly and dynamic personality. We
can only consider candidates who are extremely well spoken and well presented
as communicating with customers is the main focus of the job. Full in-house
training provided, although previous experience is preferred. Please send a WhatsApp with your name and nationality to find out interview dates and times.Please note: We are only considering SOUTH AFRICAN citizens at this time.
Johannesburg South
Procurement Manager Midrand Gauteng
We are seeking an experienced, commercially minded Procurement Manager to lead procurement for an FMCG client. You will drive cost savings, secure supply continuity for agricultural inputs, equipment and services, and build strong supplier partnerships to support operational performance.
Salary Market-related (dependent on experience and qualifications)
Minimum requirements
• Bachelor’s degree in Business, Supply Chain, Procurement or related field
• 10+ years’ procurement experience with management exposure agricultural or FMCG preferred
• Proven track record in supplier negotiations and delivering cost savings
• Strong understanding of agricultural supply chains and seasonal procurement dynamics
• Proficient with procurement/ERP systems and MS Office
• Excellent analytical, communication, stakeholder engagement and leadership skills
• Willingness to travel and work extended hours during peak seasons
Key competencies
• Commercial acumen & negotiation skills
• Strategic sourcing & supplier management
• Governance, compliance & risk management
• Results-driven, process optimisation focus
• Team leadership in fast-paced, seasonal environments
Responsibilities
• Develop and implement procurement strategies aligned to production and financial goals
• Lead supplier selection, contract negotiation and SLA management to secure favourable terms
• Manage end-to-end procurement operations (requisition to delivery), ensuring quality, cost control and on-time supply
• Monitor market/commodity trends and procurement KPIs; analyse data to drive decisions and savings
• Maintain supplier performance reviews and continuous improvement initiatives
• Collaborate with production, operations, finance and technical teams to align sourcing with operational needs
• Ensure procurement policies, governance and risk mitigation are embedded across the function
Apply online
FROGG RecruitmentSalary: RNegotiable Consultant Name: Quinton Wright
Midrand
Results for data in "data" in Jobs in Gauteng in Gauteng
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This is a fantastic opportunity to join a forwardâ??thinking healthcare organisation that is deeply committed to innovation, digital transformation, and the intelligent use of data to improve patient outcomes and business performance.As a Data Scientist, you will play a critical role in enabling dataâ??driven decisionâ??making across the organisation. Youll work within an advanced analytics environment where experimentation, new ideas, and disruptive techniques are encouraged.The role spans the entire data science lifecycle from understanding business requirements and performing feature engineering to building, validating, deploying, and monitoring productionâ??grade models used by various business functions.Whats In It For You?:Work on impactful healthcare analytics projectsExposure to advanced ML technologies and bigâ??data architectureHighly innovative environment with room for research and experimentationOpportunity to influence strategy and shape predictive modelling frameworksKey Responsibilities:Develop predictive and prescriptive analytics solutions to support key business decisions.Work across the full data science lifecycle: data preparation, feature engineering, modelling, validation, deployment, and monitoring.Partner with business stakeholders to define analytical requirements, provide insights, and develop dataâ??driven strategies.Research, test, and implement innovative ML/statistical techniques to improve analytics capabilities.Build productionâ??ready ML models and monitor model performance to ensure they remain accurate and fit for purpose.Present insights, trends, and analytical findings to technical and nonâ??technical audiences.Job Experience and Skills Required:Education (Minimum Requirement):Honours / Masters / PhD in Statistics, Computer Science, Mathematics, Engineering, or related quantitative fields.Certifications in Python, cloud platforms, big data, machine learning, or related technologies beneficial.Experience:56 years experience in data science or advanced analytics.Strong experience with Python (NumPy, Pandas, SciPy, Matplotlib) and Jupyter notebooks.SQL proficiency and experience managing large structured and unstructured datasets.Handsâ??on experience in applying machine learning techniques to solve business problems.Experience working in agile development teams.Experience deploying or operationalising data science solutions in a production environment.Skills and Competencies:Strong knowledge of the Data Science Development Cycle.Ability to clean, transform, and unify complex datasets for modelling.Strong visualisation experi
https://www.jobplacements.com/Jobs/D/Data-Scientist-1266559-Job-Search-02-26-2026-00-00-00-AM.asp?sid=gumtree
8d
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1
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ETL/ELT DeveloperLocationGauteng, JohannesburgJob TypeContract Full-Time hoursPrimary IndustryBanking and FinanceJob DescriptionThe ETL/ELT Developer is responsible for designing, developing, and maintaining efficient Extract, Transform and Load (ETL) or Extract, Load and Transform (ELT) processes to support data integration and data warehousing needs within the banking and finance sector. This role involves working closely with business analysts, data architects, and other technical teams to ensure data quality, integrity and availability for reporting and analytics purposes. The postholder ensures that data movement processes adhere to organisational standards and regulatory requirements.Job DutiesBuild mappings, transforms and loadsDevelop, test, and implement ETL/ELT workflows to extract data from multiple source systems and transform it according to business requirements.Maintain and optimise existing ETL/ELT processes to improve performance and reliability.Collaborate with data architects and analysts to design data models and ensure accurate data mapping and integration.Ensure data quality by performing validation, reconciliation, and error handling during data processing.Monitor ETL/ELT jobs and troubleshoot issues promptly to minimise downtime.Document ETL/ELT processes, standards, and best practises for reference and compliance purposes.Support data governance initiatives by adhering to data security and privacy policies.Participate in code reviews, testing phases, and deployment activities to ensure robust delivery.Stay up to date with developments in ETL/ELT tools and industry best practises, recommending improvements where appropriate.Required QualificationsInformatica/Datastage.dbt/Matillion., SQLStrong experience in ETL/ELT development within a banking or financial services environment.Proficiency in ETL tools such as Informatica, Talend, Microsoft SQL Server Integration Services or similar.Solid understanding of relational databases and SQL, including optimisation techniques.Experience with data warehousing concepts and dimensional modelling.Knowledge of data governance, data quality frameworks, and regulatory compliance requirements.Ability to write clear and maintainable technical documentation.Familiarity with scripting languages such as Python, Shell scripting or similar is advantageous.Strong analytical and problem-solving skills with meticulous attention to detail.EducationA degree in Computer Science, Information Technology, Data Science, or a related discipline is preferred.Relevant professional certifications in ETL tools or data management are advantageous.ExperienceA minimum of three to five
https://www.jobplacements.com/Jobs/E/ETLELT-Developer-1270399-Job-Search-3-10-2026-8-44-01-AM.asp?sid=gumtree
6d
Job Placements
1
This position is ideal for an analytically strong, commercially minded individual who enjoys solving complex problems and working closely with business stakeholders to embed insights into operational processes. The successful candidate will also play a key role in guiding Junior Analysts and elevating analytical capability across the team.Key Responsibilities: Develop, validate, and operationalise predictive models for defaults, collections, profitability, and forecastingTranslate business strategy into practical data-driven solutions with measurable impactDeliver and present customer analytics, including segmentation, behavioural insights, profitability, and telematics analysisWork closely with business stakeholders to embed insights into daily operationsDrive creative problem-solving using data to shape recommendations and influence decisionsTransform fragmented data sources into clear, actionable business insightsMentor Junior Analysts and lead the end-to-end delivery of insight initiativesJob Experience and Skills Required:Education:Degree in Data Science, Statistics, Mathematics, Computer Science, Economics or a related quantitative fieldExperience:58+ years in analytics, insights, or data science rolesProven experience building predictive models beyond standard credit risk modellingTrack record of transforming messy, multiâ??source datasets into business-ready insightsStrong background in customer analytics (segmentation, profitability, behaviour, and telematics)Experience partnering with stakeholders and embedding data insights into operationsExposure to strategic, innovation, or commercial projectsExperience mentoring or coaching junior team membersSkills:SQL: Advanced levelPower BI: Strong capability, including data modellingPython: Proficient for analytics and modellingStrong data storytelling and insight presentation skillsCommercial mindset with the ability to influence decisionsExcellent stakeholder management and communication abilitiesCreative problemâ??solving with a dataâ??first approachFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/S/Senior-Data--Predictive-Analytics-Specialist-1264990-Job-Search-02-23-2026-04-14-29-AM.asp?sid=gumtree
5d
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1
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Join a handsâ??on, collaborative team that genuinely enjoys the work. Our Client partners closely with the business, dive deep into their challenges, and design practical, highâ??impact solutions.Youll work with modern tools and platforms like SAS, Python, SQL, AWS, and SAS Viya, and build everything from exploratory analyses to full productionâ??ready models. With our Client you can expect variety, ownership and growth.Responsibilities:Build and deploy statistical + machine learning models using SAS, Python, and SQLDesign & implement AI-driven solutions for complex business challengesOwn the data pipeline: source, clean, prepare, explore, and analyseCrack logic problems and bring structure to unstructured challengesCreate visualizations and dashboards to tell stories with dataWork in modern environments using AWS and SAS ViyaRequirements: Honours / Masters / PhD in a quantitative fieldDeep understanding of statistics & modelling theory4 years of experience building & deploying ML/statistical modelsStrong dataâ??wrangling and preparation skillsExposure to cloud platforms (AWS) and SAS ViyaExperience with visualization tools (SAS Visual Analytics or similar)Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1271140-Job-Search-03-12-2026-04-14-24-AM.asp?sid=gumtree
4d
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You will be responsible for taking complex datasets, identifying the signals that matter, and converting them into actionable insights that influence strategy across the business. The ideal candidate not only understands data, but understands the business story behind it someone who can think critically, challenge assumptions, and shape solutions that make a measurable impact. This role is perfect for someone who thrives on solving complex problems, enjoys partnering with business stakeholders, and is energized by delivering advanced analytical insights that drive decisionâ??making. Nonâ??Negotiable Experience:Integrating data from multiple sources and identifying meaningful trendsDeveloping and implementing operationalized, scalable data solutionsStrong experience in predictive modelling and machineâ??learning approachesDeep customer analytics exposure, including:SegmentationProfitabilityBehavioural analyticsTelematics dataProven ability to translate analytics into measurable business outcomes Minimum Requirements:Qualifications:Degree in Mathematics, Statistics, Data Science, or a related quantitative fieldExperience:58+ years in analytics and insights, preferably within a commercially driven environmentTechnical Skills:Strong working knowledge of SQL and PythonExperience with data visualization tools (Power BI, Tableau, or similar) is advantageousComfort working with large, complex datasets and modern data environments Why This Role?:Youll join a forwardâ??thinking, highly collaborative, and dataâ??driven team where analytics is truly embedded in every strategic decision.Youll have the opportunity to:Build predictive models that directly influence operational and strategic outcomes;Lead analytical initiatives that impact core business performance;Work with stakeholders who value insightâ??driven thinking; andHelp shape the analytics culture and contribute to continuous improvement. If you enjoy complex problemâ??solving, building models that have real business impact, and shaping strategy through analytics, this is the perfect next step. Apply now!For more exciting Actuarial & Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/I/Insights-Analyst-1271493-Job-Search-03-13-2026-04-13-32-AM.asp?sid=gumtree
3d
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1
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QUALIFICATIONS AND EXPERIENCE: Matric/Grade 12. Diploma or Certificate in Supply Chain, Procurement, or Business Administration Minimum 2-5 years experience in procurement administration Manufacturing or engineering experience advantageous ERP system knowledge Strong Excel and reporting skills Vendor relationship management Understanding of procurement policies and controls Ability to work under pressure Strong communication and problem-solving ability Effective cross-functional collaboration with Engineering, Aftermarket and Production teams. Ability to work independently, prioritise tasks, and meet deadlines Ethical and transparent behaviour at all times. Must be able to follow structured processes and respect crossfunctional boundaries. Strong administrative and organisational skills High attention to detail and data accuracy Knowledge of procurement processes and controls Excel and ERP system proficiency Strong communication and coordination skillsDUTIES AND RESPONSIBILITIES: Create and maintain purchase orders in ERP systems Ensure purchase orders align with approved pricing and contracts Maintain and review supplier contracts, pricing agreements, and amendments Track contracts, agreements and SLA for expiry dates and manage renewals Ensure up-to-date pricing and all supplier data are captured in ERP systems Maintain supplier master data and all onboarding documentation Manage BBEEE certificates, tax clearance, and compliance records Prepare procurement reports and audit documentation Support buyers and pricing analysts with data and administration Ensure adherence to procurement policies and controls Always adhere to the Code of Ethics with all purchases. Identifying cost-saving opportunities through alternative sourcing and vendor innovation. ISO 9001 documentation discipline and B-BBEE procurement recognition. Accuracy of procurement and supplier data Contract and pricing data integrity Compliance with BBEEE and regulatory requirements Audit outcomes related to procurement documentation Integrity of all upkeeping of current and relevant information Always Assist Management and the Procurement Team with any ad hoc projects and requests.
https://www.jobplacements.com/Jobs/P/Procurement-Administrator-1259876-Job-Search-03-06-2026-00-00-00-AM.asp?sid=gumtree
10d
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1
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RequirementsAn appropriate post-graduate qualification (BSc, Engineering, or similar)Relevant programming qualifications and / or certificationsRelevant Agile certification is preferable10 - 12 years experience in a Data Engineering role building and optimizing data pipelines, architectures and data setsConstructing data acquisition, warehousing and reporting solutionsAdvanced working SQL knowledge and 5 years experience working with relational databases, query authoring (SQL)Experience with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, SAS).3 - 4 years experience building analytics tools that utilize the data pipeline to provide actionable insights into customer management, operational efficiency and other key business performance metrics.ResponsibilitiesDesign and implement data strategies and systems, to create and maintain the data architecture that will drive various initiatives across the organisationBuild infrastructure to automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges. Contribute to the design and architecture of innovative solutions to difficult problems.Work with team and stakeholders to continually assess and redefine data technology stack to support changing data patterns and business use cases and to bridge the gaps between Data teams and Business by constantly collaborating with all parties to understand data needs.Build the infrastructure with IT which is required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.Collaborate with IT to source and load a wide range of data across our business into the data lake so that it can be used by analysts and developers to develop data solutions for the business.Develop and enhance the data ingestion framework using specified toolsets and will need to understand and continuously seek techniques to ingest data, as well as ensure a high degree of quality and confidence.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Liaise between technical teams and specialists and business stakeholders, fostering inter-departmental coordination and cooperation.Data Governance (Quality, Accessibility, Ownership and Security). Engage with stakeholders to obtain an understanding of their data practices to contract, manage and meet expectations.Identify client data quality concerns, conducts root cause analysis and provides feedback to management.Become
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1202451-Job-Search-07-11-2025-04-37-22-AM.asp?sid=gumtree
8mo
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1
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Data Quality AnalystLocationJohannesburg Metro, Johannesburg, Johannesburg NorthJob TypeContract | Full-Time HoursPrimary IndustryBanking and FinanceSecondary IndustryInformation Technology and InternetJob DescriptionThe Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of organisational data within the banking and finance sector. This role involves analysing data quality issues, implementing data validation processes, and collaborating with various teams to maintain and improve data standards. The analyst supports decision-making processes by delivering high-quality data insights and ensuring compliance with regulatory requirements.Key ResponsibilitiesDefine/Enforce DQ Rules:scorecards and exception triage.Conduct regular data quality assessments to identify inaccuracies, inconsistencies, and anomalies across multiple data sources.Develop, implement, and maintain data quality control procedures, including data cleansing and validation techniques.Collaborate with data owners, business units, and IT teams to resolve data quality issues promptly.Monitor data quality metrics and produce comprehensive reports for management and stakeholders.Support data governance initiatives by enforcing data standards, policies, and compliance requirements.Assist in the design and deployment of data quality tools and systems to enhance data integrity.Perform root cause analysis of data quality problems and recommend corrective actions.Keep abreast of industry best practises and regulatory changes relevant to data management and quality assurance.Provide training and guidance to team members and business units on data quality principles and procedures.Required QualificationsProfessional qualification or certification in data management, data quality, or a related discipline is desirable.EducationA bachelors degree or equivalent qualification in Information Technology, Computer Science, Mathematics, Statistics, Finance, or a related field.ExperienceAt least three years experience in data analysis, data quality management, or a related role within the banking and finance sector or IT environment.Demonstrated experience in using data quality tools and software, such as data profiling, cleansing, and validation platforms.Experience working with large datasets and relational databases.Proven ability to identify data issues and implement effective solutions.Knowledge and SkillsDQ frameworks, SQLStrong analytical skills with attention to detail and accuracy.Good understanding of data governance principles and regulatory requirements relevant to banking and finance.Familiarity with data man
https://www.jobplacements.com/Jobs/D/Data-Quality-Analyst-1270411-Job-Search-3-10-2026-9-13-00-AM.asp?sid=gumtree
6d
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1
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What you will be doing: Collaborate with analysts, developers, architects, and business stakeholders to understand data needs and deliver technical solutions.Design, build, and maintain data pipelines and integrations using AWS services such as S3, Glue, Lambda, and Redshift.Develop and manage data lakes and data warehouses on AWS.Support and maintain production and non-production data environments.Optimize data storage and query performance through schema design and efficient data processing.Implement CI/CD practices for data infrastructure, including monitoring, logging, and alerting.Ensure data quality, security, and governance across all stages of the data lifecycle.Document data models, pipelines, and architecture for internal use and knowledge sharing.Stay current with AWS data services and best practices.Contribute to a culture of continuous improvement and knowledge sharing within the team What we are looking for:Completed Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience).5 - 7 years of experience in data engineering.3 years of hands-on experience with AWS, including:S3, Glue, Spark, Athena, Redshift, RDS, Lambda, Lake FormationStrong SQL skills and experience with relational databases (e.g., PostgreSQL, Oracle, RDS).Proficiency in Python or Scala for data processing.Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).Understanding of data governance, security, and compliance in cloud environments.Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1201107-Job-Search-07-08-2025-04-16-07-AM.asp?sid=gumtree
8mo
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1
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Minimum RequirementsCertificate, Higher Certificate, Diploma or Degree in accounting or finance essential 3-5 years relevant experience working in accounting and bookkeepingThorough understanding of GAAP/IFRs Extensive experience creating and managing spreadsheets Demonstrated critical thinking and analytical abilitiesExperience with accounts payable, accounts receivable, and general ledgerSoftware Knowledge : Pastel Accounting and MIP would be an advantage Excellent business judgment, analytical, and decision-making skillsDuties will include Transaction Recording : Record invoices, payments, receipts and other financial entries to maintain accurate financial records.Accounts Management: Manage accounts payable and accounts receivable, ensuring timely processing and accuracy. Bank ReconciliationRegularly compare internal financial records against bank statements to identify and resolve discrepancies. (Capture bank statements and do reconciliations on accounting software).Month end and Year End processes. Financial Reporting: Preparing financial reports and statements by providing accurate data and supporting documentation. Analysing and Report on financial dataData Entry : Enter daily transactions into accounting software and maintain the general ledger system to ensure all financial data is up to date.Filing and Documentation : Organize and maintain both digital and physical financial records for easy retrieval and compliance with regulations.Address financial queries from customers, suppliers and other departments effectively, ensuring clear communication regarding payment and account statuses. Online banking
https://www.jobplacements.com/Jobs/A/Assistant-Accountant-Bookkeeper-1201315-Job-Search-07-08-2025-10-24-45-AM.asp?sid=gumtree
8mo
Job Placements
1
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What you will be doing:Design, develop, and implement scalable data warehouse solutions.Develop, maintain, and optimize ETL/ELT processes for efficient data extraction, transformation, and loading.Build and enhance Power BI solutions from high-level technical and business requirements.Perform quality assurance checks and ensure data accuracy and integrity.Configure real-time data replication using tools such as Stelo SQDR.Provide operational support, troubleshoot errors, and resolve data queries.Work with technical stakeholders to identify data sources, understand metadata, and define solutions.Promote data governance principles, data quality standards, and best practices.Convert legacy Excel reports into Power BI dashboards.Design professional reports, dashboards, and visualisations.Test, debug, and reconcile data against source systems.Communicate progress and present insights in easily understandable formats.Identify opportunities for improvement and provide analytical observations.Collaborate with business analysts, data scientists, and other stakeholders on data requirements.Monitor and optimise data warehouse performance.Implement data governance, security, and compliance standards.Provide mentorship and guidance to junior team members.What we are looking for:5+ yearsâ?? experience as a Data Warehouse Developer or related role.3-year degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.Strong SQL skills with experience in relational and non-relational databases.Experience with ETL/ELT tools (SSIS, Data Factory, Informatica, Talend, etc.).Solid understanding of data warehousing methodologies (Kimball, Inmon).Experience with data modelling (dimensional modelling, star and snowflake schemas).Experience with Power BI or similar visualisation tools.Familiarity with cloud data platforms (Azure Synapse, AWS Redshift, BigQuery) is advantageous.Experience working with SQL Server 2022 and MS T-SQL.Experience with data extraction, data analysis, data reconciliation, and data visualisation.Exposure to data replication tools (Stelo SQDR, Qlik Replicate, etc.).Knowledge of the software development lifecycle.Strong communication, analytical thinking, report writing, problem-solving, and time-management skills.Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
https://www.executiveplacements.com/Jobs/S/Senior-Data-Warehouse-Developer-1242269-Job-Search-03-11-2026-00-00-00-AM.asp?sid=gumtree
5d
Executive Placements
1
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You will be responsible for taking complex datasets, identifying the signals that matter, and converting them into actionable insights that influence strategy across the business. The ideal candidate not only understands data, but understands the business story behind it someone who can think critically, challenge assumptions, and shape solutions that make a measurable impact. This role is perfect for someone who thrives on solving complex problems, enjoys partnering with business stakeholders, and is energized by delivering advanced analytical insights that drive decisionâ??making. Nonâ??Negotiable Experience:Integrating data from multiple sources and identifying meaningful trendsDeveloping and implementing operationalized, scalable data solutionsStrong experience in predictive modelling and machineâ??learning approachesDeep customer analytics exposure, including:SegmentationProfitabilityBehavioural analyticsTelematics dataProven ability to translate analytics into measurable business outcomes Minimum Requirements:Qualifications:Degree in Mathematics, Statistics, Data Science, or a related quantitative fieldExperience:58+ years in analytics and insights, preferably within a commercially driven environmentTechnical Skills:Strong working knowledge of SQL and PythonExperience with data visualization tools (Power BI, Tableau, or similar) is advantageousComfort working with large, complex datasets and modern data environments Why This Role?:Youll join a forwardâ??thinking, highly collaborative, and dataâ??driven team where analytics is truly embedded in every strategic decision.Youll have the opportunity to:Build predictive models that directly influence operational and strategic outcomes;Lead analytical initiatives that impact core business performance;Work with stakeholders who value insightâ??driven thinking; andHelp shape the analytics culture and contribute to continuous improvement. If you enjoy complex problemâ??solving, building models that have real business impact, and shaping strategy through analytics, this is the perfect next step. Apply Now: If youre looking for a role where your analytics skills will be stretched, sharpened, and celebrated, this is it. Apply now! For more exciting Finance & Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/I/Insights-Analyst-1265954-Job-Search-02-25-2026-00-00-00-AM.asp?sid=gumtree
8d
Executive Placements
1
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Job Purpose:Responsible for creating and managing the technological part of data infrastructure in every step of data flow. From configuring data sources to integrating analytical tools all these systems would be architected, built and managed by a general-role Data Engineer.Minimum education (essential):Bachelors degree in Computer Science or Engineering (or similar)Minimum education (desirable):Honors degree in Computer Science or Engineering (or similar)AWS Certified Data Engineer; or AWS Certified Solutions Architect; or AWS Certified Data AnalystMinimum applicable experience (years):5+ years working experienceRequired nature of experience:Data Engineering developmentExperience with AWS services used for data warehousing, computing and transformations i.e. AWS Glue (crawlers, jobs, triggers, and catalog), AWS S3, AWS Lambda, AWS Step Functions, AWS Athena and AWS CloudWatchExperience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB)Experience with SQL for querying and transformation of data Skills and Knowledge (essential):Strong skills in Python (especially PySpark for AWS Glue)Strong knowledge of data modelling, schema design and database optimizationProficiency with AWS and infrastructure as codehttps://www.executiveplacements.com/Jobs/A/AWS-Data-Engineer-1170505-Job-Search-03-12-2026-00-00-00-AM.asp?sid=gumtree
4d
Executive Placements
1
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You will be responsible for taking complex datasets, identifying the signals that matter, and converting them into actionable insights that influence strategy across the business. The ideal candidate not only understands data, but understands the business story behind it someone who can think critically, challenge assumptions, and shape solutions that make a measurable impact. This role is perfect for someone who thrives on solving complex problems, enjoys partnering with business stakeholders, and is energized by delivering advanced analytical insights that drive decisionâ??making. Nonâ??Negotiable Experience:Integrating data from multiple sources and identifying meaningful trendsDeveloping and implementing operationalized, scalable data solutionsStrong experience in predictive modelling and machineâ??learning approachesDeep customer analytics exposure, including:SegmentationProfitabilityBehavioral analyticsTelematics dataProven ability to translate analytics into measurable business outcomes Minimum Requirements:Qualifications:Degree in Mathematics, Statistics, Data Science, or a related quantitative fieldExperience:58+ years in analytics and insights, preferably within a commercially driven environmentTechnical Skills:Strong working knowledge of SQL and PythonExperience with data visualization tools (Power BI, Tableau, or similar) is advantageousComfort working with large, complex datasets and modern data environments Why This Role?: Youll join a forwardâ??thinking, highly collaborative, and dataâ??driven team where analytics is truly embedded in every strategic decision.Youll have the opportunity to:Build predictive models that directly influence operational and strategic outcomesLead analytical initiatives that impact core business performanceWork with stakeholders who value insightâ??driven thinkingHelp shape the analytics culture and contribute to continuous improvement If you enjoy complex problemâ??solving, building models that have real business impact, and shaping strategy through analytics, this is the perfect next step. Apply Now: If youre looking for a role where your analytics skills will be stretched, sharpened, and celebratedthis is it. Apply now! For more exciting Finance & Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/I/Insights-Analyst-1264490-Job-Search-02-20-2026-00-00-00-AM.asp?sid=gumtree
8d
Executive Placements
1
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Education:Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related fieldMasters Degree in a Data Science, AI/ML, Statistical or related field (preferred)MBA or Masters (advantageous)Experience:5 or more years of relevant work experience as a Data Engineer/ Data Scientist46+ years applied data science; 2+ years owning production AI/ML.At least 3 years experience within a non-traditional FinTech, Banking or Financial Services SectorExperience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industryProven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact.Experience in Data Engineering within banking or financial services industryUnderstanding of enterprise-scale systems and technologies used in data infrastructuresExperience of working in an Agile/DevOps environmentGitHub or GitLab experience for CI/CDConsistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositoriesProficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analyticsWorking knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)Demonstrated experience utilizing software tools to query and report data and being software agnosticHighly proficient in database management systems like Postgres, Oracle, Mongo, MSSQLExperience in data analysis and management, business performance management and/or reporting within the financial sector or banking industryExperience working in a medium to large organizationExperience in ecommerce and electronic payment business is advantageousExperience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges
https://www.jobplacements.com/Jobs/M/Manager-Data-Science-1271726-Job-Search-03-13-2026-10-31-29-AM.asp?sid=gumtree
2d
Job Placements
1
Join a dynamic, dataâ??driven organisation where analytics and optimisation power key business decisions across insurance and automotive operations. You will play a critical role in transforming complex data into meaningful insights that influence pricing, claims, operations, and strategic initiatives.This position is ideal for a motivated graduate or junior analyst with a strong actuarial foundation and an appetite for handsâ??on analytics. You will gain exposure to pricing studies, operational investigations, dashboard development, market research, and endâ??toâ??end portfolio insights.Why Work Here?:Exceptional analytical exposure across multiple insurance functionsGrowth environment with handsâ??on learning and mentorshipOpportunity to build technical models and dashboards from scratchA role that blends actuarial science, analytics, and business insightA chance to make measurable impact early in your careerWhats In It For You?:Skill development, crossâ??functional exposure, strong mentorship, and the opportunity to shape commercial and technical decisions through analytics.Key Responsibilities:Analyse insurance portfolio trends including claims, premiums, risk mix, cancellations, and sales behaviour.Build dashboards and MI reports using Power BI, SQL, and Excel.Validate actuarial and business data used for reporting and decision-making.Support identification of operational inefficiencies using analytics.Build and maintain data models for forecasting and operational reporting.Investigate anomalies and unexpected trends, including rootâ??cause analysis.Conduct trend investigations (e.g., hijacking, fire/theft, frequency).Collaborate with IT and data engineering teams to enhance data quality.Assist with automation and improvement of reporting processes.Monitor KPIs across underwriting, pricing, claims, and operations.Prepare insight summaries and presentations for management.Assist the actuarial team with data extraction, cleaning, and reconciliation.Document data flows, business rules, and processes for audit purposes.Support basic pricing experience studies (frequency and severity).Assist with reserving data preparation and triangulation checks.Provide analytical support for strategic and operational projects.Integrate new data sources into reporting frameworks.Conduct competitor benchmarking and market research.Assist with business cases for new initiatives or enhancements.Monitor economic, regulatory, and industry trends impacting the portfolio.Build models supporting parts sourcing, cost efficiency, and supplier performance.Develop vehicle assessment models for pricing, sales channels, and refurbishment decisions.https://www.executiveplacements.com/Jobs/A/Actuarial-Analyst--Business-Optimization-1263488-Job-Search-02-18-2026-00-00-00-AM.asp?sid=gumtree
8d
Executive Placements
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Education4-year Business Mathematics, Statistics, Data Science (or related) DegreeMasters in business administration is advantageousExperienceA minimum of 5 years experience in Financial services, consulting, strategy, analytics, engineering, or related industry2 - 3 years of experience in data structuration, data management, analytics, big data, and a similar environmentMinimum of 1 -2 years experience in an area of Data Science, at a specialist level within the financial /banking industry or telecommunications industryExperience working in a medium to large organizationExperience of working in an Agile/DevOps environmentProficiency in working with Python (Numpy, Scikit-learn, Pandas, Scipy, Matplotlib, Tensorflow, Keras, Seaborn, Bokeh), SAS or R / Scala for data clean up and advanced data analyticsWorking knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)Demonstrated experience utilizing software tools to query and report data: SAS (Enterprise Guide and/or programming), tableau, Power BI,D3 VBA, SQL, and Business ObjectsHighly proficient in database management systems like Postgres, Oracle, Mongo, MSSQLExperience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challengesDemonstrated experience utlilizing cloud technologies such as Azure
https://www.executiveplacements.com/Jobs/M/Manager-Data-Analytics-1271727-Job-Search-03-13-2026-10-31-29-AM.asp?sid=gumtree
2d
Executive Placements
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Duties & Responsibilities:Develop and maintain robust data pipelinesDesign scalable architectures for structured and unstructured dataEnsure data quality, security, and availabilityCollaborate with BI, Data Science and Engineering teamsQualifications & Experience:Degree in Computer Science, Information Systems, or related fieldProficiency in SQL, Python, Spark, and ETL toolsExperience with cloud data platforms (BigQuery, Redshift, Snowflake)Familiarity with orchestration tools (Airflow, DBT) a plusRoles may be remote or on-site depending on client location and project scope.
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1202485-Job-Search-07-11-2025-10-01-11-AM.asp?sid=gumtree
8mo
Executive Placements
1
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JOB SPECIFICATION:The principal objective of this role is to support the Africa Team and wider business stakeholders to analyse data and provide timely reporting to the business and the client in relation to operational efficiency and drawing out key strategic insights to enabledecision-making. Utilising Power BI capability to convert data into user friendly dashboards and information.QUALIFICATIONS:Educated to degree level or equivalent.Desirable: BA or MS in Computer Science or Information SystemsDesirable: Business Analyst diploma, BABOK Certification, Agile Certification:Business Analyst experience(Advantageous)EXPERIENCE:Minimum of 1 to 2 years of experience in a related field i.e. data visualization and analytics, working with businesses to shape and implement their BI strategies, improve operational functions, efficiencies and ultimate performanceIntegration and consolidation of data from multiple data sources.Data warehousing and data modelling.Internal and external stakeholder management enabling delivery of business objectives
https://www.jobplacements.com/Jobs/J/Junior-Data-Analyst-Remote-1271881-Job-Search-3-16-2026-3-16-05-AM.asp?sid=gumtree
12h
Job Placements
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Qualifications & Requirements:Minimum 5 years in data analysis or BI reporting rolesStrong SQL & DAX skills (Power BI)Experience designing semantic models and dashboards in Power BIDeep knowledge of normalized/star-schema databasesProficiency in advanced Excel (Pivot Tables, Power Query, and data reconciliation)Familiarity with modern data environments (data lakes, CI/CD, and data warehousing Microsoft Fabric is a bonus)Business rule documentation and data validation expertiseKey Performance Areas (KPAs):Maintain and improve existing reports/dashboardsConvert business needs into technical report specsLead data validation across different layers (bronze, silver, and gold)Build and manage Power BI semantic models (including embedded models)Implement data security (e.g., row-level security)Collaborate with Engineers for robust pipelines and data qualityProvide UAT support and end-user trainingCreate exception and trend-based reports that tell a clear storyApply now!
https://www.executiveplacements.com/Jobs/S/Senior-Data-Analyst-1194971-Job-Search-06-17-2025-00-00-00-AM.asp?sid=gumtree
8mo
Executive Placements
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