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Results for data science in "data science" in Jobs in Gauteng in Gauteng
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This opportunity is ideal for someone with 4+ years of hands-on data science experience who enjoys working deeply on machine learning, statistical modelling, and scalable data solutions. The role is highly technical and suited to someone who thrives in environments where complex data challenges meet real-world business impact.You will work across the full data science lifecycle from data exploration and feature engineering to model development, deployment, and optimisation while leveraging modern technologies such as AWS, SAS Viya, Python, and SQL.Key Responsibilities: Manage end-to-end data science workflows, including data extraction, cleaning, feature engineering, modelling, and deploymentDevelop and implement advanced machine learning and statistical models to solve complex business problemsDesign and build AI-driven solutions that improve business performance and decision-makingTranslate complex or unstructured business challenges into scalable analytical frameworksWork within cloud environments (AWS) and modern analytics platforms, such as SAS ViyaBuild data visualisations and dashboards to communicate insights effectivelyCollaborate with business stakeholders to ensure that solutions address key strategic objectivesPresent technical findings and recommendations clearly to both technical and non-technical audiencesJob Experience and Skills Required:Education:Degree in a quantitative discipline such as Data Science, Statistics, Applied Mathematics, Computer Science, or similarStrong foundation in statistical modelling and machine learning theoryExperience:4+ years of practical, hands-on data science experienceStrong experience building machine learning models in production environmentsAdvanced experience with Python, SAS, and SQLExperience working with large datasets and complex data pipelinesExposure to cloud platforms, preferably AWSExperience using data visualisation tools to present insightsSkills:Strong technical and analytical problem-solving abilityAbility to design, build, and deploy complex data science solutions independentlyExcellent data storytelling and communication skillsNaturally curious with a passion for experimentation and innovationComfortable working with both technical teams and business stakeholdersThrives in fast-paced, data-driven environmentsFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1271127-Job-Search-03-12-2026-00-00-00-AM.asp?sid=gumtree
8h
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The role focuses on unlocking business value through advanced analytics and the intelligent use of data. You will develop machine learning models, analytical frameworks, and automated reporting tools to support decisionâ??making across portfolios, products, and clients.Working closely with internal stakeholders, youll translate complex datasets into clear, actionable insights and contribute to the development of modern analytics platforms in a fastâ??paced, collaborative environment.Key Responsibilities:Develop predictive, statistical, and machine learning models to support forecasting, segmentation, and risk analysis.Analyse large and complex datasets to identify trends, patterns, and opportunities.Translate analytical outputs into practical business insights for both technical and nonâ??technical stakeholders.Support portfolio and client analytics by evaluating performance and identifying improvement opportunities.Build automated reporting and analytics solutions to improve efficiency and scalability.Identify opportunities to automate manual analytical or reporting processes.Extract, transform, and analyse data using advanced SQL and Python.Contribute to dashboards, internal analytics tools, and cloudâ??based data platforms.Requirements:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field. (Postgraduate qualification is advantageous.)36 years experience in data science, analytics, or data engineering, preferably within financial services or a commercial environment.Strong experience working with large datasets using SQL and Python.Proficiency in Power BI for dashboard development and reporting.Experience applying machine learning techniques is advantageous.Exposure to modern data platforms such as Databricks, Synapse, or similar cloud environments is beneficial.Strong communication skills with the ability to present insights clearly and confidently.Why Consider This Role?:This is an opportunity to work in a dataâ??driven environment where analytics plays a key role in shaping strategy, improving performance, and delivering meaningful insights to stakeholders and clients.Apply now! For more exciting Actuarial & Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276712-Job-Search-03-31-2026-04-14-57-AM.asp?sid=gumtree
8h
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The role focuses on unlocking business value through advanced analytics and intelligent use of data. You will develop machine learning models, analytical frameworks, and automated reporting tools to support decisionâ??making across portfolios, products, and clients.Working closely with internal stakeholders, youll translate complex datasets into clear, actionable insights and contribute to the development of modern analytics platforms in a fastâ??paced, collaborative environment.Key Responsibilities:Develop predictive, statistical, and machine learning models to support forecasting, segmentation, and risk analysis.Analyse large and complex datasets to identify trends, patterns, and opportunities.Translate analytical outputs into practical business insights for both technical and nonâ??technical stakeholders.Support portfolio and client analytics by evaluating performance and identifying improvement opportunities.Build automated reporting and analytics solutions to improve efficiency and scalability.Identify opportunities to automate manual analytical or reporting processes.Extract, transform, and analyse data using advanced SQL and Python.Contribute to dashboards, internal analytics tools, and cloudâ??based data platforms.Requirements:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field.(Postgraduate qualification is advantageous.)36 years experience in data science, analytics, or data engineering, preferably within financial services or a commercial environment.Strong experience working with large datasets using SQL and Python.Proficiency in Power BI for dashboard development and reporting.Experience applying machine learning techniques is advantageous.Exposure to modern data platforms such as Databricks, Synapse, or similar cloud environments is beneficial.Strong communication skills with the ability to present insights clearly and confidently.Why Consider This Role:This is an opportunity to work in a dataâ??driven environment where analytics plays a key role in shaping strategy, improving performance, and delivering meaningful insights to stakeholders and clients.Apply now! For more exciting Actuarial & Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276572-Job-Search-03-30-2026-10-18-32-AM.asp?sid=gumtree
8h
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You will play a key role in developing advanced analytics capabilities across a diverse portfolio of products and clients. The position focuses on leveraging data to drive strategic decision-making, enhance performance, and unlock new opportunities through predictive modelling and intelligent automation. Working closely with both internal stakeholders and external partners, you will translate complex datasets into actionable insights while contributing to the evolution of a modern data ecosystem.Key Responsibilities: Build and deploy predictive models and machine learning solutionsAnalyse large datasets to generate actionable business insightsSupport client and portfolio analytics, including performance tracking and benchmarkingDevelop automated reporting tools and scalable analytics solutionsWork with SQL and Python to extract, transform, and analyse dataCollaborate with stakeholders to identify and deliver on analytics opportunitiesJob Experience and Skills Required:Education:Degree in a quantitative field (e.g. Data Science, Mathematics, Statistics, Computer Science, Actuarial Science, or similar)Experience:36 years experience in data science, analytics, or data engineering within a commercial environmentStrong experience working with large datasets and delivering data-driven insightsProven ability to communicate complex findings to a range of stakeholdersSkills:Advanced SQL (essential)Strong Python skills for data analysis, automation, and modellingExperience with business intelligence tools (e.g. Power BI or similar)Exposure to cloud-based analytics platforms (e.g. Databricks, Synapse, or equivalent) advantageousFamiliarity with version control tools (e.g. Git) beneficialFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1275711-Job-Search-03-26-2026-10-15-37-AM.asp?sid=gumtree
8h
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This role focuses on unlocking business value through data by building predictive models, designing analytical frameworks, and delivering automated reporting solutions that enable informed decision-making across the business. The environment is fast-paced, collaborative, and focused on solving complex problems through innovative analytics. You will work closely with internal stakeholders and clients to identify opportunities, solve complex business challenges, and translate large datasets into clear, actionable insights.Key Responsibilities: Develop predictive and machine learning models to support forecasting, segmentation, and risk analysisAnalyse large datasets to generate actionable insights and support decision-makingPartner with stakeholders to identify analytics opportunities and solve business problemsSupport client and portfolio analytics, including performance tracking and benchmarkingBuild automated dashboards, reporting solutions, and reusable data toolsExtract, transform, and analyse data using SQL and Python within modern data platformsPresent insights to both technical and non-technical stakeholdersJob Experience and Skills Required:Education:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative fieldExperience:36 years experience in data science, data analytics, or data engineering within a commercial or financial services environmentStrong experience working with large datasets using SQL and PythonExperience with Power BI for reporting and dashboardsProven ability to deliver insights to both technical and non-technical stakeholdersExperience with machine learning techniques advantageousSkills:Advanced SQL (essential)Strong Python programming for data analysis and automationPower BI (including DAX)Experience with cloud or modern data platforms (e.g. Databricks, Synapse or similar)Familiarity with Git or version control tools beneficialFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276573-Job-Search-03-30-2026-10-18-32-AM.asp?sid=gumtree
8h
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This well-established financial services group supports individuals and organisations in achieving long-term financial security, growth, and protection. The business operates across multiple specialist areas and is deeply invested in innovation, analytics, and compliance-driven decision-making.Why Join This Opportunity?:Work in a data-led organisation where insights directly influence strategy and outcomesExposure to large, complex data environments and senior stakeholdersOpportunity to play a pivotal role in shaping analytics capability and data maturityA collaborative environment that values innovation, growth, and expertiseWhats in it for you? A chance to work at the intersection of advanced analytics, business strategy, and regulatory compliance while building solutions that create real value across the organisation.Key Responsibilities:Analyse complex datasets to identify actionable insights supporting strategic business decisionsDesign, develop, and optimise data models, reporting frameworks, and analytics solutionsBuild and maintain statistical and analytical models to support risk identification and cost optimisationCollaborate with senior stakeholders to translate business requirements into data-driven solutionsEnsure data quality, governance, and compliance through testing, documentation, and monitoringJob Experience and Skills Required:Education:Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, or a related fieldA Masters degree in a relevant quantitative discipline is advantageousExperience:Proven experience in data analytics, data science, or business intelligenceExperience within regulated environments such as financial services, insurance, or healthcare is advantageousExposure to stakeholder engagement and translating business needs into analytical outputsSkills:Advanced SQLPythonBusiness intelligence and visualisation tools (Power BI, QlikView, Cognos, and Tableau)Non-negotiables:Strong analytical and problem-solving capabilityAbility to communicate technical insights clearly to non-technical stakeholdersApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/S/Senior-Data-Analyst-1277426-Job-Search-04-01-2026-00-00-00-AM.asp?sid=gumtree
8h
Executive Placements
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Key Responsibilities: The MissionCollect, clean, and manage diverse financial datasetsAnalyse large data sets to spot anomalies and trendsBuild dashboards and reports that drive smarter decisionsPartner with finance, IT, and crossâ??functional teams to deliver dataâ??driven solutionsContinuously improve processes and stay ahead of industry trends Key Requirements and Skills: What You Bring to the TableBachelors degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field35 years of experience in financial data analysisProficiency in SQL, Python, R, and advanced ExcelSkilled in visualization tools (Tableau, Power BI, etc.)Strong analytical mindset with excellent communication skills. What our client offers:Competitive salary and retirement planProfessional development opportunitiesA dynamic, collaborative environment where your insights shape financial strategy If you have a knack for spotting patterns others miss and the SQL skills to back it up, join a team where data drives decisions. Apply now!
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1274144-Job-Search-03-22-2026-04-14-39-AM.asp?sid=gumtree
12d
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This is an ideal opportunity for self-starters who thrive in fast-paced environments, enjoy solving complex problems, and are passionate about leveraging data science to drive real impact.Key Responsibilities:Own and contribute across the full data lifecycle from data modelling, and analysis, to visualisationDesign, build, and optimise data models to support business insights and strategic decision-makingWrite efficient and scalable SQL queries to work with large, complex datasetsDevelop analytical solutions and workflows using PythonBuild impactful, user-friendly dashboards and reports using Power BIEngage with stakeholders across the business to understand requirements and solve data-related challengesTranslate complex datasets into clear, actionable insightsContinuously improve data processes, pipelines, and methodologiesRequirements:Minimum 3+ years of experience in a Data Specialist / Data Analyst / similar roleStrong hands-on experience with SQL, Python, and data modellingProven experience working across the full data lifecycleExperience building dashboards and visualisations using Power BISolid understanding of data warehousing concepts and ETL processesStrong analytical thinking and problem-solving skillsAbility to work independently and take ownership of projectsWhat Were Looking For:Self-starters who take initiative and go above and beyondIndividuals who are curious, proactive, and eager to learnA genuine passion for data science and solving real-world business problemsComfortable working in an environment with minimal micromanagementStrong communicators who can engage with both technical and non-technical stakeholdersWhy Join?Multiple opportunities within a growing, data-driven teamHigh-impact roles with broad exposure across the businessWork on meaningful, complex data challengesA collaborative environment that values initiative, ownership, and innovationOpportunity to help take the business to the next level through dataFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/D/Data-Specialist-1273557-Job-Search-03-19-2026-10-15-07-AM.asp?sid=gumtree
8h
Executive Placements
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The OpportunityWe have an exciting opportunity for a top-performing Data Analyst to join our team. In this role, you will leverage data to drive strategic business decisions and gain practical experience with cutting-edge data practices. This is a chance to grow your skills while contributing to projects that matter.What Youll Do (Key Responsibilities)Analysis & Reporting:Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform business strategy.Develop, maintain, and enhance interactive dashboards, reports, and data visualizations to communicate findings to stakeholders effectively.Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.Work closely with developer teams to support data integration and automation processes.Utilize Azure cloud services for efficient data storage, processing, and analysis.Employ statistical tools and programming languages like R and Python to conduct complex analyses.Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.Assist in the development and implementation of predictive models and algorithms.Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences.Ensure all data practices comply with company policies and industry standards for security and integrity.A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field.Strong programming proficiency in Python and R.A solid understanding of basic data analysis techniques and statistical methodologies.Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way.Previous internship or project experience in data analysis or a related technical field.Familiarity with cloud services, specifically Azure.Experience with data visualization tools (e.g., Power BI, Tableau).A foundational understanding of machine learning concepts and algorithms.Technical Collaboration:Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.Work closely with developer teams to support data integration and automation processes.Utilize Azure cloud services for efficient data storage, processing, and analysis.Employ statistical tools and programming languages like R and Python to conduct complex analyses.Strategy & Communication:Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.https://www.jobplacements.com/Jobs/D/Data-Analyst-1276850-Job-Search-3-31-2026-9-39-26-AM.asp?sid=gumtree
3d
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What you will be doing:Perform deep-dive analysis across diverse datasets to identify trends, anomalies, and business opportunitiesTranslate business and project requirements into actionable data solutions and insightsManage and deliver multiple ad hoc reporting requests with accuracy and relevanceDesign and maintain scalable data models to support analytics and reportingUnderstand and manage end-to-end data flows, from source systems to reporting layersDevelop and optimise data pipelines and integrations using modern development practicesWork with enterprise databases including IBM DB2, Oracle, Netezza, and SQL Server to extract, transform, and analyse dataCollaborate with stakeholders to define technical specifications and reporting frameworksCreate dashboards and reports using Power BI and advanced MS Excel techniquesSupport AI/ML initiatives by preparing data and contributing to model development and deploymentApply strong analytical thinking to solve complex business problems and generate insightsDocument data logic, methodologies, and findings for both technical and non-technical audiencesManage workload independently, ensuring timely delivery of high-quality outputsCommunicate insights and technical concepts clearly to business stakeholdersWhat we are looking for:Relevant degree in Computer Science, Data Science, Engineering, or a related field8+ years experience in data analytics, software development, and systems architectureStrong proficiency in SQL, Python, and/or RExtensive experience working with enterprise databases (DB2, Oracle, Netezza, SQL Server)Solid understanding of data modelling, ETL processes, and system design principlesExperience working with cloud platforms such as Azure, AWS, or GCPFamiliarity with AI/ML concepts, model lifecycle, and data preparationAdvanced skills in MS Excel (pivot tables, formulas, macros)Experience with Power BI for data visualisation and reportingExposure to tools such as Tableau or similar is advantageousStrong analytical and problem-solving skillsAbility to work independently and manage multiple prioritiesExcellent communication skills with the ability to bridge technical and business teamsPlease note if you do not hear from us within 3 weeks, please consider your application unsuccessful.Follow for the Latest VacanciesJoin Psybergate Careers Channel here:
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1276414-Job-Search-03-30-2026-04-18-36-AM.asp?sid=gumtree
4d
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Key Responsibilities: What youll doExplore and prepare structured & unstructured financial dataSupport machine learning model development and anomaly detectionBuild reports and dashboards (Power BI) to share insightsCollaborate with analysts, engineers, and business teams to deliver actionable solutionsContribute to automation tools that streamline operationsKey Requirements & Skills: What were looking for:Bachelors degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field02 years of experience in data analysis or data science (finance industry exposure a plus)Proficiency in Python (pandas, matplotlib, scikit-learn)Familiarity with SQL, Power BI, and ExcelStrong analytical mindset with excellent communication skillsWhats in it for youReal-World Impact: Your work helps protect assets and optimize investments.Mentorship: Work alongside seasoned pros who want to see you grow.Career Growth: Professional development and keeping your skills sharp.The Perks: Competitive salary, retirement plan, and a dynamic office culture.If youre obsessed with Python, love a clean dataset, and want to see your code make a real-world impact, this is your launchpad.Apply now!
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist-1274145-Job-Search-03-22-2026-04-14-39-AM.asp?sid=gumtree
12d
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What youll do:Extract, clean, and analyze data using SQL and other toolsDevelop and maintain interactive dashboards and reports in Power BITranslate business requirements into actionable insightsSupport the implementation and maintenance of MDM processesEnsure consistency and integrity of key data domains (customer, product, vendor)Assist in defining and implementing data quality rules and metricsMonitor and report on data quality issues and support remediation effortsCollaborate with IT and business teams to integrate data from multiple sourcesSupport ETL processes and ensure seamless data flow across systemsDocument data definitions, processes, and workflowsWork with stakeholders to understand data needs and provide analytical supportQualifications (Required) - Degrees and Certifications:Bachelors degree in Data Science, Computer Science, Information Systems, or related field1+ years of experience in a data analyst or similar roleProficiency in SQL for data querying and manipulationExperience with Power BI for dashboard creation and data visualizationUnderstanding of Master Data Management principles and toolsFamiliarity with Data Quality (DQ) rule implementation and monitoringExperience with data integration and ETL processesStrong analytical and problem-solving skillsExcellent communication and documentation abilitiesQualifications (Advantageous):Certification in Power BI or SQLExperience with Python for data analysisKnowledge of data governance frameworksExposure to cloud platforms (e.g., Azure, AWS) and data lakesSkills/keywords:SQL, Python, PostgreSQL, Data Engineering, ETL/ELT, Data Warehousing, Synapse, Power BI, DataOps, Docker/Kubernetes, Kafka, API Integration, Data Governance, MDM, POPIA
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1274360-Job-Search-03-23-2026-04-33-40-AM.asp?sid=gumtree
11d
Executive Placements
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The Data Scientist will work within the Data Science and Analytics team to deliver data-driven insights, predictive models, and automated solutions that address complex business challenges. The role requires strong expertise across the full data science lifecycle, including business understanding, data exploration, feature engineering, model development, validation, and deployment into production environments. By leveraging advanced analytics and machine learning, the Data Scientist will contribute to strategic decision-making, process optimisation, and innovation across the organisation. Key ResponsibilitiesResearch and test innovative data science techniques that can be utilised in predictive and prescriptive analytics solutions.Stay informed on emerging data science trends, technologies, and applications relevant to industry advancements.Collaborate with business stakeholders to identify problems/opportunities, elicit requirements, and define expected outcomes.Partner with stakeholders to design and propose data-driven approaches that address business needs and support new strategies.Develop conceptual models and solutions to meet business requirements.Work with subject matter experts and data engineers to identify, obtain, and prepare relevant data sources.Perform preprocessing of structured and unstructured data, including manipulation, transformation, normalisation, standardisation, visualisation, and feature engineering.Apply appropriate data mining, statistical, and machine learning techniques to solve business problems.Implement predictive and prescriptive models on large-scale datasets, including distributed computing platforms (e.g. Spark).Validate and test models using methods such as back-testing, A/B testing, and scenario modelling.Monitor, refine, and maintain models to ensure continued accuracy, relevance, and business value.Profile, visualise, and interpret data to inform modelling approaches and provide actionable insights.Review existing models and code, ensuring quality and identifying improvements.Generate reports, dashboards, and visualisations that effectively communicate insights to technical and non-technical audiences.Ensure compliance with applicable policies, procedures, regulations, and professional standards.Contribute to the ongoing review and enhancement of internal data science policies and practices. Experience RequiredMinimum of 5–6 years’ experience in data science projects, including the delivery of predictive and prescriptive models.Proven proficiency with Python, including machine learning libraries and frameworks (NumPy, Pandas, SciPy stack, Matplotlib, scikit-learn), and experience working in Jupyter notebooks.Strong SQL skills and experience handling large, complex datasets.Demonstrated
https://www.executiveplacements.com/Jobs/S/Senior-Data-Scientist-1273448-Job-Search-03-19-2026-07-00-14-AM.asp?sid=gumtree
15d
Executive Placements
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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-3-30-2026-4-48-12-AM.asp?sid=gumtree
5d
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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
8h
Executive Placements
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Seeking a sharp, commercially minded Data Analyst with strong experience across data analysis, modelling, reporting and visualisation within a financial services or investment environment. Youll work across complex data sets, build meaningful insight and support critical business and investment decisions.Bachelors Degree in IT, Computer Science, MIS, Computer Engineering plus 6+ years experience in data analytics / data engineering / analytics roles within financial services. Strong knowledge of asset management, investment data, securities, indices and market data is essential. Solid exposure to Python, T-SQL, Azure data tools, Microsoft Fabric, Power BI, Tableau and Cognos is highly advantageous.If youre technically strong, detail-obsessed, and ready to make an impact in a business where data truly matters, this could be the move.If you have not received a response within two weeks, please consider your application as unsuccessful.
https://www.executiveplacements.com/Jobs/D/Data-Analyst-EE-1275485-Job-Search-3-26-2026-6-03-52-AM.asp?sid=gumtree
8d
Executive Placements
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Requirements: Honours degree in CS, IS, Data Science, or equivalent12 years relevant experiencePython - can write scripts, work with APIs, debug existing codeSQL - comfortable with JOINs, aggregations, and investigating data mismatchesComfortable in a Linux terminal (SSH, bash, running scripts)Strong attention to detail your core job is finding where numbers dont match and whyExperience with any ERP system (Acumatica, SAP, Sage, or similar)PostgreSQL, Docker, or Streamlit experienceExposure to AI/LLM tools (Claude, ChatGPT, etc.)Hospitality or retail background will be an advantage On offer: Direct mentorship from the CEOHands-on experience with NVIDIA AI hardware and production AI systemsOpportunity to shape a product from the ground upFast-paced environment where your work has immediate, visible impact
https://www.jobplacements.com/Jobs/J/Junior-Data-Engineer--AI-1276545-Job-Search-03-30-2026-00-00-00-AM.asp?sid=gumtree
3d
Job Placements
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Our client is a leading provider of customer communication management and document automation technologies. As a Professional Services Implementation Developer, you will play a key role in developing, maintaining, and optimising dataâ??driven document composition workflows for highâ??profile clients.This role is ideal for someone who enjoys working across data transformation, scripting, workflow logic, testing, and production deployment. You will collaborate with crossâ??functional teams, support new customer implementations, and contribute to standardising and improving platform outputs.Key Responsibilities:Process and transform customer data across varied formats including XML, Excel, ANSI/ASCII, and Postscript.Build and maintain document templates and workflows for print, mail, and digital output using enterprise composition platforms.Develop scripts and programs for data validation, automation, and process efficiency (Python, C#, and PowerShell).Troubleshoot and resolve issues related to data processing, workflow logic, and endâ??toâ??end document automation.Collaborate with project managers and developers to deliver customer onboarding and workflow enhancement projects.Support testing, deployment, and production acceptance, and maintain clear technical documentation.Job Experience and Skills Required:Bachelors degree in Computer Science, or equivalent experience.23+ years in data processing, scripting, or software development.Experience working with Python and/or C# / PowerShell.Ability to work under tight deadlines and manage multiple projects.Skills & Preferred Experience:Experience with Quadient Inspire or OpenText Exstream (advantageous).Variable data programming and printâ??andâ??mail exposure.SQL Server experience, including stored procedures and database familiarity.Knowledge of Unix shell or Windows PowerShell.Strong analytical, communication, and documentation skills.Proficiency in Microsoft Office. Adobe Suite is a plus.Understanding of API integrations and omniâ??channel communication workflow design.Apply now!
https://www.executiveplacements.com/Jobs/P/Professional-Services-Implementation-Developer-1263651-Job-Search-04-02-2026-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
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RequirementsBachelors Degree in Computer Science or Information Management or equivalent.A minimum of five to eight years in a data management environment.ResponsibilitiesTo guide the refinement and continuous improvement of tools, methods and processes in area of data management (Data Governance, Reference and Master Data Management, Data Quality Management, Metadata Management, Data Modelling and Design, Data Architecture, Data Warehousing and Business Intelligence, Data Development, Data Security, Data Storage and Operations, Data Integration and Interoperability).To design and implement processes, procedures and technology required for complex, large-scale data sets used for data management areas such as algorithmic modelling, data mining, and research purposes etc.To prepare the required data by performing a data assessment, data analysis, consolidation and / or cleansing.To define, develop, implement, enhance and maintain multiple datasets that support the different business processes.To develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision making and appropriate data usage.To participate and provide technical support in cross organisational activities relating to any of the above mentioned data management activities.Evaluate datasets for consistency, completeness, accuracy and take reasonable actions to correct.Perform data management activities in accordance with the needs of the Organisation.Provide regular progress reports as per stakeholder requirements and present data management updates in various forums as required.Develop process improvements for data management activities.Perform data analysis using statistical tools.Address any issues, questions and problems in accurate and timely manner.Create a database for storing data management artefacts and troubleshooting problems.Interact with business stakeholders and other teams to obtain data requirements for new and existing applications.
https://www.executiveplacements.com/Jobs/D/Data-Management-Specialist-1276180-Job-Search-03-27-2026-10-37-15-AM.asp?sid=gumtree
6d
Executive Placements
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Data Warehouse Design & Development:Design, develop, and maintain robust, scalable data warehouse solutionsDevelop, maintain, and optimise ETL/ELT processes to ensure efficient data flowsConfigure real-time data replication from source systems using tools such as Stelo SQDRConvert legacy Excel-based reporting into Power BI solutionsDevelop professional dashboards and reports for business stakeholdersEnsure accuracy, integrity, and reconciliation of data to source systems Reporting & Analytics:Develop Power BI solutions from high-level technical and business requirementsPerform quality assurance on new reporting functionalityCommunicate data insights clearly to both technical and non-technical audiencesProactively identify trends, insights, and improvement opportunities Governance & Support:Promote data governance principles, standards, and best practicesEnsure compliance with data security and confidentiality requirementsParticipate in operational support, troubleshooting data and reporting issuesProduce and maintain documentation for developed solutions Collaboration & Leadership:Collaborate with business analysts, data scientists, and technical stakeholdersProvide guidance and mentorship to junior developersContribute to continuous innovation and improvement initiatives Skills & Experience:Strong SQL and data warehousing expertisePower BI development and data visualisation skillsETL/ELT design and development experienceStrong analytical, problem-solving, and communication skillsAbility to work independently and within collaborative teamsQualifications:Minimum 3-year Degree in Mathematics, Economics, Computer Science, Information Management, or StatisticsMinimum 5 years experience as a Data Warehouse Developer or similar roleIntroductory Cloud Certification (Advantageous)Experience with SQL Server, SSIS, data modelling (Kimball/Inmon)Exposure to cloud platforms (Azure, AWS, GCP) advantageous Contact:Kayla Reddy
https://www.executiveplacements.com/Jobs/S/Senior-Data-Warehouse-Developer-1277402-Job-Search-04-01-2026-10-15-43-AM.asp?sid=gumtree
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