Data Capturer%2Cgovernment Jobs in Johannesburg - Page 2
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Data Engineer
Johannesburg
Monthly years' experience in data engineering
share this job on whatsappData Analyst
Johannesburg
Technical/Solution Goals
Beneficial
Data Analyst
Johannesburg
SSIS packages, and dashboards
Data Engineer
Cyberpro ConsultingJohannesburg
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Telecommunication · The Data Engineer will be responsible for transforming data into actionable insight
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
1 000 000 services have an open role for a Cloud Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
1 000 000 enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for company's operations. Creating logic links between data from various systems to facilitate cross system business processes. Design and implement automated data comparisons to trigger certain processes. Simplifying
Cloud Data Engineer Johannesburg
IntellinexusSouth Africa
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
Data Lead Bryanston
Ad TalentBryanston
: A Master data lead What will you do: As a key member of the project team, the Master data lead is responsible responsible for the management and maintenance of master data according to business policies and rules, supporting WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and planning. Fix the basics: Owner to ensure master data for all relevant modules are checked and corrected parameters etc. Understand and document all data requirements and data sources for all modules in scope for
Finance Data Analyst
Johannesburg
Monthly
role
- Financial data management & data processing
- Create financial models models
- Analysing data trends
- Interpreting and visualizing data
- Data quality
- Building office-based role working with Finance Manager, Data team & IT.
- Understanding of the Adviceworx business processes.
- Building data models
- Automating data models
- Update dashboards proficient, need to be comfortable to work with data & analyse data.
- Strong financial background
- Self
Data Analyst Johannesburg
Moving Heads PersonnelJohannesburg
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
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