Part Time Data Capturer Jobs in Gauteng - Page 5
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Data Modeller
Johannesburg
Monthly
you will be doing:
- Design data models that meet the business requirements and align the agreed architecture framework.
- Ensure data modelling deliverables are delivered according to meet commitment to stakeholders.
- Ensure all data modelling activities and deliverables are aligned the data modelling principles and standards
- Apply the approved tooling to create the data modelling
- Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
share this job on whatsappData Scientist
Johannesburg
Monthly these
- Support the data and analytics teams in creating and enabling data driven measurements, insights
Data Engineer
Johannesburg
market related Monthly
/>The purpose of the Data Engineer is to leverage their data expertise and data related technologies
technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
and solutions around big data that support the company strategy to become a data driven organisation.
Data Analyst
Johannesburg
Responsibilities:
- Data Collection & Management.
- Data Analysis.
- Reporting
- Collaboration with IT and other departments to implement data-driven solutions.
- Continuous Improvemen
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- Education: Bachelors degree in Data Science, Statistics, Finance, Economics, Computer related field. Advanced degree or certification in data analysis or finance is a plus.
- Experience: Minimum of 1-3 years in data analysis within the finance industry.
- Technical
Data Analyst
Johannesburg
360000 Annually
company in the North of Johannesburg is looking for a Data Analyst to take control of BI projects, analyse
analyse user requirements as well as to audit data.
Job Experience & Skills Required:
Data Analyst
At least 1 year experience working
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 Analyst
Johannesburg
Are you passionate about transforming raw data into actionable insights? Do you have a knack for creating
opportunity for you!
We are seeking a talented Data Analyst with a flair for visualization to join our
collaborate with cross-functional teams to drive data-driven decisions.
Key Responsibilities:
Utilize cutting-edge visualization tools to present data in a clear and impactful manner.
Collaborate
updated on industry trends and best practices in data analysis and visualization.
Qualifications:
Data Analyst
IqbusinessJohannesburg
to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
Data Engineer
Johannesburg
industry
Who are we looking for: A data Engineer with a high degree of proficiency in SSIS he Data Engineer will be responsible for designing data models, maintaining, and optimizing data infrastructure infrastructure for data collection, management, transformation, and access. They will be responsible for building and maintaining data pipelines from source systems to the data warehouse and data lake. They will work work closely with the data scientist to build machine learning and analytics infrastructure.
- Collaborate
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