Hospital Data Capturing Jobs in Gauteng - Page 3
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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
share this job on whatsappData 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
companies within the hospitality industry
Who are we looking for: A data Engineer with 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
Data Engineer
Johannesburg
Negotiable the lookout for a Data Engineer to join their team.Â
The purpose of the Data Engineer is to leverage leverage their data expertise and data related technologies, in line with the Company’s Data Architecture 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 solutions around big data that support the Bank's strategy to become a data driven organisation.
Data Engineer NEW
Johannesburg
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- Collaborate with Business and the Markets Data Analyst to understand the requirements and BI solution Ab-initio exposure would be advantageous
- Markets Data Analytics project lifecycle
- The Capital experience in designing and building data warehouses, BI systems and complex data eco systems
- Engaging
Data Engineer
Johannesburg
Monthly
for:Â
- Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between source system (golden/trusted) and the target database (LOB) (LOB), hence provide good quality data by applying the necessary framework/s and governance to whomever fields
- 5 years experience as a Data Analyst
- Data warehousing concepts is advantageous.
- Ab cloud) is essential.
- Azure Cloud â Azure Data Factory is advantageous.
- Agile working approach
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