Clinical Data Monitor Jobs in South Africa - Page 3
- Gauteng (8)
- Kwazulu Natal (3)
- Western Cape (1)
IT / Computing / Software
- Offerzen (1,044)
- Network It (68)
- Isanqa (55)
- Datafin It Recruitment (44)
- E-merge It Recruitment (39)
- Job Crystal (32)
- Network Finance. (29)
- Exl (26)
- Hire Resolve (24)
- Mediro Ict Recruitment (24)
Data Scientist
Goldman Tech Resourcing Ltd
Johannesburg
insurance clients is looking for an experienced Data Scientist to join their team. You will work with client is looking for someone that has ML and Big Data experience. We require a candidate with: BSc/BCom
share this job on whatsappData Specialist
Raw AmbitionKloof Street
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Data Engineer
Pretoria
800000 Annually
field
- At least 3-5 years of experience in data engineering
- Strong skills in programming
with data technologies such as Hadoop, Spark, and cloud-based platforms
- Knowledge of data modeling
modeling, data warehousing, and ETL processes
- Strong problem-solving skills and attention to detail
Data Consultant
Raw AmbitionCentral Johannesburg
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Data Engineer
Johannesburg
excellent returns, is seeking a talented Data Engineer to join their data analytics team. They are committed maintain robust data pipelines using SQL and Microsoft Fabric
Data Modeller
Johannesburg
- Design data models that meet the business requirements and align to the agreed architecture architecture framework.
- Ensure data modelling deliverables are delivered according to project plan and budget 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
Data Scientist
Johannesburg
Data Scientist - Contract (Hybrid)
Purpose Statement
To drive remains competitive in a dynamic landscape where data science is a key strategic differentiator. To design Degree in Data Science
Preferred:
- Masters Degree in Data Science
- Experience in data science, machine learning, and deploying developed
principles and techniques in at least one discipline of data science (e.g., NLP, Deep Learning) and the ability
Data Analyst
Johannesburg
Responsibilities:
- Data Collection & Management.
- Data Analysis.
- Reporting
- Collaboration with IT and other departments to implement data-driven solutions.
- Continuous Improvemen
/>
- 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 Scientist
South Africa
35000 Monthly
large datasets.
You will solve problems using data and machine learning techniques within various industries
Head Of Data
Sandton
/>
Data Quality Management:
Develop and implement a data quality framework
consistency of data within Global Markets.
Establish data quality standards, metrics, and monitoring mechanisms
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
/>Data Governance:
Implement data governance frameworks, including data attestation
attestation and data lineage, to ensure the integrity, security, and usability of data assets within Global Markets
Share on Facebook
Share on Twitter
Share on Linkedin