healthcare industry is looking for an experienced Data Scientist to join their team. If you come from the these Relevant data science certification such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning is not negotiable Minimum 5 years experience in data science related projects Experience in Python / notebooks SQL Knowledge and working with large scale data sets Machine learning techniques experience Working Agile environment Experience in operationalizing data science solutions Critical: Experience in a high-scale
talented Data Solution Architect to join our dynamic team and play a crucial role in shaping our data infrastructure develop, and implement robust data solutions, including data warehouses, data lakes, and BI platforms. Conduct performance analysis, tuning, and administration of data solutions. Collaborate with cross-functional teams scalable data architectures. Leverage cloud platforms, particularly AWS, to deploy and manage data solutions solutions. Ensure data integrity, security, and compliance with industry standards and best practices. Required
for a Junior Data Engineer.
The purpose of the Data Engineer is to leverage their data expertise and and data related technologies, in line with the Company's Data Architecture Roadmap, to advance technical 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 Company's strategy to become a data driven organisation
Team and wider business stakeholders to analyse data and draw conclusions and insights to:
Consolidation of data from multiple data sources.
Internal and external stakeholder
Level.
MS PowerPoint must be able to summarise data analysis to communicate key messages in an engaging
Business/Data Analyst with a strong foundation in statistical analysis, data modeling, and and business intelligence. Adept at transforming data into actionable insights to drive business decisions Business Intelligence Data Analyst Africa during time of absence.
company with a fast-paced environment is looking for a Data Engineer Deliver Intelligent systems at scale. Powering (cross-functional) and Customer Development areas through data and analytics. Building out the right applications and future-looking decisions leveraging Big Data & Data Science. Winning disproportionately. Creating & internal data, and presenting this in a way that is simple for our teams. Make data a true asset asset. Better data and data science access for every part of the business, across the 3 data frameworks (Connectivity
PE010814-LM-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the company's 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 Bank's strategy to become a data driven organisation. Job
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys 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
solutions around big data that support the Bank's strategy to become a data driven organisation.
Data Analyst (JB4551) Remote (Suitable for candidates in Gauteng only) R600 000 to R620 000 Annually travel retail sector is looking for a professional Data Analyst. The business' core focus is on providing Team and wider business stakeholders to analyse data and draw conclusions and insights to enable decision-making Minimum of 3 years' experience in a related field i.e. data visualization and analytics, working with businesses environment is desirable Consolidation of data from multiple data sources Internal and external stakeholder
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate