these activities in order to assist with the management thereof. Description Additional information: epidemiological, clinical, and basic science research and innovation It currently manages a number of clinical trials and nested work, it seeks to appoint a qualified Clinical Trial Assistant to participate in a number of throughout the process Record all data obtained and maintain all data and case report forms, both paper as an HIV Counsellor or similar Experience in clinical trials would be advantageous Desirable additional
these activities in order to assist with the management thereof. Description Additional information: epidemiological, clinical, and basic science research and innovation It currently manages a number of clinical trials and nested work, it seeks to appoint a qualified Clinical Trial Assistant to participate in a number of throughout the process Record all data obtained and maintain all data and case report forms, both paper as an HIV Counsellor or similar Experience in clinical trials would be advantageous Desirable additional
through public health-focused epidemiological, clinical, and basic science research and innovation
: To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics will collaborate with other departments to design data strategies, build models, and embed those models models into software-driven business processes Data Analysis and Modelling: - Develop and deploy machine learning processes. - Conduct in-depth data analysis, data exploration, and data pre-processing to extract valuable
URGENT VACANCY JNR. DEVELOPER – DATA ENGINEER CAMPERDOWN, KZN Responsible for assisting the IT and IS systems / Computer Science • 3 years in position of data developer • MS Office – proficient • Valid SA Code experience – essential The post JNR. DEVELOPER – DATA ENGINEER appeared first on freerecruit.co.za .
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
Responsibilities:
Data Analysis and Modelling:
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
Currently seeking a Business Data Analyst for a leading FMCG company based in Durban. Responsible for for developing and managing a data warehouse for the business, including all ETL processes required to platforms and analytical models vital for tracking and managing the business Working closely with cross functional Responsible for owning and managing a business intelligence strategy for the business Managing and supporting the the businesses master data process, to ensure suitable levels of data accuracy and quality Degree/Diploma
The data engineer is responsible for expanding and optimizing our data and data pipeline architecture well as optimizing data flow and collection for cross functional teams. The Data Engineer will support database architects, data warehouse managers, data analysts and data scientists on data initiatives and will will ensure optimal data delivery architecture is consistent throughout ongoing projects. Key Responsibilities: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional