We require a quick, efficient & accurate Data Capturer for permanent position. Must have plenty of proven computer skills and proven previous data capture experience essential. MUST BE ABLE TO CALCULATE ACCURATELY and use Pastel, Excel and Word spread sheets Data input / typing must be fast and accurate. Able to 12,000 per month negotiable. The post Junior Data Capturer appeared first on freerecruit.co.za .
for a Data Engineer to join their team. The purpose of the Data Engineer is to leverage their data expertise expertise and data related technologies, in line with the Company's Data Architecture Roadmap, to advance 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 Software
power of data? Join us as a Data Scientist Dive into cutting-edge projects, analyze Big Data, and craft Responsibilities: Apply advanced data science techniques to optimize data value extraction and analysis maintain projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection detection to enhance data insights. Present findings effectively, foster collaboration, and innovate for market Proficiency in quantitative model building and data analytics. Experience with machine learning model
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
will drive actionable business insights, building a data-driven culture, improving business performance cross-functional Management Team Collate all operational and business data analysis Prepare compilation of the weekly, monthly use/adjust the relevant IT applications to retrieve data Please note if you have not heard from us in 2 weeks
a Testing client is looking for a skilled Junior Data Analyst for their Johannesburg and Durban offices of competency. Experience 1 - 2 years' relevant data analysis experience in a professional working environment
scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
The Data Analyst is responsible for managing and maintaining the organization's databases, ensuring their to support the data infrastructure needs of the company. Scope of the Role: The Data Analyst plays a database issues, optimizing performance, and ensuring data availability. The role requires both independent necessitating strong communication and teamwork skills. The Data Analyst will contribute to strategic planning for infrastructure improvements and support the organization's data-driven initiatives. Database Management: Install
The Fleet Data Analyst will play a crucial role in managing and analysing data related to fleet operations responsible for collecting, interpreting, and presenting data to optimize fleet performance, reduce costs, and insights and support data-driven decision-making. Data Collection: Collect and organize data from various sources consumption records, and driver reports. • Data Analysis: Analyse fleet data to identify trends, patterns, and and anomalies. Utilize statistical methods and data visualization techniques to extract meaningful insights
fit-for-purpose analytical methods and techniques, to provide data-driven insights to answer these questions. With and data-driven solutions. ● Build a deep contextual understanding of the business and the data to design meaningful business value. ● Work closely with the data provisioning team to ensure they can provide the consistent, and context-rich data assets that the team requires for data use cases. ● Create algorithms systems to track model performance. ● Presentation of data science opportunities and model outcomes to a variety