Services industry, is seeking a highly skilled Senior Data Engineer to join their dynamic team. In this role robust data pipelines, ensuring the availability, reliability, and accessibility of our data assets. Your expertise in data warehousing principles and experience with Hadoop components will be invaluable invaluable as we strive to optimize our data infrastructure and support our business intelligence initiatives field.
insights from data and solving complex business problems? We're looking for a skilled Data Scientist
identify data sources, and create engaging Power BI reports and dashboards.
enterprise standard ETL/ ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure.
Description Data Analyst - Sales Location: Midrand Salary: R22 000 – R30 000CTC (inclusive of Medical Minimum 2 years experience working experience as a Data Analyst Strong Excel skills Excellent communication logically and make informed decisions based on the data Ability to work well in a pressurised environment Extracting, analysing, formatting and presenting data used for various KPI Reports which are sent to some various internal departments to gather relevant data from safety reports, investigations, financial reviews
services have an open role for a Cloud 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
enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for company's operations. Creating logic links between data from various systems to facilitate cross system business processes. Design and implement automated data comparisons to trigger certain processes. Simplifying
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
: A Master data lead What will you do: As a key member of the project team, the Master data lead is responsible responsible for the management and maintenance of master data according to business policies and rules, supporting WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and planning. Fix the basics: Owner to ensure master data for all relevant modules are checked and corrected parameters etc. Understand and document all data requirements and data sources for all modules in scope for
Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker powerhouse to lead our data analytics team in harnessing the potential of data to shape business strategies COMPANY realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute interpret, and present financial, client, and other data.
- Consolidate, analyze, interpret, and provide
Applications are invited for the position of Head of Data Management based at Head Office (Bruma). The successful provide strategic and tactical leadership for the data management function in line with the organisational lead and guide the development and utilisation of data systems within the organisation, implementation ensuring effective data management, and efficient methods to organize, store and analyse data, while maintaining driver in optimizing data systems, unlocking valuable insights, and supporting data-driven decision-making