Technical/Solution Goals
Beneficial
We are currently seeking a skilled Data Analyst to join our team. In this role, you'll you'll play a crucial part in analyzing data to provide valuable insights that drive business decisions Business Intelligence Data Analyst Africa during time of absence.
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
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
: 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
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
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
management practices, ensure alignment to the group risk data principles and governance and identify opportunities Supervision 239 (BCBS239) through the embedment of Risk Data Aggregation and Risk Reporting (RDARR) principles practices and ensure alignment to the Group Risk Data principles and governance Monitor the activities Supervision (BCBS) 239 Principles for effective risk data aggregation and risk reporting to provide RDARR effectiveness and provide support to stakeholders to capture their inputs Prepare the RAFA packs in preparation
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