to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
Role : AWS Data Engineer Location : Johannesburg [ 3 Days in a week from office] Duration : 12 Months are seeking a highly motivated and experienced AWS Data Engineer to join our Global Markets division. In quantitative analysts, and data scientists to design, develop, and maintain data infrastructure and pipelines background in C# or Python programming and building data pipelines on AWS, especially with AWS Glue Jobs contributing to the design and implementation of data pipelines to support global markets business. It
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 to join their Organisation. Job Purpose The purpose of the Data Engineer is leverage their data expertise and data related technologies, in line with the Company Data Architecture 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
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.
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
and recognition to its employees seeks a Senior Data Scientist who will be accountable for designing Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling Analytical, Python Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience: Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related R or Python proficiency. Exposure to extracting data from databases is compulsory. Understanding &
a Master Data Specialist to ensure the accuracy, consistency, and integrity of master data across various degree in computer science, Information Systems, Data Management, Business Administration, or a related with systems, with specific experience in systems data quality control and maintenance (e.g. Product lists cleaning and validating large sets of data Understanding of data governance and quality principles Solid Solid understanding of fundamental data concepts The Reference Number for this positio n is NG59243 which
innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
developing, and maintaining master data management solutions to ensure data integrity, consistency, and accuracy role in implementing MDM solutions and supporting data governance initiatives. MDM Solution Development Development Design, develop, and customize master data management solutions using MDM platforms such as Informatica Implement data models, hierarchies, and relationships to support business requirements and data governance workflows, business rules, and data validation processes within the MDM platform Data Integration and Interoperability