buildup initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. requirements of the data & analytics environment Analyse business or system requirements and data to enhance years in a data environment Experience with ETL processes and SDLC Database system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design, and Architecture experience Ideally
requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office Rotation Amazing
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
Team and wider business stakeholders to analyse data and draw conclusions and insights to:
Consolidation of data from multiple data sources.
Internal and external stakeholder
Level.
MS PowerPoint must be able to summarise data analysis to communicate key messages in an engaging
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
and external project engagements. Understanding data is the catalyst for innovation, informed decision-making navigating the data mine can be a challenge. Our Data Consultants are fuelling the data-driven revolution thrive in the future. Data Engineering Enhancing data solutions, including databases, data warehouses, and pipelines, to maximise raw data's utility. We design BI Architectures, craft robust data solution architectures architectures, aid in seamless data migration, integrate disparate sources into unified data marts, and ensure technical