We are looking for a Senior Data Analyst to join our team in Cape Town . 3 days (Tuesday, Wednesday & working directly with stakeholders. Senior, Data, Analyst, retail, power bi, SQL, degree, stakeholders
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or testing. Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout in extracting value and features from large scale data and toolsets Modern code development practices Extensive
Data Engineer, Other, Cape Town. Company Name:Surgo HR and Training. Surgo (PTY) Ltd. has partnered with recruiting for a Data Engineer to join their team based in Cape Town. Job purpose: The data engineer is ultimately ultimately accountable for preparing and manipulating data for further analysis, including ETL and will support development lifecycle The Data Engineer is responsible for extracting and transforming data from source systems analytics. Overall the Data Engineer will strive for efficiency by aligning data systems with business
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or testing. Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout in extracting value and features from large scale data and toolsets • Modern code development practices
industry is currently looking for a Project Manager (Data Centre) to be based in Cape Town on a Fixed Term Experience in leading teams. 3 years' Experience in Data Centre Construction – Essential. FIDIC, NEC3, JBCC
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
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or testing. Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout in extracting value and features from large scale data and toolsets Modern code development practices Extensive
Ready to be the hero of our data story? We're searching for a Data Scientist to elevate our analytics If you can transform data into actionable insights with the skill of an analyst and the creativity of experience: 4 - 6 yrs Compulsory Hardskills: Data science, Data & AI Strategy Detailed Job Description:
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
perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse practices/standards. Build monitoring and testing mechanisms on data transformations Continuous improvements on AWS in