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expanding its Cape Town office and is seeking an Junior Data Analyst to work in-office. In this position, appropriate. Utilise SQL queries and maintain reporting through Power BI to support data understanding and offering input and advice on using Practice Engine data for the Finance team. Provide additional project-related Required Skills and Experience: BCom degree in Data Science or Business Science. 1 - 3 years of total
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton and Investments 4. Retail 5. Telecommunication Junior Data / Business analyst. Experience in the following
Paracon SQL Database Administrator Our team looks after a large geographically distributed Microsoft Microsoft SQL Environment that utilizes many of the latest SQL functionality, and constantly seeks to leverage systems. Our business is fast paced and requires data that is real time, accurate and responsive. To accomplish Business Intelligence departments to not only provide data, but supply input into best practices to ensure expectations. Key Responsibilities: Administer Microsoft SQL Server database environments Ensure high levels of
Location: Cape Town We are seeking a highly skilled ETL/ SQL Server Developer to join our client in Cape Town experience in data management. Key Responsibilities: Design, develop and maintain ETL processes using SQL Server complex SQL queries to extract, transform and load data from various sources Collaborate with data analysts business stakeholders to understand data requirements and ensure data accuracy Troubleshoot and resolve resolve any issues with ETL processes and data quality Optimize ETL processes for improved performance and scalability
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and experienced Data Scientist with a robust background in data analysis, machine learning as Python and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving exploring emerging technologies and methodologies in the data science field.Â
What you’ll do explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the 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 Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry Proficiency: Strong skills in data manipulation and analysis using SAS, SQL, or similar platforms, coupled coupled with in-depth knowledge of Data Warehousing and BI environments.