Job Description Position Title: Data / Business Analyst - Intermediate Reporting to: Commercial Manager for a passionate Data Analyst / Business Analyst. The successful candidate will turn data into information improvements. Key Responsibilities: Data Analysis: Collect, process, and analyze data to provide actionable insights insights, trends, and patterns to support data-driven decision-making within the organization. Basic IT second weekend for IT assistance. Data Visualization: Ability to create data visualizations and reports that
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 to do routine data cleaning and analysis tasks Identify patterns and correlations in data from which hypothesis Ability to turn data insights into practical actions resulting in improved results Data Visualization Change available data (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution
seeking a talented Data Scientist to join their team and help them leverage the power of data to make informed languages such as Python, R, or SQL Experience with data mining, machine learning algorithms, and statistical
solution for data migration during the solution design phase. Devise and get approval for the data migration all data. Oversee and ensure a gap analysis for any missing or archive data. Reviewing as is data quality and putting in place plans to address any required data quality improvements. Oversee and ensure the building building of data validation scripts. Ensure the accurate filling of intermediate data tables during data load Requirements: Degree in project management or IT. 10 years Data Migration experience Proficiency in project management
representing a reputable insurance giant who is looking for Data Science Manager to lead their team. The ideal candidate office. Minimum Requirements: Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science advantageous Minimum of 5-7 years of experience in data science or analytics, with at least 2 years in a languages such as Python, R, or SQL. Experience with data visualization tools Strong knowledge of machine algorithms and statistical methods. Familiarity with big data technologies If you are interested in this opportunity
What you'll be doing if you get the job: As a Data Analyst at you will be responsible for collecting collecting, analyzing, and interpreting complex data sets to provide valuable insights and support strategic decision-making ICT. Your knowledge: • Data Collection and Processing: Gather and consolidate data from multiple sources validate, and preprocess data to ensure accuracy, completeness, and consistency. • Data Analysis and Visualization: Visualization: Utilize statistical techniques and data mining algorithms to analyse large datasets and extract
Qualification:
- Degree in Mathematics, Science, Commerce, or Computer Science (NQF Level 7), or equivalent with valid evidence of competency.
- Major in Computer Science is required.
Experience:
- Minimum of 2 years relevant programming e
IT Degree
solutions to enhance performance and efficiency. Data Security and Backup: Implement and maintain database protect sensitive data. Develop and manage backup and recovery plans, ensuring data integrity and availability availability. Data Integration and Migration: Design and implement data integration solutions for importing/exporting importing/exporting data between various systems. Plan and execute data migrations and transformations as administrators, and other stakeholders to support data-related activities. Provide technical support and
which will populate the Data Warehouse. Develop and enhance the back end of the Data Warehouse to satisfy strategies. • Performing data extracts. • Support implemented BI solutions by monitoring data loads, addressing addressing user questions concerning data integrity, doing performance tuning, archiving strategy and communicating Diploma/Degree in Information Technology, Computer Science or data related qualifications Experience in programming understanding of database design and system analysis. Data Warehousing experience. SQL/PLSQL knowledge essential