the strong leadership of a highly technical Senior Data Engineer to join its team. You will be responsible infrastructure and systems that enable efficient data processing, storage, and retrieval. You will also help ensure the availability and reliability of data for analysis and decision-making. The successful similar discipline with 4-5years' work experience in Data Engineering, Database Administration, or a related or Informatica. DUTIES: Data Architecture and Modeling - Design and develop data architectures that support
business is repeat business. ENVIRONMENT: JOIN the Data Team of a fast-growing FinTech company with a footprint continent seeking a highly skilled Junior – Mid Data Scientist to help execute the credit scoring roadmap must also have a solid understanding of data warehouses and data structures. DUTIES: Client Limit Management translate business problems into analysis. Proficient in Data Analysis tools (Google Big Query, SQL, Python, R) abilities. Have a basic understanding of data warehouses and data structures. Optional: Passion for Africa
Financial Services company seeks a highly skilled Data Analyst/Scientist to help assist in the development entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation T-SQL, R, Python & Excel. DUTIES: Develop and drive company vision and innovations within the AI/ML and technologies. Extract, cleanse, and validate data to be used for analysis. Translate Business Strategies measures and control systems to track progress. Extract data from various sources and convert it into meaningful
ENVIRONMENT: FACILITATE data-driven decision-making and improve company operations as the next Data Scientist to Durban-based Financial Services company. You will drive Data Science projects, using sophisticated analytics also collaborate with other departments to design data strategies, build models, and embed those models Computer Science, Data Science, or a related field with proven work experience in Data Science roles, including R, have knowledge of data manipulation and visualization & expertise in Data Preprocessing, Feature
SQL replication and exporting & importing of data. You must be able to create MS SQL Logins as well database. Consider both Back-End organisation of data and Front-End accessibility for end-users. Refine design so that it can be translated into a specific data model. Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata). SQL replication and exporting & importing of data is essential. Must be able to create MS SQL Logins
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform methodologies. You will also need proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum in SQL for data extraction and manipulation, Tableau and Power BI or similar. DUTIES: Data Collection Collection and Analysis - Gather and consolidate data from various sources, including databases, spreadsheets,
join its Fund Data Services Team where you will conduct new feature analysis and drive development on hedge fund, and other investment business data and data automation requirements including Unitisation Investment Accounting, Fund Factsheets, and other fund data service solutions as an Analyst and Developer. The frameworks & exposure to financial calculations and Data Analysis in a software environment. DUTIES: Analyse problems using technology. Strong SQL Server and data structure skills. Building financial solutions in
where you will play a crucial role in enhancing its data strategy and technology stack, incorporating advanced advanced AI capabilities to optimize operations and drive data-driven decision making. This position requires frameworks. DUTIES: Data Analysis and Reporting – Develop and maintain dashboards, reports, and data visualizations operations and strategic decision-making. Analyse complex data sets to identify trends, patterns, and actionable technologies into the BI framework. Collaborate with IT and Data Science teams to develop and deploy AI models that
operating environments e.g., Windows Server Admin, Linux Admin. Design algorithms. Design of Spec &
involve complex interactions across multiple systems. Drive successful end-to-end delivery of objectives. Take providing technical guidance. Lead by example and drive an Engineering culture. REQUIREMENTS: 7 Years experience Frontend: React, TypeScript Backend: Python, TypeScript Data: MongoDB, PostgreSQL, MySQL Infra: AWS Lambda, Serverless