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 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 Qualifications – Relevant IT Degree / Diploma. Experience/Skills – Strong background in Statistics, Machine
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 including hands-on experience with Machine Learning and Statistical Analysis. You must also be proficient
have 1 year SQL Database Administration work experience in a high pressured, fast-paced environment. 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).
where you will play a crucial role in enhancing its data strategy and technology stack, incorporating advanced AI capabilities to optimize operations and drive data-driven decision making. This position requires a skills, business acumen, technical expertise, and experience with AI technologies. The ideal candidate must or similar discipline with at least 5 years of experience leading BI teams and achieving organizational frameworks. DUTIES: Data Analysis and Reporting – Develop and maintain dashboards, reports, and data visualizations
Financial Analyst Developer (SQL) to join its Fund Data Services Team where you will conduct new feature 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 hematics or similar field with 2 years' work experience solving financial business problems using technology frameworks & exposure to financial calculations and Data Analysis in a software environment. DUTIES: Analyse
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation of for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum Master experience preferred 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,
resolving support queries and learning about data, financial data, data processing and algorithms. The ideal Science/Information Systems – Honours preferred, 1-2 years' experience writing software and your tech toolset should Computer Science. Honours preferred. Experience/Skills - 1-2 Years' experience writing software. C# ASP.Net Forms detail. Safeguards integrity of sensitive client data. Quick learner. Strong interest in Software Development
Applicants will require at least 5 years proven work experience in a similar role – preferably in the Software/Tech Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights opportunities for improvement. REQUIREMENTS: Proven experience as a Senior Customer Success Specialist or similar Software/Technology industry , minimum 5 years' experience. Excellent interpersonal, negotiation and communication
Applicants will require at least 5 years proven work experience in a similar role – preferably in the Software/Tech Software/Tech industry with the ability to interpret data and make data-driven recommendations. DUTIES: Develop and engagement, and satisfaction levels. Analyse customer data, usage patterns, and behaviour to derive insights opportunities for improvement. REQUIREMENTS: Proven experience as a Senior Customer Success Specialist or similar Software/Technology industry , minimum 5 years' experience. Excellent interpersonal, negotiation and communication
globally. The ideal candidate should have expertise in data integration, process automation, and product support relevant degree and at least 6-8 years of industry experience or business analysis. DUTIES: Take ownership reviews. Apply appropriate fixes to applications or data whilst adhering to production change standards Build Relevant degree. SQL Experience is essential. At least 6-8 years of experience in the industry or business analysis experience. An understanding of data and systems architecture. Experience in Azure Data Factory