operating environments e.g., Windows Server Admin, Linux Admin. Design algorithms. Design of Spec &
experience with – MuleSoft Integration experience (admin, operational and development with be advantageous) CodeBuilder, CodeDeploy). Analytics tools and Big Data Platforms experience like Elastic Search, Kafka
ENVIRONMENT: ANALYSE complex data sets and create insightful visualizations to help make data-driven decisions as expertise is sought to fill the role of a Senior BI Data Analyst for a fast-growing FinTech company with years suitable work experience with proficiency in Data Analysis tools GCP (Google Cloud Platform), Google SAS, SQL, Python, R and data visualization tools Google Looker. DUTIES: Data Collection and Cleaning Collect, extract, and compile data from various sources, ensuring data accuracy and completeness. Clean
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 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,
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 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
dynamic team curating and implementing digital and data interventions in urban environments as the next solutions to urban communities. Your role will include data analysis, integration and sharing products, which development and urban data environments & have data proficiency and understanding of data principles. DUTIES: development and urban data environments. Solid data proficiency and understanding of data principles. The ability Ability to implement a budget. Using research and data to inform product management processes. Fluent in
You will require a Master's Degree in Statistics/Data Science or related discipline with 5 years' work with proficiency in Python or R. DUTIES: Analyse data sets to identify factors correlated with Credit better Credit Risk outcomes by integrating models and data-driven approaches into operational processes. Determine sufficiently cover changing Credit Risk. Analyse complex data sets using SQL and other tools to extract insights Risk and Data Analysts. REQUIREMENTS: Qualifications – Master's Degree in Statistics, Data Science, Actuarial
You will require a Master's Degree in Statistics/Data Science or related discipline with 5 years' work with proficiency in Python or R. DUTIES: Analyse data sets to identify factors correlated with Credit better Credit Risk outcomes by integrating models and data-driven approaches into operational processes. Determine sufficiently cover changing Credit Risk. Analyse complex data sets using SQL and other tools to extract insights Risk and Data Analysts. REQUIREMENTS: Qualifications – Master's Degree in Statistics, Data Science, Actuarial
resolving support queries and learning about data, financial data, data processing and algorithms. The ideal detail. Safeguards integrity of sensitive client data. Quick learner. Strong interest in Software Development
server components for data organisation, data exploration, data analysis, data visualization, GIS and market leader providing insights into Telecoms Big Data delivered by very large, distributed processing