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
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
globally. The ideal candidate should have expertise in data integration, process automation, and product support reviews. Apply appropriate fixes to applications or data whilst adhering to production change standards Build experience. An understanding of data and systems architecture. Experience in Azure Data Factory, Microsoft Azure
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
Responsible for managing devices and passwords, Oversee data backup and system security (e.g., user authorisation escalated by support teams, and/or clients, Ensure that data is handled, transferred or processed according to Understanding of network infrastructure, Understanding of data protection regulations, Experience with DevOps tools
exceptional support. Your role will also entail managing Data, VoIP & CCTV IP network, and routing protocols: transport. DUTIES: IP Network Management – Manage Data, VoIP, and CCTV IP network. Keep all IP devices emergency, recovery, and contingency plan. Perform data backup. Ensure URL filtering is enabled for all hardware, software, data media and violations. Liaise with users with regard to all data communication matters users with regard to problem solving, quality of data, customer needs, network planning, environmental
experience as an Applications Programmer on large-scale data base management systems, experienced with all ancillary distributed systems with high data loads. Deep understanding of distributed data model. Solid understanding Experience as an Applications Programmer on large-scale data base management systems. Writing SQL queries for