Ready to be the hero of our data story? We're searching for a Data Scientist to elevate our analytics and drive business growth. If you can transform data into actionable insights with the skill of an analyst experience: 4 - 6 yrs Compulsory Hardskills: Data science, Data & AI Strategy Detailed Job Description:
Reference: ITE006013-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Purpose The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the Company Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation. Job
analytics enabled business to create value through data engineering and analytics. Design, develop and optimise
Description The Data Scientist is responsible for collecting, analyzing, and interpreting complex data sets to involves applying statistical, machine learning, and data mining techniques to extract trends, patterns and insights from structured and unstructured data sources. The Data Scientist collaborates closely with cross-functional volumes of data from various sources, including databases, data warehouses, and external data providers providers. Design and implement data modelling, data mining, and machine learning algorithms to uncover patterns
Reference: ITE006012-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
client in the UK, is an independent investment research firm specializing in the tech/media sectors (TMT) currently looking for a Sales assistant/Client Research Analyst from Cape Town . They serve the top tech DESCRIPTION: JUNIOR RESEARCH ANALYST They are looking for a Sales assistant/Client Research Analyst, who can strategic positioning of companies within our research, we will help you understand how the markets work helping utilize their Client Relationship System, data entry in 3rd party tacking platforms, and assisting
based in Durban North and has a temp position for a data capturer in their accounts department. Position Candidate must have minimum 3 years data Capturing experience Able to input data at a rapid speed Fully computer
Description: My client requires the services of a Data centre Engineer based in the IT Infrastructure Department implementation, maintenance, and optimization of data centre infrastructure, ensuring high availability critical systems and services housed within the data centre environment. The role involves collaborating implementing best practices to support the organization's data centre operations. Requirements: Bachelor's degree desirable. Internal Use - Tracker Proprietary Strong IT/Data centre skills/experience/background. Strong understanding
Reference: CTI003663-CAF-1 You know you're a data engineer when your nightmares involve NULL values chasing talented Data Engineer with a proven track record of designing and implementing robust data architectures transforming raw data into valuable insights and possess the skills to create scalable and efficient data pipelines Proven experience as a Data Engineer, specifically with a focus on building data infrastructure from scratch or Scala In-depth knowledge of data modeling, ETL processes, and data warehousing concepts Solid understanding