Square1Recruitment or SQ1Recruitment. Are you a Data Science Enthusiast with a Passion for Mining and oneering company at the forefront of revolutionizing data science within the mining and mineral processing Development & Data Requirements: Assist in developing scopes of work and minimum data requirements for new client sites. Hybrid Data Processing & Storage: Develop a hybrid data processing and storage system seeking feedback from users. Data Integration & Insights: Integrate data between on-site monitoring
retail industry who are currently in search of a Data Analyst based in Sandton . Experience a diverse environment 3-year related degree (In a quantitative field ie: Data, Finance, Economics etc.) Post graduate qualification qualification (advantageous) 3-7 years' experience in Data analytics. A high level of mathematical ability and security, business) Knowledge of retail industry data models Knowledge of compliance and IT governance model and interpret data. If you have a passion for analyzing and interpreting data to influence business
Square1Recruitment or SQ1Recruitment. Are you a Data Science Enthusiast with a Passion for Mining and oneering company at the forefront of revolutionizing data science within the mining and mineral processing Development & Data Requirements: Assist in developing scopes of work and minimum data requirements for new client sites. Hybrid Data Processing & Storage: Develop a hybrid data processing and storage system seeking feedback from users. Data Integration & Insights: Integrate data between on-site monitoring
reliable, on-time, efficient & high-quality data analytics solutions and professional services that make faster and more informed decisions based on insights generated from this capability The team to achieve delivered according to the estimated timeline • Insights are always rigorously tested and approved before Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest
Telecommunications industry is currently looking to employ a Data Analyst / CRM Administrator based in Port Elizabeth Proven experience as a CRM Administrator or Data Analyst or in a similar role. Solid knowledge and understanding administration, including user management, data management, customization, and reporting. Strong analytical and skills. Advanced proficiency in Microsoft Excel for data analysis and reporting purposes. Attention to detail detail and organizational skills to ensure accurate data entry and system maintenance. Outstanding communication
consultancy that uses data to guide strategy and drive business performance has a Data Analyst role available Town. Responsible for developing business cases/insights, preparing reports, and creating/improving BI
Town has an amazing opportunity for a Senior Data Analyst. BI experience a bonus. Take full responsibility
wholesale businesses are looking to recruit a Senior Data Analyst to work within their Internal Audit department effective use of data analytics by obtaining more timely access to and management of data assets. Responsibilities: sorting, and making sense of necessary data. Proactively search for data anomalies that could be indicative issues. Work with internal auditors to understand data needs and brainstorm ways to perform audits more implementation of a continuous monitoring framework using data analytics to support the relevant internal audit
Client is looking for a Analyst, located in Johannesburg Job responsibilities: Data Analysis and Interpretation: Interpretation: - Analysis of complex data sets to derive actionable insights. - Development and maintenance enhance actuarial processes. - Collaborate with data scientists and engineers to develop AI-driven solutions Expertise: - Assessment and analysis healthcare provider data. - Evaluate pricing strategies, reserve requirements development projects to advance our firm's capabilities. Analyst – Job Spec Ad hoc: - Support senior resources with
the data to create actionable plans for the 13 operational sites across the EMEA region. The Data Scientist opportunities for data-driven solutions. Collect, clean, and manipulate large datasets to extract insights and generate other data scientists, engineers, and business analysts to develop scalable and efficient data pipelines gaining an understanding of the process context, data collection, and extraction methods. Continuously accuracy and effectiveness. Stay up-to-date with new data science and machine learning technologies and methodologies