Performance Tuning and Optimization Data Security and Backup Data Integration and Migration Database Design
individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better SQL, Python, and data visualisation techniques. Skilled in Microsoft Excel for data manipulation. Strong
enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for to do routine data cleaning and analysis tasks Identify patterns and correlations in data from which hypothesis Ability to turn data insights into practical actions resulting in improved results Data Visualization Change available data (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution
seeking a talented Data Scientist to join their team and help them leverage the power of data to make informed languages such as Python, R, or SQL Experience with data mining, machine learning algorithms, and statistical
representing a reputable insurance giant who is looking for Data Science Manager to lead their team. The ideal candidate office. Minimum Requirements: Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science advantageous Minimum of 5-7 years of experience in data science or analytics, with at least 2 years in a languages such as Python, R, or SQL. Experience with data visualization tools Strong knowledge of machine algorithms and statistical methods. Familiarity with big data technologies If you are interested in this opportunity
What you'll be doing if you get the job: As a Data Analyst at you will be responsible for collecting collecting, analyzing, and interpreting complex data sets to provide valuable insights and support strategic decision-making ICT. Your knowledge: • Data Collection and Processing: Gather and consolidate data from multiple sources validate, and preprocess data to ensure accuracy, completeness, and consistency. • Data Analysis and Visualization: Visualization: Utilize statistical techniques and data mining algorithms to analyse large datasets and extract
Reference: NWA003560-CH-1 Are you a Data Analyst that is looking for that one opportunity where you can company in the North of Johannesburg is looking for a Data Analyst to take control of BI projects, analyse analyse user requirements as well as to audit data. Job Experience & Skills Required: Relevant Tertiary experience within the IT environment operating as a Data Analyst At least 1 year experience working with
Join Our Client's Team as a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role cross-functional global team Contribute to the development of a data-driven performance mindset/way-of-working across
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer, you will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
maximum efficiency. Define both physical and logical data security rules and establish usage standards for and capacity planning. Create databases and deploy data on physical media, AZURE DaaS, or Private Cloud including inventory and capacity planning. Ensure data availability and quality by maintaining and enhancing to ensure efficient data access. Administer user access permissions and address data security concerns backup systems to maintain data integrity, including archiving and purging data as necessary. Establish