Performance Tuning and Optimization Data Security and Backup Data Integration and Migration Database Design
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
within a consultancy known for leading a world class data analytics/warehouse capability and specialising vacancy for a Senior Data Engineer to deliver digital solutions If you are a passionate data engineer with experience experience in data warehousing, data lakes, cloud technologies , and ETL tools , we encourage you to Responsibilities: Design and develop data warehousing and data lake solutions to support business needs as AWS Glue, Azure Data Factory, Matillion, SSIS Collaborate with data analysts, data scientists, and business
Job Description Position Title: Data / Business Analyst - Intermediate Reporting to: Commercial Manager for a passionate Data Analyst / Business Analyst. The successful candidate will turn data into information improvements. Key Responsibilities: Data Analysis: Collect, process, and analyze data to provide actionable insights insights, trends, and patterns to support data-driven decision-making within the organization. Basic IT second weekend for IT assistance. Data Visualization: Ability to create data visualizations and reports that
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
solution for data migration during the solution design phase. Devise and get approval for the data migration all data. Oversee and ensure a gap analysis for any missing or archive data. Reviewing as is data quality and putting in place plans to address any required data quality improvements. Oversee and ensure the building building of data validation scripts. Ensure the accurate filling of intermediate data tables during data load Requirements: Degree in project management or IT. 10 years Data Migration experience Proficiency in project management
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
economies to thrive are in the market for a Data Scientist with a specialist skill set. is to create and facilitate appropriate access to data for key stakeholders and creating visibility for routine data cleaning and analysis tasks
lead a team of analytics professionals to deliver data-driven insights and innovative solutions to our manage project risks. Ensure the effective use of data analytics tools and methodologies to deliver actionable best practices for data management, analysis, and reporting. Implement and oversee data governance policies policies to ensure data integrity and security. Continuously improve analytics processes to enhance efficiency effectiveness. Qualifications Education: Master's degree in Data Science, Statistics, Computer Science, Business