1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
English speaking technical thinkers with a passion for data management and someone who is interested in working Junior Data Capturer and Backoffice Assistant Reporting Live Data Capturing & Optimizing Data. Analysis Performance. Microsoft Excel/Google Sheets Processes. Data experience in SQL is a bonus What we can offer you: education on the financial markets. The post CRM / DATA / ADMIN appeared first on freerecruit.co.za .
opportunity for a Data Analyst / Data Scientist in a Sage X3 ERP environment. Data gathering, cleansing cleansing, analysis, presentations Data interpretation Data Visualisation Descision support Report writing charge organisation with valuable insights into data resources Min Qualifications – Degree in Maths /
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract be fully vaccinated. The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever solution. Analyse, interpret and display data sets to ensure data-driven solutions that address challenges
The Data Analyst/Engineer will be responsible for analysing and understanding the requirements related management and translating these into actionable data-driven insights and solutions. General Information and maintain data warehouses using SSIS and other data warehousing concepts. Transition data solutions to Azure, and leverage Azure Data Factory when applicable Understand and implement data warehousing designs including experience required. Relevant BCom Degree. Experience in data analysis and engineering, particularly in the banking
is seeking a motivated and detail-oriented Junior Data Engineer to join our dynamic team in Kempton Park for a junior professional to grow their career in data engineering. The ideal candidate will have experience
What you’ll do:
Data Integration ETL Development:
Database
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract fully vaccinated.
The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever
bottlenecks, reducing manual data intervention, avoiding unnecessary data capture and/or work effort duplication support. Documentation throughout all project phases, data migration strategy and execution, project go-live
extensive exp in data migration, integration, and ETL processes. Exp with SQL, NoSQL data storage, Snowflake Apache Spark. Exp with cloud-based data platforms (AWS, GCP, Azure). Data architecture, governance, quality integrations. Craft data models and schemas tailored to meet business objectives. Data storage solutions solutions, including relational databases, data warehouses, data lakes, and MS SQL databases. The post Database