SQL technologies and a special focus on financial data reporting and analytics . This role involves working experience in BI Development, ETL, Analysis Services, and data warehousing within a Microsoft environment. Required experience in BI development and data warehousing with a focus on financial data. Strong analytical skills and Experience with financial systems and understanding their data and reporting frameworks. Knowledge of financial and Power BI solutions to meet specific financial data reporting and analysis requirements. BI Development:
Reference: JHB009406-BG-1 AWS Data Engineer ESSENTIAL SKILLS REQUIREMENTS: Exceptional experience/understanding Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash Experience in working with Enterprise Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc. Experience working with Data Quality complex data sets. - Perform thorough testing and data validation to ensure the accuracy of data transformations building data pipeline using AWS Glue or Data Pipeline, or similar platforms. - Familiar with data store
understanding of data modelling and data visualisation concepts Experience with SQL for data manipulation Knowledge of Data Analysis Expressions (DAX) for creating calculations Familiarity with data warehouse concepts maintain Power BI dashboards and reports Perform data extraction, transformation, and loading (ETL) processes run DAX queries and functions Create charts and data documentation with explanations of algorithms, parameters parameters, models, and relationships Construct a data warehouse Use SQL queries to get the best results
financial reports, utilise advanced features for data visualisation and analysis. Automate processes using to enhance reporting capabilities and streamline data retrieval processes. Minimum Requirements Bachelors BI Analytics. Data Analysis experience essential. Process Automation experience. Data Visualisation tools to enhance reporting capabilities and streamline data retrieval processes.
Reporting Create best-practice reports based on data mining, analysis, and visualisation Prepare, analyse visualisations through data interpretation and integrating various reporting components for multiple data sources Analysis Analysis Interpret data and analyse results based on KPI's Proactively analyse data to answer key questions protocols for handling, processing and cleaning data Support Participate in regular meetings with management and management, analysing and interpreting store data Work closely with project lead to understand and
Reporting Create best-practice reports based on data mining, analysis, and visualisation Prepare, analyse visualisations through data interpretation and integrating various reporting components for multiple data sources Analysis Analysis Interpret data and analyse results based on KPI's Proactively analyse data to answer key questions protocols for handling, processing and cleaning data Support Participate in regular meetings with management and management, analysing and interpreting store data Work closely with project lead to understand and
reusable code.
Cash Ups Weekly Management Meetings Assist with capturing of Stock takes Creditors Reconciliations &
Cash Ups Weekly Management Meetings Assist with capturing of Stock takes Creditors Reconciliations &
require pre-authorisation and attend to the request. Capture clinical information and verify the information