looking for an experienced Credit Data Analyst who:
The successful individual needs and improve business decisions, substantiated by data driven analyses.
Microsoft SQL Server, SSIS, SSAS, Power BI, Azure Data Factory, Azure Fabric, and TimeXTender.
proficient, need to be comfortable to work with data & analyse data.
and automating processes, building scorecards, and data mining.
DUTIES
Statistics / Actuarial Science / BMI
seeking a Project Manager L3 - Infrastructure & Data Centre Specialist to join their team in Sandton Division related to a move of infrastructure between Data Centres. Knowledge, Skills and Attributes: Strong Technical Documents Project Manager, Infrastructure, Data Centre Specialist, Application Hosting, Agile
The Data Scientist will support the Data Science and Analytics team in creating and enabling data-driven to business areas by providing insights, applying data science to inform and optimise decision making and challenges. The role requires involvement in the whole data science development process of gaining a business business understanding, defining the problem, data cleansing and feature engineering, business modelling and business solutions. Identify and test innovative data science techniques that can be utilised in predictive
Senior Analyst in Data and Analytics with 3 years of developing and managing data products from ingestion ingestion to operations as well as experience supporting data analytics solutions. Must have 3 years experience using Azure platform for Data and Analytics products specially focused in Data Services : CosmosDB, DynamoDB managing data products from ingestion to operations. 3 years of experience supporting data analytics analytics solutions. 3 years of experience in data storytelling and data visualization using tools like PowerBI
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
Senior Analyst in Data and Analytics with 3 years of developing and managing data products from ingestion ingestion to operations as well as experience supporting data analytics solutions. Must have 3 years experience using Azure platform for Data and Analytics products specially focused in Data Services : CosmosDB, DynamoDB managing data products from ingestion to operations. 3 years of experience supporting data analytics analytics solutions. 3 years of experience in data storytelling and data visualization using tools like PowerBI
for a Senior Data Engineer with 5 years lead analysts to design, build, and implement data and analytics managing data products from ingestion to operations. 5 years of experience supporting data analytics Demonstrated proficiency in using Azure platform for Data and Analytics products Working knowledge of Agile (Scrum, Kanban) 5 years of experience in data storytelling and data visualization using tools like PowerBI Analytics. You will be required to: Manage and lead Data and Analytics analysts delivery ensuring that they