Data Analyst /Data Modeler
Exusia
- South Africa
- Permanent
- Full-time
- Have a minimum of 4 years of experience working as a Data Analyst and Data Modeler
- Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas.
- Experience working in an agile software delivery model is required.
- Prior data modelling experience is mandatory preferably for DWH/Data marts
- Self-motivated and proactive in a fast-paced environment.
- Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies
- Own and Lead Data Analysis and data modeling activities
- Discuss & document data and analytics requirements with cross functional teams and business stakeholders.
- Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models
- Data profiling and cleaning data for data analysis. Interpret data, analyze results, prepare data analysis reports.
- Perform Data validation and testing to certify data
- Collect, analyze and disseminate significant amounts of information to project team & business stakeholders.
- Manage changing priorities during the software development lifecycle (SDLC)
- Able to create Logical and Conceptual data models for business and functional users
- Understanding of ER and Dimensional modeling techniques like Star, Snowflake or Constellation
- Hands on experience in implementing Star Schema and Relational (Normalized including 3NF) models is mandatory
- Should have implemented physical data models for a variety of RDBMS and cloud hosted databases
- Strong understanding of different types of facts and dimensions
- Hands on experience with data modeling tools like Erwin, ER Studio, InfoSphere Data Architect (IDA)
- Strong SQL or python skills for carrying out data analysis and data profiling
- Transforming business/functional requirements into technical specifications.
- Capturing data mapping / data transformation and business rules logic using source to target mapping templates
- Hands-on exposure to SQL and NoSQL databases and able to write pseudo-code for ETL requirements.
- Data validation and testing using SQL or any tool-based testing methods
- Reporting/Visualization tool experience - PowerBI
- Azure Certification relevant for Data Engineering/Analytics
- Experience and knowledge of one or more domains within Banking and Financial Services
- Exposure to scrum master or product owner role will be desirable
- Knowledge of data processing / ETL using Ab Initio / SAS / ADF /Azure Databricks
- Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
- Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects.