Data Migration Analyst
3 weeks ago
The Data Migration Analyst is responsible for performing data analysis of existing data structures and relational databases, data formats, primary and secondary keys, data relations, data transformation rules, and technical transformation scripts. This role involves validating data and identifying anomalies, as well as detailed data migration tasks to support the transformation project.
Key Responsibilities:- Undertake data migration analysis, design, and implementation, including test and verification of migrated data.
- Collect and prepare data from various sources, including reports, lists, custom queries, data extraction, and relational databases.
- Explore datasets to understand their characteristics, distributions, and relationships between variables, and establish the as-is data dictionary.
- Develop technical data migration scripts and tools.
- Perform data cleaning activities, including defining validation rules, validation routines, and monitoring data quality.
- Support data transformation routings as part of data migration.
- Test data migration processes and maintain environment.
- Maintain adequate data documentation and data dictionary.
- Support Flourish Australia's Monitoring and Evaluation Framework, including creating data reports and visualizations that achieve the framework's objectives.
- Prepare and inject sample data to support project testing phases and business scenarios.
An ideal candidate will have strong skills in data analytics and data visualization, demonstrated experience using Azure Data Factory for ETL transformations and verifying data accuracy, and sound written and verbal communication skills. The candidate should be able to form effective working relationships internally and externally to deliver key priorities in a collaborative manner.
Selection Criteria:- Qualifications in a relevant field of study or equivalent work experience as recognized by Flourish Australia.
- A minimum of 3 years of proven experience in data migration activities, such as data identification, monitoring, management, ETL transformation, verification, and reporting, utilizing tools like Azure Data Factory and equivalent software.
- Advanced technical skills using analytical tools such as SQL, Python, SPSS, and Excel.
- Sound communication skills, including the ability to write reports and present to staff.
- Demonstrated ability to work collaboratively and autonomously with internal and external stakeholders, with the capability to build and maintain positive working relationships.
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