Azure Data Analyst
3 weeks ago
Position Summary:
We are seeking a skilled Business Systems Analyst with a strong focus on data analytics and integration within an agile framework. The ideal candidate will possess a robust background in data management and analytics tools, specifically within the Azure ecosystem.
Key Responsibilities:
- Possess 6-8 years of experience in business systems analysis, particularly in data analytics, data warehousing, and data integration.
- Proficient in Azure technologies including Data Lake, Azure Data Factory, DataBricks, Python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, and Power BI.
- Demonstrated expertise in conceptual, logical, and physical data modeling methodologies.
- Extensive experience in data analysis, profiling, cleansing, wrangling, and validation processes.
- Hands-on experience in developing data quality checks and executing complex SQL queries.
- Involvement in large-scale Enterprise Data Lake ingestion and extraction initiatives.
- Familiarity with project management tools such as Jira, Confluence, and Bitbucket.
- Strong understanding of metadata management principles, including metadata modeling and the creation of metadata definitions.
- Comprehensive knowledge of data security classifications and risk assessment guidelines.
- Experience in analyzing and estimating system applications within a large integrated solution framework.
- Proven track record in all phases of automated system implementation for complex solutions, including both online and batch transaction processing.
- Experience in facilitating sprints, translating business requirements into technical specifications, and leading project review meetings.
- Experience in supporting legacy systems, including Mainframe and other on-premises applications, as well as migrating legacy solutions using commercial off-the-shelf products.
- Expertise in current state analysis through reverse engineering, identifying source and downstream systems.
- Experience in conducting feasibility studies, project scoping, and providing accurate project estimates.
- Proficient in requirements development, including elicitation, analysis, specification, and validation.
- Skilled in documenting user stories, managing product backlogs, planning sprints, and implementing iterative processes.
- Hands-on experience in capturing data lineage and mapping data between source and target systems.
- Experience in production support, investigating issues, and proposing effective solutions.
- Preferred certifications: AZ-900/DP-900.
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