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Generalist Data Analyst title, metro location, and mid-level expectations increase applicant competition.
Core data and business-analysis skills transfer across industries, though cloud/DevOps context adds moderate specificity.
Requires domain-specific data analysis, SQL, and documentation skills but has no rigid years or certifications.
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Analyze current and future data structures and produce high-quality mapping documentation to support integration design.
Write detailed, testable user stories with acceptance criteria to guide development and support test automation, particularly in hybrid cloud environments.
Conduct detailed business process and data analysis to define volumetric requirements, capacity models, and operational needs aligned to business value.
Experience as a data/business analyst working directly with software engineers and business SMEs in an agile environment, preferably within a DevOps model.
Proven ability to produce detailed data mapping documentation including data cleansing and transformation criteria.
Proficiency with Atlassian tools (Jira, Confluence) and SQL.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in supporting development teams and testers by creating test scenarios and automating tests using BDD/TDD or similar frameworks.
Skilled in conducting workshops and gathering detailed requirements effectively.
Familiarity with hybrid cloud environments and ability to write user stories fitting cloud readiness criteria for Private and Public clouds (e.g., AWS, Azure) is a plus.