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Generalist Data Analyst title, metro location and broad skill requirements increase competition.
Low because core analytical, SQL and documentation skills are broadly transferable across industries.
Moderate because specific data-mapping, SQL and agile skills are required but no strict years or certifications.
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Analyze and map current data structures to new data models to support integration and system feature identification.
Write high-quality, testable user stories with detailed acceptance and exception criteria for hybrid cloud environments.
Collaborate with developers and testers to support test automation and ensure business value is delivered through requirements and operational analysis.
Experience as a data/business analyst working with software engineers and business SMEs in an agile and DevOps environment.
Proven ability to produce detailed data mapping documentation including data cleansing and transformation criteria.
Experience writing user stories with acceptance criteria and supporting BDD/TDD test automation.
Experience with Atlassian tools like Jira and Confluence and SQL.
Experienced in running workshops and requirements gathering sessions with cross-functional teams.
Comfortable working in hybrid cloud environments and collaborating closely with development and testing teams.
Familiarity or experience with domain-driven development and cloud platforms (AWS, Azure) is a plus.