Senior Business Systems Analyst

Posted 15 days agoViewed
United StatesFull-TimeAI Professional Services
Company:JustAnswer
Location:United States, EST, PST
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
PythonSQLAgileArtificial IntelligenceBusiness AnalysisData AnalysisMachine LearningGoogle AnalyticsJiraDocumentationComplianceA/B testing
Requirements:
5+ years of experience in Business Systems Analysis and/or database analysis. Ability to query, analyze, and troubleshoot datasets using SQL. Experience with agile software development. Hands-on use of AI tools within analytics or data engineering workflows. Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript). Strong knowledge of Experimentation methodology/platforms. Understanding of documentation standards, lineage, data quality audits, and governance processes. Conceptual thinking, analytical, and problem-solving skills. Strong communication skills with proven experience collaborating cross-functionally. Desire and ability to lead, advocate for features, and make data-driven recommendations. Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects. English proficiency (at least strong upper-intermediate level).
Responsibilities:
Evaluate and pilot AI tools and design future enhancements. Define adoption metrics and collect user feedback for AI tools. Create enablement materials for AI-driven workflows. Support A/B testing frameworks and validate experiment configurations. Partner with teams to improve experimentation workflows. Recommend tooling enhancements for experiment lifecycle. Evaluate and design enhancements for data platform offerings. Promote adoption of OpenMetadata and improve metadata coverage. Design and track AI readiness metrics. Enforce data standards and governance. Review data quality audits and communicate results. Maintain data health scorecards and identify issues. Collaborate to prioritize and resolve data quality issues. Translate regulatory obligations into system requirements. Work with Legal, Security, and Data Engineering on compliance. Document workflows and maintain audit artifacts.
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