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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical business analysis, data analysis, and data platform roles, with a strong focus on translating business requirements into technical specifications and ensuring data quality and accuracy. Proficient in leveraging AI-enabled tools for requirements development and collaborating effectively with stakeholders across various initiatives.
Highest-signal resume keywords
Technical Business AnalysisData AnalysisAI-Enabled ToolsSQL ProficiencyData Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with business stakeholders on goals, constraints, and success criteria, proposing solution options and tradeoffs
- Facilitate discovery and design sessions as a subject matter expert in business processes and data
- Surface risks, dependencies, and downstream impacts
- Contribute to roadmap planning with Product Management and coordinate change activities
- Document requirements for data processes, platform capabilities, and APIs
- Translate business goals into user stories, functional and non-functional specifications, technical specifications, and testable acceptance criteria
- Leverage AI-enabled tools for requirements development and business process documentation while owning output accuracy, completeness, and traceability
- Perform exploratory data analysis and collaborate on data modeling and schema design
- Develop source-to-target data mappings, transformation rules, and definitions with human review
- Identify data quality, lineage, availability, and AI/analytics data-readiness needs
- Author and refine user stories, acceptance criteria, and specifications
- Participate in Scrum ceremonies and provide scope, dependency, and readiness input
- Maintain traceability from business intent through release in line with AIDLC where applicable
- Validate acceptance criteria and delivered work against business intent and data accuracy
- Support UAT, release planning, and post-deployment validation
- Validate AI-assisted output for accuracy, completeness, and sensitive-data handling
- Troubleshoot and triage data and platform issues, analyze discrepancies, and isolate likely root causes
- Maintain requirements, data definitions, mappings, and diagrams documentation
- Help evolve technical business analyst standards, templates, and AI-enabled practices
Requirements
What you’ll need- Bachelor’s degree preferred or equivalent work experience
- 5+ years of experience in technical business analysis, data analysis, or data platform roles, including exposure to data management and application components
- Consultative, product-oriented mindset and creative problem solver who shapes solutions, influences stakeholders, and breaks complex problems into detailed requirements and user stories
- Ability to translate business requirements into technical and non-functional specifications, including performance, security, compliance, and data quality, for data platform, analytics, or integration initiatives
- Experience leveraging AI-enabled tools for requirements development, business process development, data mapping, and troubleshooting and triage, with judgment to validate AI-generated output
- Working knowledge of data modeling, schema design, ETL/ELT, and API integration
- Proficiency in SQL against databases such as PostgreSQL or MySQL
- Practical experience with SDLC and Scrum methodology
- Exceptional attention to detail, organization, quality, and accuracy
- Excellent time management, ability to meet deadlines, and ability to multitask across initiatives
- Strong written and verbal communication for technical and non-technical audiences
- Ability to work independently and collaborate effectively as part of a team
- Preferred: experience with AI Engineering or data science teams in AI and traditional engineering environments; familiarity with AIDLC
- Preferred: familiarity with AWS cloud services and data warehouse/data lake structures
- Preferred: exposure to data governance, data quality, lineage, or metadata management practices
- Preferred: proficiency with Jira, Confluence, Azure DevOps, Teams, and diagramming tools
- Preferred: payments or FinTech domain experience
Benefits
Comp & perks- Occasional travel may be required
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MappingETL/ELTAPI IntegrationData QualitySchema DesignUser Story DevelopmentAcceptance Criteria ValidationExploratory Data AnalysisRequirements DocumentationData Transformation Rules
Soft Skills
Creative Problem SolvingAttention to DetailTime ManagementEffective CommunicationCollaboration
Tools & Technologies
JiraConfluenceAzure DevOpsAWS Cloud ServicesDiagramming Tools
Industry Keywords
Data GovernanceData LineageFinTechAIDLCData WarehouseData Lake