Business and Data Analyst

Onsite/hybrid - 3days a week - No Remote

US Citizens or GC Holders only

Must be on W2 (Direct - Hire) - no C2C

Business and Data Analyst within Engineering in a hybrid work arrangement. This highly technical role connects business requirements with data analysis and software platform needs. The role requires experience with SaaS platforms business intelligence and analytics generative AI-related data information security and data modeling in a SQL database environment.
What youll do

• Partner with business and engineering stakeholders to define document and validate business requirements and acceptance criteria.
• Translate business needs into clear analytical requirements data definitions and specifications for SaaS platform capabilities.
• Analyze complex datasets to identify trends investigate issues and communicate actionable findings.
• Define business metrics and reporting requirements that support consistent reliable decision-making.
• Develop and validate data models in a SQL database environment considering data integrity relationships and analytical needs.
• Clarify data requirements for generative AI use cases including quality provenance and appropriate handling of generated data.
• Incorporate information security considerations into requirements data access and analytical workflows.
• Support solution validation by tracing delivered functionality and analytical outputs back to agreed requirements.

What youll bring

• Senior-level experience in a highly technical business and data analysis role.
• Experience working with SaaS software platforms and collaborating with engineering teams.
• Strong business requirements elicitation documentation prioritization and validation skills.
• Strong SQL proficiency and practical experience with relational data modeling.
• Experience defining business intelligence requirements developing metrics and interpreting analytical results.
• Experience with data used in or generated by generative AI applications.
• Knowledge of information security principles as they apply to data access protection and handling.
• Ability to explain technical concepts clearly resolve ambiguity and align technical and nontechnical stakeholders.

Nice to have

• Experience establishing shared metric definitions data quality checks or data governance practices.
• Experience evaluating the quality and limitations of AI-generated data.
• Experience leading cross-functional requirements discussions and helping other analysts improve their work.

Priorities
Strong hands-on technical depth combined with clear business requirements definition. The hiring team needs someone who can connect SaaS platform behavior data models analytics generative AI data needs and information security considerations while communicating effectively across business and engineering.
Disqualifiers
No demonstrated senior-level technical analysis experience; inability to perform hands-on SQL analysis or explain relational data modeling; no relevant SaaS platform experience; or material gaps in the stated requirements for BI and analytics generative AI-related data or information security.

Required Experience:

IC