Business and Data Analyst

The Timberline Group • Boulder, CO

2d • Hybrid

About The Position

This senior-level, highly technical Business and Data Analyst role sits within Engineering and connects business requirements with data analysis and software platform needs. The analyst works with SaaS platforms, business intelligence and analytics, generative AI-related data, information security, and data modeling in a SQL database environment. The position is described as hybrid, with three onsite days per week.

Requirements

• 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 Haves

• 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.

Responsibilities

• Partner with business and engineering stakeholders to define, document, and validate business requirements and acceptance criteria.
• Translate business needs into 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed