Data Analyst

We're looking for a Data Analyst who can bridge business and technical teams — someone who can translate business questions into data requirements, track down the right data across a fragmented ecosystem, and help establish a single source of truth across a handful of core data sets. This is not a heavy engineering role; the emphasis is on analysis, communication, and organizational savvy over deep technical skill.

• Function primarily as a business analyst — translating business needs into clear data requirements, not just building UI/dashboards
• Identify and work with 4-5 key data sets, consolidating them into a data mart / single source of truth
• Write queries to investigate and clean up noisy data
• Partner with business stakeholders to understand what they're seeing in the data, then work with other teams/data owners to gain access to additional data sources as needed
• Track down data across a fragmented ecosystem (data lives in multiple systems/teams) and make sense of it for the business
• Own the process of finding and integrating the right data yourself — rather than submitting a request and waiting on another team to hand it off
• Operate in a full Agile/Scrum environment
• Apply critical thinking and work autonomously

• Snowflake experience
• Business analysis skills — ability to translate business needs into data/technical requirements
• Strong communication skills (this role leans more on analysis/communication than deep technical build)
• Organizational skills — able to navigate a complex, multi-team data ecosystem and know which technical team to approach for what
• General technology awareness (e.g., high-level understanding of chatbot/AI capabilities — not expected to build them)
• Comfort with ambiguity and critical thinking; ability to work independently