About the role
Role Summary
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.
Day-to-Day Responsibilities
- 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
Required Skills
- Snowflake experience
- Strong SQL / query-writing ability
- 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
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