Senior Analyst, Operations Automation

Required

• 2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role.
• Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query.
• Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it.
• Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions.
• Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication.
• Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote.
• Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on.
• Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap.
• Clear written and verbal communication. You can write a one-pager someone reads once and understands.
• High intellectual curiosity and an AI-first approach to your own work.