Senior Data Analyst

· Reports into [hiring manager / department]; works closely with our one data scientist.

· The data scientist owns data ingestion, Databricks pipelines, and machine learning. This hire owns everything downstream: curated datasets, metric definitions, Tableau, and AI-driven insight delivery.

· 5+ years in analytics, BI, or data science

· Advanced Tableau (dashboards, data modeling, performance)

· Strong SQL and data modeling

· Working Python for automation, integrations, and analysis

· Comfort with version control, APIs, and reading and debugging code (generated or hand-written)

· Hands-on experience with AI tools (LLM APIs, prompt design, or agent workflows)

· Strong communication with executives and business teams

Nice-to-haves

· Databricks (SQL, notebooks) or similar cloud data platforms

· MCP or other tool-connection standards

· Tableau Cloud, Pulse, or Next; Salesforce or CRM analytics

· Slackbot, Slack workflows, or building agents in Slack

· Experience testing or evaluating AI output for accuracy

What this person will actually do:

· Build dashboards and define governed KPIs

· Build agent skills, tasks, and workflows that answer business questions from governed data

· Deliver alerts and insights in Slack

· Test agent accuracy and monitor it over time