Data Analyst

Responsibilities: The Data Analyst will develop reports, dashboards, and visualizations to monitor performance and provide actionable insights for company leaders. They will also integrate AI tools into workflows and collaborate with data engineers to ensure data quality and accuracy.

Requirements: Candidates need 3-5 years of data analysis experience with proficiency in SQL and modern BI tools. Experience using AI assistants for coding and documentation is required, while dbt, Python, and forecasting model experience are preferred.

Key skills: SQL, Data Visualization, Business Intelligence Tools, AI Tool Integration, Data Cleaning, Data Analysis, Reporting, Stakeholder Communication, Data Documentation, Analytical Thinking, Attention To Detail, Forecasting Models, Python, Git, dbt, Data Transformation

Keywords: SQL, Omni, ThoughtSpot, Looker, Tableau, Fivetran, Snowflake, dbt, Hightouch, AI, ChatGPT, Claude, GitHub Copilot, Python, Git, Forecasting, Moving Averages, Exponential Smoothing, Prophet, Customer Success Analytics, Data Transformation, BI Tools, Data Analysis, Care Infrastructure, Healthcare Tech