Senior Data Analyst, Analytics Engineering

Senior Data Analyst will bridge the gap between raw data and business value by designing and maintaining trusted data models that power critical decisions across clinical outcomes and P&L.

Requirements

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related field)
• 3-5 years of experience in delivering analytics across the data pipeline
• Proven track record building end-to-end data transformations for business stakeholders
• Direct experience using DBT and cloud-based warehousing (e.g., Snowflake, BigQuery, or Redshift)
• Advanced proficiency in SQL with a track record of working with legacy logic and migrating it to a standardized framework
• Excellent communication, presentation, and facilitation skills
• Familiarity with AWS cloud architectures

Benefits

• Competitive benefits package
• Discretionary performance bonus
• Equity options

Originally posted on Himalayas