Senior Data Analyst

Responsibilities:

• Gather client business requirements to build and maintain end-to-end data reporting pipelines and visual dashboards.
• Maintain and improve our existing tools and processes with statistical methods and machine learning.
• Knowledge of data management and business intelligence methodologies.
• The ability to work to project deadlines efficiently.
• Ability to lead project deliverables and manage direct client communications.
• Collaborate closely with the Sr. Data Engineer to build and maintain AWS/Redshift-based data pipelines.
• Comfort working in an ambiguous, fast-moving startup environment with evolving processes.
• Bridge technical pipeline work with client-facing reporting and insights.

Requirements:

• Advanced knowledge of Excel, Power BI, and Tableau.
• B. Tech or technical degree with 4+ years of experience, including 4+ years of hands-on AWS, SQL, and Python expertise.
• Writing reusable code and preparing automation for future analyses and QA.
• Advanced prompt engineering and LLM coding.
• High level of numerical accuracy and comfort working with large data sets.
• Prior experience with finance and pricing analytics.
• An interest or experience in healthcare and medical sectors with a focus on pricing is a strong plus.
• Proficiency with Git/GitHub for version control and collaborative development.
• Data validation, reconciliation, and audit-trail practices for high-stakes data.