Senior Data Analyst - Operations

The Job

The Senior Data Analyst is responsible for designing, developing, and maintaining data-driven analytic solutions that support operational and strategic decision-making. This role partners closely with business leaders to transform complex healthcare claims data into actionable insights, compelling visualizations, and executive-level reporting that improve operational performance, member outcomes, and business results.

Qualifications

• Minimum 5 years of Healthcare Analytics, Claims Analytics, Payor, or Health Plan Operations experience.
• Minimum 5 years of hands-on experience with: SQL, Power BI, Snowflake and Python.
• Experience working with QNXT claims administration systems.
• Experience with Databricks.
• Experience with Business Process Documentation.
• Experience developing applications using Streamlit.
• Experience leveraging AI-powered analytics, machine learning, natural language interfaces, or generative AI solutions.
• Experience with querying and manipulating data structures in on-premises or cloud data warehouses (SQL, Snowflake, Databricks), as well as report creation and data visualization tools such as SSRS, Tableau, Power BI, etc.
• Experience with Streamlit, Databrick Genie, Cortex Code, Alteryx and Python is preferred.
• Advanced SQL development and data analysis skills.
• Strong experience with Snowflake data platforms and cloud-based analytics environments.
• Advanced Power BI dashboard development, data modeling, and visualization skills.
• Proficiency in Python for data analysis, automation, and reporting.
• Understanding of healthcare claims lifecycle, operations, and performance metrics.
• Strong knowledge of modern data architecture, semantic modeling, and KPI governance concepts.

Communication & Leadership Skills

• Excellent verbal, written, and presentation skills.
• Able to communicate technical concepts to non-technical audiences.
• Strong executive presence and ability to interact effectively with senior leaders.
• Able to facilitate discussions, gather requirements, and influence business decisions through data-driven recommendations.
• Strong consulting and stakeholder management skills.

Storytelling & Innovation

• Demonstrated ability to create compelling narratives from data and translate analytics into actionable business insights.
• Strong eye for visualization design, user experience, and executive dashboard development.
• Passion for working in an AI-forward and innovation-focused environment.
• Self-starter with a growth mindset and proven ability to independently learn and adopt new technologies, AI tools, and analytics platforms.
• Intellectual curiosity and enthusiasm for continuous improvement and emerging technologies.