Senior Data Analyst - Remote Health Insights

Socket.dev; New York (NY); Hybrid; USD 60,000 - 75,000; Full time

Benefits offered by this job

Health insurance

PTO & wellness holidays

Retirement options

Stipends for health & charity

Flexible hours

Work from anywhere

Equity (RSUs)

Job summary

H1 is seeking a Senior Data Analyst to bridge Commercial stakeholders and data teams, translating business needs into precise technical data requirements and delivering scalable analytics across large healthcare datasets.

The role involves writing optimized SQL, using Python (pandas, NumPy) for automation, performing rigorous QA, and presenting clear insights to technical and non‑technical audiences; you will also collaborate with Operations, Strategy, and Data Engineering and manage multiple

Qualifications

• 3–5 years of professional experience in data analytics or business intelligence.
• Expert-level SQL proficiency - complex joins, CTEs, window functions, subqueries, and performance optimization across large datasets.
• Hands-on Python experience (pandas, NumPy) for data manipulation, automation, validation, and analytical scripting.
• Proficiency with AWS Athena or comparable cloud data warehouse (Snowflake, BigQuery, Redshift).
• Ability to translate ambiguous business requirements into clear, executable technical data specifications.
• Strong data quality instincts - end-to-end QA and validation on high-stakes deliverables.
• Excellent communication skills to explain complex findings to non-technical stakeholders.
• Experience supporting pre-sales, RFP responses, or client-facing data deliverables.
• Nice to have: BI dashboards using Power BI, Tableau, or Looker.

Responsibilities

• Partner with Commercial, Sales, and Business stakeholders to gather and translate requirements into technical data specs.
• Write and optimize SQL queries to extract and transform large datasets from cloud environments.
• Use Python to automate data workflows, build reusable scripts, and validate data outputs.
• Perform rigorous QA and validation to ensure accuracy, completeness, and consistency.
• Translate analytical findings into clear, concise insights for technical and non-technical audiences.
• Manage multiple concurrent data requests and prioritize in a fast-paced setting.
• Support pre-sales and RFP activities with accurate data deliverables.
• Collaborate with Operations, Strategy, and Data Engineering on data availability and definitions.
• Own deliverables and address data gaps with minimal supervision.
• Contribute to analytics best practices and self-service reporting.

Skills

SQL

Python

AWS Athena

Data QA

Tools

Snowflake

BigQuery

Redshift

Power BI

Tableau

Looker

Job description

H1 is seeking a Senior Data Analyst to bridge Commercial stakeholders and data teams, translating business needs into precise technical data requirements and delivering scalable analytics across large healthcare datasets.

The role involves writing optimized SQL, using Python (pandas, NumPy) for automation, performing rigorous QA, and presenting clear insights to technical and non‑technical audiences; you will also collaborate with Operations, Strategy, and Data Engineering and manage multiple