Senior Data Analyst

Daymark Health•Boston, MA

3h•$90,000 - $120,000

About The Position

As a Senior Data Analyst at Daymark Health, you will sit at the center of how data is translated into action across the organization. You will partner closely with Clinical Operations, Finance, and Partnerships to ensure the right data is modeled, transformed, and surfaced in ways that directly support patient care, operational execution, and value-based performance. This is a highly cross-functional, hands-on role ideal for someone who enjoys building from the ground up: moving the organization from spreadsheets toward scalable, trusted dashboards and analytics products. You’ll work within Daymark’s modern data stack (Snowflake, dbt, AWS) and collaborate closely with teammates across data engineering and analytics to turn complex healthcare data into usable insight.

Requirements

3+ years of experience in data analytics, business intelligence, or analytics engineering working with healthcare data (e.g., claims, clinical, operational, outcomes, or financial data).
Advanced SQL and Python skills with experience transforming and modeling data in a cloud data warehouse (Snowflake or similar).
Hands-on experience with modern analytics tooling (dbt, BI/dashboarding tools, cloud data platforms) and visualization (Sigma, Power BI, Tableau, etc).
Experience working cross-functionally with non-technical stakeholders and translating questions into clear analytical outputs.
You can clearly explain insights to both technical and non-technical audiences.
You care about rigor, but you’re pragmatic about iteration.
You thrive in cross-functional environments and enjoy building alongside others.
You’ve succeeded in fast-moving, scaling organizations where clarity is built over time.

Nice To Haves

Oncology or value-based care experience is a plus, but not required.

Responsibilities

Supported core financial and operational reporting, partnering with Finance and Clinical Ops to ensure accuracy, clarity, and consistency.
Collaborated with Data Engineering teammates to build and transform analytics-ready tables in Snowflake, supporting downstream reporting and analysis.
Begun surfacing Help surface key clinical operations insights that help care teams understand patient engagement, utilization, and early outcomes.
Translated existing spreadsheet-based reporting into repeatable dashboards for internal stakeholders.
Owned the development of dashboards and reports used by Clinical Operations to track engaged patient populations, care delivery metrics, and outcomes over time.
Delivered partnership-specific reporting (e.g., payer partners such as BCBSRI), clearly delineating performance, outcomes, and utilization by contract.
Partnered with cross-functional leaders to iterate on metrics definitions and ensure data is decision-ready, not just technically correct.
Established a repeatable approach to analytics that balances rigor with speed, enabling rapid iteration as the business scales.
Become a trusted analytics partner across Clinical Ops, Finance, and Partnerships — proactively identifying insights and opportunities to improve outcomes and operations.
Helped mature Daymark’s analytics foundation by improving documentation, metric consistency, and data quality standards.
Contributed to longer-term analytics strategy, including how advanced tooling and AI-enabled analysis can enhance insight generation.