Manager, Clinical Operations Analytics

Tuesday Health, LLC; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Tuesday Health, LLC seeks a Manager, Clinical Operations Analytics to drive data-driven insights that enhance clinical and operational excellence. The role involves developing business intelligence solutions, ensuring data quality across healthcare datasets, and fostering a data-driven decision-making culture. Candidates should possess strong SQL skills and experience in healthcare analytics.

Qualifications

• Strong proficiency in SQL and BI tools like Tableau or PowerBI.
• 5+ years in healthcare analytics, leading analytics projects required.
• Ability to deliver quality, error-free work.

Responsibilities

• Define and prioritize analytic needs with operational stakeholders.
• Develop business intelligence solutions and perform adhoc analyses.
• Ensure data architecture aligns with business goals.

Skills

SQL

Data storytelling

Analytical thinking

Healthcare analytics

Business intelligence

Education

5+ years of experience in healthcare analytics

Tools

Tableau

Looker

PowerBI

Job description

Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. We deliver goal-centered care focused on alleviating physical symptoms and emotional stress for individuals and their caregivers. Our interdisciplinary care teams reduce avoidable hospitalizations and improve quality of life wherever individuals call home. Through our leading-edge care model, Tuesday Health is shaping the future of community-based palliative care nationwide.

About the role

The Manager, Clinical Operations Analytics will lead the development and delivery of data-driven insights that power clinical and operational excellence. They will collaborate with cross-functional teams to define and prioritize analytic needs, develop business intelligence solutions, and drive data quality across a variety of complex healthcare datasets. The Manager, Clinical Operations Analytics will design scalable data models, support customer-facing analytics (including SLA tracking and impact reporting), and ensure our data architecture enables self-service and aligns with business objectives. This role is key to transforming data into action that improves outcomes for members, providers, and partners.

What you'll do

• Define and prioritize analytic needs with operational stakeholders (e.g. clinical delivery, member/provider engagement).
• Develop business intelligence solutions and perform adhoc analyses using a variety of datasets including client medical/pharmacy claims, ADT/HIE, FHIR, our internal care management system (Elevate), and other SaaS tools leveraged by the business (HubSpot, Zoom).
• Support customer-facing analytics and reporting including summarizing Tuesday Health impact, preparing materials for JOCs, and measuring attainment of SLAs.
• Design and build/maintain scalable, well-documented data models with Analytics Engineering that power operational dashboards, customer reporting, and internal analytics.
• Ensure data architecture aligns with business goals and supports self-service analytics across teams.
• Own data quality across key reporting and analytics pipelines, including interrogating data anomalies, surfacing issues proactively, and partnering cross-functionally (e.g. with product, engineering, and clinical/engagement teams) to identify root causes and mitigate downstream reporting impacts — such as those resulting from product changes or evolving data sources.

Qualifications

• Be passionate about improving healthcare and Tuesday Health’s mission
• Be able to tell stories with data
• Be comfortable in a fluid, fast-changing environment
• Ability to create professional, polished and visually compelling PowerPoint presentations
• Be intellectually curious
• Balance deriving insights with building tidy, scalable, and well-designed solutions
• Foster a culture of data-driven decision making and data self-service
• Have a healthy paranoia when it comes to delivering quality, error-free work
• Required:
• Strong proficiency with SQL
• Strong proficiency with one or more BI tools (Tableau, Looker, PowerBI, ThoughtSpot, etc.)
• 5+ years of experience working in healthcare analytics roles
• Experience leading and managing analytics projects
• Nice-To-Have:
• Proficiency with dbt
• Experience working in a cloud-based data lake / data warehouse environment like Snowflake or Databricks
• Experience working with healthcare datasets (e.g. claims, ADT/HIE)