Tuesday Health

Data Analyst

Tuesday Health

Remote · Full Time

1 applicant

Experience
2–4 yrs
Salary
Openings
1
Posted
2 ಗಂಟೆಗಳು ಹಿಂದೆ
Work mode
Work from home
Resume
Required to apply

Job description

About Tuesday Health

Tuesday Health is a value-driven provider specializing in community-based palliative care with a mission to transform serious illness and end-of-life support. Our focus is on goal-oriented care that eases physical discomfort and emotional stress for patients and their caregivers, aiming to reduce unnecessary hospital stays and enhance quality of life nationwide.

Role Overview

The Data Analyst position supports the Clinical Operations Analytics group by delivering insightful analyses, dashboards, and reports that inform clinical and operational decisions. Utilizing SQL and business intelligence platforms, this role explores varied datasets such as claims, ADT/HIE, FHIR, Elevate, among others, to produce actionable intelligence for internal leadership and client reviews while maintaining precise data models and overseeing data quality within central reporting tools.

Key Responsibilities

  • Partner with teams across Product, Engineering, Clinical, and Engagement to understand analytics requirements and clarify goals.
  • Develop clear, informative analyses, graphical representations, and dashboards using healthcare and operational datasets.
  • Generate client-oriented summary reports illustrating Tuesday Health's impact and progress towards service agreements.
  • Contribute to data model construction with thoroughly documented transformations and collaborate with Analytics Engineering to ensure model accuracy and alignment.
  • Continuously monitor data integrity and reporting dashboards, identifying irregularities, diagnosing root causes, and coordinating cross-team resolutions to minimize reporting disruptions.

Desired Candidate Attributes

  • Driven by a mission to enhance healthcare services and patient outcomes.
  • Skilled at communicating complex data stories simply for audiences without technical backgrounds.
  • Comfortable thriving in dynamic, evolving work environments.
  • Enjoys crafting clean, thoughtfully designed visuals and presentations.
  • Curious and committed to thoroughly investigating data with precision and quality.

Required Skills and Experience

  • Strong command of SQL for querying and data manipulation.
  • Experience with one or more BI platforms like ThoughtSpot, Tableau, Looker, or Power BI.
  • 2 to 4 years of professional experience in healthcare data analysis or a related analytics position.
  • Proven ability in constructing dashboards or regular reports that support operational functions.

Preferred Skills

  • Competency in Python for data analysis and transformations.
  • Familiarity with modern analytics engineering practices and tools such as dbt.
  • Experience working with cloud data platforms like Databricks or Snowflake.
  • Background with healthcare-specific data sources including claims and ADT/HIE data.
  • Knowledge of version control systems including git.

Benefits and Culture

  • Competitive salary packages aligned with industry standards to attract and retain top talent.
  • Comprehensive benefits including medical, dental, vision, life insurance, paid holidays and time off, and employer 401(k) matching.
  • Flexible remote working arrangement supplemented with periodic onsite meetings for collaboration and team engagement.
  • A supportive, inclusive environment encouraging authenticity, team collaboration, candid feedback, and impactful work.
  • Meaningful contributions towards improving care for seriously ill individuals and their families.

Diversity and Inclusion

Tuesday Health embraces diversity and encourages individuals from varied backgrounds to apply. The company practices equal employment opportunities without discrimination on grounds such as age, gender identity, sexual orientation, race, religion, disability status, and veteran status.

Work styles they’re looking for

Communication Adaptability Collaboration Attention to Detail Curiosity

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