Complete navigation and care delivery for all Musculoskeletal (MSK) conditions
Senior Data Analyst
Location
United States
Posted
4 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
As a Senior Data Analyst, you will:
- Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data-driven answers.
- Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives.
- Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives.
- Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes.
- Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.
- Contribute to a data culture that prioritizes accuracy, transparency, and business relevance.
Qualifications
- 5–7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role.
- Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment).
- Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus.
- Experience with data visualization tools (e.g., Looker, Tableau, or similar).
- Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
- Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
- Strong communication skills—you can translate complex analysis into clear narratives for non-technical stakeholders.
- A mindset of ownership, humility, and continuous improvement.
Requirements
- None of these are strict requirements—we’re looking for strong problem-solvers who can learn and grow in the role.
Benefits
- Impact: Shape how care is measured, improved, and delivered to real patients and providers.
- Agility: Join a nimble team where your ideas can move quickly from concept to action.
- Flexibility: Work remotely from anywhere in the United States.
- Compensation: Competitive salary commensurate with experience.
- Benefits: Full medical/dental/vision, PTO, and employee-funded 401(k).
Job Requirements
- 5–7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role.
- Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment).
- Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus.
- Experience with data visualization tools (e.g., Looker, Tableau, or similar).
- Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
- Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
- Strong communication skills—you can translate complex analysis into clear narratives for non-technical stakeholders.
- A mindset of ownership, humility, and continuous improvement.
- None of these are strict requirements—we’re looking for strong problem-solvers who can learn and grow in the role.
Benefits
- Impact: Shape how care is measured, improved, and delivered to real patients and providers.
- Agility: Join a nimble team where your ideas can move quickly from concept to action.
- Flexibility: Work remotely from anywhere in the United States.
- Compensation: Competitive salary commensurate with experience.
- Benefits: Full medical/dental/vision, PTO, and employee-funded 401(k).
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