Data Analyst
Sundayy · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Analyze healthcare data for strategic insights.
- Develop statistical models and reports.
- Collaborate with healthcare experts and partners.
- Improve healthcare delivery and payment systems.
- Utilize SQL, R, Python, and Athena.
About the role
About The Company
Solventum is a pioneering healthcare company dedicated to transforming patient care through innovative solutions at the intersection of health, materials, and data science. Building on a long legacy of creating breakthrough healthcare products and services, Solventum aims to improve lives by enabling better, smarter, and safer healthcare practices. The company values a people-centric approach, emphasizing empathy, clinical intelligence, and collaboration with leading healthcare professionals worldwide. Solventum is committed to addressing some of the most significant challenges in healthcare by leveraging cutting-edge technology and data-driven insights. As a forward-thinking organization, Solventum fosters an inclusive environment that promotes continuous innovation, integrity, and excellence in service delivery. The company operates globally, supporting healthcare providers, payers, and government agencies to optimize health outcomes and operational efficiencies.
About The Role
The Lead Data Analyst at Solventum will play a critical role in harnessing healthcare data to drive strategic insights and operational improvements. This position involves analyzing complex clinical and claims data, developing statistical models, and creating meaningful reports and visualizations for internal and external stakeholders. The Lead Data Analyst will collaborate closely with healthcare experts, payers, and business partners to interpret data trends, develop logic-driven solutions, and support initiatives related to payment models, quality metrics, and value-based care programs. The role offers an opportunity to work on high-impact projects that influence healthcare delivery and payment systems, including Medicare, Medicaid, and international payer programs. The ideal candidate will bring extensive experience in healthcare analytics, programming, and data management, with a focus on improving healthcare outcomes and operational efficiencies. This remote position may require up to 25% travel domestically or internationally and involves working across different time zones and team environments.
Qualifications
- Bachelor’s Degree or higher in statistics, data science, computer science, mathematics, business, or related fields.
- Six (6) years of experience in healthcare analytics within private, public, or government sectors. OR High School Diploma/GED with a minimum of eight (8) years of relevant healthcare analytics experience.
- At least six (6) years of experience working with clinical and claims data.
- Proficiency in programming languages such as Microsoft SQL, R, Python, and Athena.
- Experience in payment modeling, statistical analysis, and developing data-driven solutions.
- Knowledge of healthcare information systems, patient classification tools (e.g., 3M CRG, APR DRG, EAPG), and risk adjustment methodologies.
- Understanding of Medicare, Medicaid, and other public domain healthcare programs and quality measures like VBP and ACO REACH.
- Ability to operate effectively in a fast-paced, flexible environment, including working across time zones and hybrid settings.
- Legally authorized to work in the country of employment without sponsorship.
Responsibilities
- Analyze client requirements, gather relevant healthcare data, and produce comprehensive deliverables using Solventum HIS methodologies.
- Interpret analytical results and develop reports, dashboards, and visualizations to communicate insights clearly to stakeholders.
- Develop, test, and maintain code in SQL, R, Python, Athena, and other relevant languages for data extraction, transformation, and analysis.
- Collaborate with healthcare experts to design logic and algorithms that meet client-specific goals and improve healthcare outcomes.
- Support the development of payment models, quality measurement systems, and performance tracking tools.
- Ensure compliance with company policies, security standards, and regulatory requirements during all data handling and analysis activities.
- Participate in cross-functional teams to implement data-driven strategies that enhance patient safety, operational efficiency, and value-based care initiatives.
- Stay updated with industry trends, new analytical tools, and healthcare policies to continuously improve analytical capabilities.
- Support global teams by working across different time zones and adapting to dynamic project needs.
Benefits
- Competitive salary range aligned with experience and market standards.
- Comprehensive health insurance including medical, dental, and vision coverage.
- Flexible spending accounts for healthcare and dependent care expenses.
- Retirement savings plans and financial planning resources.
- Paid time off, holidays, and wellness programs to promote work-life balance.
- Opportunities for professional development, training, and career advancement.
- Supportive and inclusive work environment that values diversity and innovation.
- Remote work flexibility with potential travel opportunities.
Key skills/competency
- Data Analysis
- Healthcare Analytics
- SQL
- R
- Python
- Statistical Modeling
- Data Visualization
- Claims Data
- Clinical Data
- Payment Models
Skills & topics
- Data Analyst
- Healthcare Analytics
- SQL
- R
- Python
- Statistical Modeling
- Data Visualization
- Claims Data
- Clinical Data
- Payment Models
- Medicare
- Medicaid
- Value-Based Care
- Remote
How to get hired
- Tailor your resume: Highlight your healthcare analytics experience, SQL, R, Python, and Athena proficiency, and knowledge of clinical/claims data.
- Showcase relevant experience: Emphasize your background in payment modeling, statistical analysis, and understanding of healthcare programs like Medicare/Medicaid.
- Prepare for technical questions: Be ready to discuss your experience with data extraction, transformation, and analysis using the specified programming languages.
- Demonstrate collaboration skills: Provide examples of how you've worked with healthcare experts and stakeholders to drive data-driven solutions.
- Research Solventum's mission: Understand their commitment to transforming patient care and improving healthcare outcomes through data.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key programming languages required for the Lead Data Analyst role at Solventum?
- The Lead Data Analyst role at Solventum requires proficiency in programming languages such as Microsoft SQL, R, Python, and Athena for data extraction, transformation, and analysis.
- What type of data will I be working with as a Lead Data Analyst at Solventum?
- As a Lead Data Analyst at Solventum, you will primarily work with complex clinical and claims data to derive insights for healthcare transformation.
- Does the Lead Data Analyst position at Solventum require travel?
- Yes, this remote position may require up to 25% travel domestically or internationally to support project needs and collaborate with stakeholders.
- What is the required educational background for the Lead Data Analyst role?
- A Bachelor’s Degree or higher in statistics, data science, computer science, mathematics, business, or a related field is preferred. Alternatively, a High School Diploma/GED with a minimum of eight (8) years of relevant healthcare analytics experience is accepted.
- What understanding of healthcare programs is expected for this role?
- A strong understanding of Medicare, Medicaid, and other public domain healthcare programs, along with quality measures like Value-Based Purchasing (VBP) and ACO REACH, is expected for this Lead Data Analyst position.
- How does Solventum support work-life balance for its remote employees?
- Solventum supports work-life balance through competitive salaries, comprehensive benefits, paid time off, holidays, wellness programs, and remote work flexibility.