Summary
Quantum Health is a healthcare navigation organization focused on simplifying healthcare costs and access for its members. The Insights Analyst will transform complex healthcare data into actionable insights supporting strategic decision-making, product development, and improved user experiences. The role involves developing analytics methodologies, dashboards, and reports while collaborating with cross-functional teams and ensuring compliance with healthcare data privacy and regulatory requirements.
Responsibilities
- Mine complex healthcare data sets to identify trends, patterns, and insights that directly impact business outcomes and healthcare delivery
- Collaborate with cross-functional teams, including Product Management, Marketing, Operations, and Engineering, to understand business needs and develop analytical frameworks that support data-driven decision-making
- Design and implement analytics methodologies using statistical modeling and machine learning techniques to generate actionable insights
- Develop and maintain dashboards and reports that visualize key metrics and insights for internal stakeholders
- Ensure reports and dashboards are accessible, intuitive, and effective for decision-making purposes
- Promote the adoption of analytics and insights throughout the organization, fostering a culture of data literacy and informed decision-making
- Stay current with industry trends, emerging technologies, and analytics best practices to continuously enhance team capabilities and business value
- Ensure all analytics practices comply with healthcare data privacy, security, and regulatory requirements
- Perform other duties as assigned
Skills
- • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Public Health, or a related field; advanced degree preferred
- • 3+ years of experience in data analytics or business intelligence, including at least 2 years in an analyst role within the healthcare industry
- • Strong analytical skills with proficiency in SQL, Python, R, and business intelligence tools such as Tableau or Power BI
- • Experience analyzing healthcare claims data
- • Experience leveraging generative AI tools for data analysis, coding, workflow automation, and insight development, with an understanding of responsible AI practices in healthcare environments
- • Demonstrated ability to translate complex data into clear, actionable insights that drive business strategy and decision-making
- • Proven ability to work effectively in ambiguous environments, create structure, and proactively drive initiatives forward
- • Excellent communication and interpersonal skills, with the ability to present complex information clearly and persuasively to stakeholders at all organizational levels
- • Knowledge of the healthcare industry, including clinical, operational, and financial data domains
- • Experience with machine learning techniques and statistical analysis methodologies
- • Understanding of healthcare data governance, privacy, and compliance requirements, including HIPAA
- • Strong personal accountability, integrity, and commitment to organizational values, ethics, and data privacy standards
- • Ability to manage and protect company and member data in accordance with organizational policies, guidelines, and ethical standards
- Applicants must be legally authorized to work in the United States on a permanent and ongoing future basis without requiring sponsorship
- Advanced degree preferred
Qualifications
Must Haves
- • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Public Health, or a related field; advanced degree preferred
- • 3+ years of experience in data analytics or business intelligence, including at least 2 years in an analyst role within the healthcare industry
- • Strong analytical skills with proficiency in SQL, Python, R, and business intelligence tools such as Tableau or Power BI
- • Experience analyzing healthcare claims data
- • Experience leveraging generative AI tools for data analysis, coding, workflow automation, and insight development, with an understanding of responsible AI practices in healthcare environments
- • Demonstrated ability to translate complex data into clear, actionable insights that drive business strategy and decision-making
- • Proven ability to work effectively in ambiguous environments, create structure, and proactively drive initiatives forward
- • Excellent communication and interpersonal skills, with the ability to present complex information clearly and persuasively to stakeholders at all organizational levels
- • Knowledge of the healthcare industry, including clinical, operational, and financial data domains
- • Experience with machine learning techniques and statistical analysis methodologies
- • Understanding of healthcare data governance, privacy, and compliance requirements, including HIPAA
- • Strong personal accountability, integrity, and commitment to organizational values, ethics, and data privacy standards
- • Ability to manage and protect company and member data in accordance with organizational policies, guidelines, and ethical standards
- Applicants must be legally authorized to work in the United States on a permanent and ongoing future basis without requiring sponsorship
Nice to Haves
- advanced degree preferred
Benefits
- Incentive compensation
- Health, vision and dental featuring best-in-class healthcare navigation services
- Life insurance
- Legal and identity protection
- Adoption assistance
- EAP
- Teladoc services
- 401(k) plan with up to 4% employer match and full vesting on day one
- Paid Time Off (PTO)
- 7 paid holidays
- Parental leave
- Volunteer days
- Paid sabbaticals
- Tuition reimbursement up to $5,250 annually
- Certification/continuing education reimbursement
- Discounted higher education partnerships
- Paid trainings
- Leadership development
- A modern workplace with a casual dress code
- Full-service dining
- Free snacks and drinks
- Complimentary 24/7 fitness center with group classes
- Outdoor walking paths
- Game room
- Notary services
- Dry-cleaning services
- This position may be performed remotely anywhere within the United States or in a hybrid capacity from the Dublin, Ohio office.