Director, Analytics – Job Description
Employment Type: Full-Time, Exempt
Level: M5, Director
Location: Remote, USA
Who we are:
At Herself Health, we're on a mission to help women get more life out of life, together. We are building a new model of primary care for women 65+ to solve long-standing problems: rushed appointments, long wait times, and care that's generalized rather than specialized towards women’s needs later in life such as post-menopausal care, bone density, weight management, and mental, social and emotional well-being.
Our patient-centric Primary Care clinics are dispersed across Minneapolis/St. Paul, MN. We are thrilled to serve the Twin Cities metro in our clinics located in Highland Park (St. Paul), Crystal, and South Minneapolis with new clinics launching soon in both Rosedale and Eagan. Our team of 100+ colleagues is on a mission to innovate the primary care landscape for women 65+. We’re seeking like-minded individuals who share in this passion to join us!
About you:
As we grow our early team, we are seeking strategic thought leaders who have a passion for building and innovating. We foster a culture of collaboration, excellence and the willingness to roll up our sleeves and learn as we grow. We have a customer first mindset, and we are looking for team members who share that. Our ideal candidates have strategic prowess and the ability to use data to build best practices and implement great ideas in collaboration with our team and our community.
About the Director, Analytics Role:
Reporting to the Company’s Chief Operating Officer, the Director, Analytics will spearhead the strategic direction of our data, analytics, and healthcare economics initiatives, leveraging data to optimize patient outcomes in a value-based care environment and drive business growth. With your extensive experience in data governance and analysis and healthcare economics, you'll oversee a team of talented analysts, guiding their efforts to uncover insights that inform clinical decision-making and improve outcomes for women 65+. By identifying and ingesting new external and internal data sources, developing predictive models, and building dynamic dashboards, you'll have the autonomy to shape our analytics strategy and make a lasting impact on the future of women’s healthcare.
Must-have Qualifications and Skills:
- Advanced degree in Data Science, Statistics, Computer Science, Healthcare Informatics, or a related field
- (8+ years) in data analysis, with a focus on healthcare analytics in a value-based care environment
- Proven leadership experience, including managing teams of analysts and guiding strategic initiatives
- Expertise in statistical modeling, predictive analytics, and machine learning techniques applied to healthcare data
- Expertise in developing a data governance framework, including ingesting different sources of external data (i.e. claims data and health information exchange data) and developing and maintaining data tables in a data warehouse
- Strong understanding of healthcare data standards, regulations, and compliance requirements, including HIPAA
- Proficiency in programming languages such as Python, R, or SQL, as well as experience with data visualization tools like Tableau or Power BI
- Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences
- Strategic mindset with the ability to translate business goals into actionable analytics strategies
- Strong problem-solving abilities and a track record of driving measurable impact through data-driven decision-making
- Adaptability and willingness to thrive in a fast-paced, startup environment, with the ability to navigate ambiguity and lead through change
Nice-to-have Qualifications and Skills:
- Strong understanding of risk adjustment factor and Hedis quality structures in a value-based care environment
- Experience with electronic health record (EHR) systems and healthcare data interoperability standards
- Knowledge of emerging trends and technologies in healthcare analytics, such as real-time analytics, telemedicine
We support Equal Employment Opportunities (EEO). We are committed to an inclusive workplace. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, age, marital status, veteran status, disability status, parental status, political affiliation, or any other status protected by federal, state, or local laws.
