Lifespark is a complete senior health company headquartered in St. Louis Park, Minnesota. Since 2004, we've been helping seniors stay healthy, navigate their health care options with confidence, and live fuller, more independent lives as they age. That's where our people come in - from accounting and health technology to front-line nurses, advanced practice professionals, caregivers and everything in between, we are all invested entrepreneurs focused on helping people age magnificently.

Our Lifespark culture has created not only an award-winning workplace - earning Star Tribune Top Workplace 11 times, Minneapolis Business Journal Best Places to Work three times, and Top USA #1 in Healthcare - but a place where you have the room to be creative, make a difference, and have a purposeful, direct impact on how people age. Lifespark's full continuum of services offers a breadth of roles with the support to grow your career. To see the experience we are creating, watch our award-winning video Going South - this is the experience you will help create at Lifespark! Changing the age-old story starts with you - let's get you hired.

Lifespark Benefits include:

• Annual Reviews/Raises
• Paid Time Off - Vacation Time
• Medical, Dental, Vision benefits for Full Time Hires
• Short-Term Disability & Long-Term Disability Insurance
• Life Insurances
• 401k + Company Match for full-time and part-time employees
• Referral bonuses
• Career path to other positions within our growing company!

The Healthcare Data Analytics Manager at Lifespark is responsible for managing the collection, analysis, and interpretation of healthcare data to support decision-making and improve patient outcomes. In this role, you will collaborate closely with cross-functional teams, external entities, and healthcare stakeholders to influence and drive evidence-based healthcare decisions.

Qualifications:

• Bachelor's or master's degree in a relevant field such as healthcare informatics, data analytics, or computer science. (Equivalent experience may also be considered.)
• 3+ years of experience in healthcare data analytics or a related field.
• Proven working experience as a data analyst or business data analyst, preferably in the healthcare industry.
• Technical expertise in data models, database design development, data mining, and segmentation techniques.
• Strong quantitative, analytical, and problem-solving skills.
• Excellent communication, interpersonal and presentation skills, with the ability to convey complex concepts and insights to non-technical stakeholders.
• Proficiency in data analysis techniques, tools, and statistical software (e.g., SQL, Python, R, SAS, etc.).
• Proven experience leading teams or large initiatives.
• Knowledge of Value Based Care, CMS risk adjustment models, healthcare policy and/or healthcare market dynamics is a plus.