Senior Data Analyst Job at Pine Park Health
Welcome to Pine Park Health!
About Us
Pine Park Health is a value-based primary care practice that is redesigning how residents of senior living communities get or stay healthy and lead a life they love. We're on a mission to dramatically improve healthcare for seniors by building a new model of care that's designed around everyone involved — patients, families, community staff members, providers, and payers.
We've started by providing regular prevention and screening, care for chronic conditions, lab work, and diagnostic testing to patients in their apartments. We visit each community weekly to see patients and collaborate on patient health needs with staff. We also make it easier for patients to get care urgently with same- and/or next-day care, helping them avoid the ER and/or hospital where they're exposed to more health issues.
Our value-based offering has led to over 100 communities partnering with us in the last year and allowed us in achieving 10X patient growth. We're a fast-growing company that's backed by lead investors including First Round Capital, Google's AI fund, Canvas Ventures, Foundation Capital, Y Combinator, and Susa. If you share in our vision of helping every senior, no matter their health status, being able to lead a life they find meaningful and worthwhile, join us!
The Opportunity
Pine Park Health is hiring our first Senior Data Analyst to help us care for assisted living residents using data and metrics. This critical role will be supporting the development and execution of the company's overall growth strategy.
You will be responsible for the analytics and insights that will help us understand the performance and impact of our company in the value-based US healthcare environment. Additionally, you will develop a deep understanding of all the factors that influence seniors' health, participate in the product development process, all while supporting our clinical, care growth, implementation, finance and product teams.
What You'll Do
- Partner with the management team and project leads (clinical and non-clinical) to design and create input metrics and output metrics that guide improvement and decisions
- Support project teams with quantitative work to inform hypothesis selection and evaluation.
- Partner with Operations in instrumenting workflows, tools, and systems to collect high-quality data at scale
- Develop reporting/dashboards and work closely with internal clients to iterate on content and form as business needs change
- Partner with Data Engineering to ensure upstream data quality, develop robust data pipelines, and create tooling for clients to self-serve via Looker
- Partner with our Product, Clinical, and Operations teams to design data-driven care delivery workflows and ultimately dashboard prototypes that will consistently deliver remarkably personalized patient care. To this end, you will occasionally spend time inside Assisted Living Facilities (ALFs) shadowing our Growth, Ops & Care Delivery teams to gather the context required to make excellent technical design decisions
What We're Looking For
- Bachelor's degree in Data Science, Statistics, Computer Science, Data Analysis, or equivalent
- 2-5 years experience as a data analyst
- Ability to develop detailed data request specifications based on existing company data model for de-identified patient data pulls as inputs into analytics projects
- Intermediate SQL experience with data and query modeling in a data warehousing environment
- Advanced familiarity with Excel (ex. you know how to combine tables that utilize .CSV files and Google Sheets, creating pivot tables and formulas)
- Ability to synthesize complex data and information into key insights and to communicate these key insights via reporting, dashboards and other presentation formats as needed
- Comfort and proficiency in working collaboratively with clinical experts (e.g. physicians, nurses, care coordinators) on data analyses and output to ensure high quality clinical output
- Experience and demonstrated ability to communicate and present impactful to all levels of internal and external stakeholders
- Ability to multitask, prioritize, adapt to change, work well under pressure in an entrepreneurial environment, meet deadlines, and manage a project from start to finish
- You thrive in a diverse, cross-functional team, collaborating with people throughout the company
Bonus Points
Deep familiarity with the healthcare industry, and experience analyzing healthcare-specific data: CPT Codes / procedures, medical claims, patient diagnosis
Why You'll Love Us
- We're a smart, heart-centered, low-ego group motivated to make waves in the lives of seniors and the healthcare industry.
- We're solving complex, vital problems that affect real people and need bright, focused, driven minds like yours to help us achieve our goals.
- We empower team members to act like owners and have designed a learning-focused environment where you get ongoing support and regular feedback to help you grow.
- Our hybrid work environment allows you to set your own in-office and remote schedule. We love being in an office to connect with coworkers and form meaningful relationships and make it easy for you to work from home when needed or preferred.
- We host social events to celebrate wins, mark team member milestones and let go by having fun.
Benefits Designed for You and Yours
- Stock Option Plan
- Paid Parental Leave
- Medical, Vision, and Dental Insurance
- 401K Retirement Plan
- Mileage and Cell Phone Reimbursement
- Annual Wellness Allowance
- Professional and Personal Development Annual Allowance
- FSA and Dependent Care FSA
- 10 Paid Holidays
- 15 days paid time off
- Paid sick days
Pine Park Health provides the highest safety and quality of care for patients who can be at high-risk of COVID-19. To support this work, we require vaccination for all employees and proof of vaccination before hiring.
Pine Park Health is an equal opportunity employer — we aim to recruit, hire, develop, compensate, and promote regardless of race, religion, country of origin, gender, sexual orientation, age, marital status, veteran status, or disability.
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