Senior Healthcare Growth Analyst (Data & Analytics)

Senior Healthcare Growth Analyst (Data & Analytics)

Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective.

Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.

About This Role

We are seeking a seasoned Senior Healthcare Growth Analyst with a minimum of 5 years of experience in the healthcare industry, preferably on the provider side, to join our Data team.

You will work together with our Client Success and Growth teams to design and improve our Care and Operations models, and your output will directly contribute to the success of our product implementations and enterprise client expansions. You will be effectively shaping our client-facing Analytics offering and playing a pivotal role in our high-growth company.

Your day-to-day will include identifying data needs, conducting in-depth analysis, and developing insightful reports that support our strategy and client needs.

As part of a growing Data team, you will also help us make our clinical and operational data more useful and accessible to our internal teams for effective decision making and knowledge sharing.

Analytical mindset, entrepreneurial spirit and great cross-functional communication are hard requirements for this position. 

Key Responsibilities:

• Collaborate with Teams: Work closely with Client Success and Growth teams to understand and define data needs.
• Reporting: Create, maintain, and improve comprehensive reports and dashboards to support internal and client-facing initiatives.
• Business Analysis: Perform detailed ad-hoc analyses to answer specific business questions and inform decision-making.
• Data Integrity: Ensure accuracy and integrity of data across all reports and analyses.
• Best Practices: Contribute to the development and implementation of data analytics best practices within the organization.
• Stakeholder Communication: Translate analytical findings into clear, concise reports and presentations for non-technical stakeholders.

Requirements

Minimum Qualifications: 

• Education: Bachelor's degree in Statistics, Bioinformatics, Economics, or a related field.
• Experience: Minimum of 5 years of professional data analysis experience in the US Healthcare industry
• Technical Skills:
  • Proficiency in SQL
  • Intermediate skills in at least one statistical programming languages (e.g., Python, R).
  • Proficiency with data visualization tools such as Tableau, Power BI, Looker, or similar.
• Analytical Skills: Strong analytical and problem-solving abilities with attention to detail.
• Regulatory Knowledge: Understanding of healthcare regulations and compliance requirements, including HIPAA.
• Cross-Functional Communication: Exceptional communication and stakeholder management skills, comfortable supporting non-technical teams to reach their goals and managing expectations.
• Autonomy: Ability to work independently and in a team environment, with a proactive approach to problem-solving and a focus on delivering results.
• Entrepreneurial and self-starter spirit: You will be expected to actively identify, prioritize and solve for the needs of different internal and external clients.

Preferred Qualifications: 

• Academic or equivalent practical experience in Applied Healthcare Statistics / Bioinformatics, Public Health or Population Health
• Professional experience in the provider side of Healthcare, especially with aging populations.
• Professional experience in UX Research in data-related digital products.

Benefits and Pay

Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in office culture, we allow up to 2 remote days per week.

Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $130,000-150,000 USD, depending upon the job level, which will depend on your level of expertise, your experience, and your qualifications. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays.

EEO Statement

Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.