Boston, MA /
Customer Solutions/Customer Experience /
N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.
We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.
Data Analysts own the analytical deliverables for our clients and partner closely with our Project Managers and Account Directors to present insights, inform business decisions, and drive patient outcomes based on our data. As a Data Analyst on the Customer Experience team, you will analyze our machine learning models and data assets to generate actionable insights and answer key client questions. Your work will empower clients to run member outreach campaigns and improve health outcomes for individuals and families.
Dig into ambiguous problems to generate insights and answer key questions
Partner closely with Project Managers to summarize analytical findings and present compelling data-driven recommendations directly to our external clients
Deliver on multiple, concurrent projects in a fast-paced, results-oriented environment
Develop effective relationships as an analytics expert with external client stakeholders
Collaborate with cross-functional teams to deliver best-in-class value for clients
The Ideal Fit
We’re looking for motivated candidates who are ready to learn and grow, and who meet the following requirements:
Self-starter who thrives in ambiguity and is motivated by a fast-paced work environment
Passion for using data to solve complex problems
Energized about working in a customer-facing capacity (this role is ~80% customer-facing)
Deeply curious and driven to dive into new domains
Adaptable to change, think on your feet, and quickly learn new skills
- Data-driven; passion for telling a compelling story using data and informing business decisions
- Excellent interpersonal, communication, and presentation skills
- Demonstrated ability to work cross functionally and collaboratively with internal and external stakeholders
- Proactive team-player who doesn’t hesitate to take ownership and initiative
- Experience with SQL or demonstrated ability to learn
- Demonstrated ability to interpret and create data visualizations
- Basic understanding of Python is a bonus
- Degree in a quantitative field, or similar work experience
We celebrate diversity and are committed to creating an inclusive environment for all employees.
If you are excited about a role but your experience doesn’t seem to align perfectly with every element of the job description, we encourage you to apply. You may be just the right candidate for this, or one of our many other roles.
N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email firstname.lastname@example.org, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at email@example.com.