Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health
Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture. Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.
About the role:
Data is the backbone of what we are building at Equip–we use it everyday to support business processes, measure our success, and inform our decisions. We are looking for a Data Analyst to join us in creating meaningful analyses that improve patient lives and help Equip grow.
As a Data Analyst at Equip, you’ll have opportunities to develop reporting and analyses that impact all of our business domains–including Clinical Operations, Growth & Strategy, Product, and more. The right person for this role is an analytical thinker, effective communicator, is detail oriented, works comfortably in fast-paced environments, and collaborates well with others.
Responsibilities
- Building data models and automated reports
- Visualizing & storytelling with data
- Participating in Quality Assurance (QA) and Peer Review processes to ensure data quality
- Training/assisting users of our Business Intelligence (BI) platform
- Performing ad-hoc analyses as needed
Qualifications
- A bachelor’s degree in Mathematics, Computer Science, Statistics, Engineering, or related field
- 4+ years of experience as a Data Analyst
- Experience building dashboards, visualizations, and reports using BI tools (Mode, Tableau, PowerBI, Google Data Studio, Quicksight, etc.)
- Proficient in SQL
- Experience with statistical scripting / analysis tools (Python, R, etc.)
- Ability to write clear, maintainable, extensible and testable code
- Familiarity with structured, semi-structured, and unstructured data
- Experience with Git / GitHub
- Experience communicating and collaborating with diverse teams
- Organized and results-driven
- Comfortable in a fast-paced environment that is subject to rapid change and innovation
Bonus if you have the following:
- A masters degree in a health-related field (e.g., public health, social work, nutrition)
- Experience with healthcare data and/or previous experience working in healthtech
- Experience with dbt and AWS services (Glue, Athena)Familiarity with A/B testing techniques
- Passion for mental health, eating disorder treatment, and expanding access to treatment
Compensation and Benefits:
Equip offers competitive compensation and benefits programs as well as, career development opportunities, and exciting team retreats to ensure community and connection. The Talent Acquisition team will provide candidates with our benefit guide and share compensation information beyond posted bands. Below we have highlighted a list of some of our most popular benefits.
Short and long term incentives, including yearly bonus potential
Remote work from home
Flexible PTO & Leave programs
Health, dental, and vision insurance
Wellness and reproductive care programs
401k retirement savings plan
Home office set-up stipend
Co-working monthly stipend
Equal Employment Opportunity:
At Equip, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sexual orientation, gender identity, gender expression, familial status, age, weight, disability and/or any other legally protected classification protected by federal, state, or local law.
