Data Analyst I

About Equip:
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, multidisciplinary care team, made up of our therapists, dietitians, medical providers, and peer and family mentors. 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 as a fully virtual company, Equip is built on the dedication of highly engaged, passionate, and diverse Equipsters who have shaped our unique culture. In recognition of this impact, Equip was honored in 2024 by Forbes as a Next Billion-Dollar Startup, LinkedIn as a Top Startup, TechCrunch as one of the 10 Most Exciting Digital Health Startups, Fast Company among the Most Innovative Companies, and Business Insider’s 44 Companies to Bet Your Career On. We are immensely grateful to our Equipsters for creating a sustainable company and treatment program that has served thousands of patients and families to date.
About the role:
The Data Analyst I will be responsible for creating meaningful analyses that improve patient lives and help Equip Grow. This role will develop reporting and analyses that impact all Equip business domains - including clinical operations, commercial, product and more. The Data Analyst I is an analytical thinker, effective communicator, and is detail oriented.

Responsibilities

• Build data models and automated reports as assigned. 
• Create data visualizations to help tell a meaningful story. 
• Participate in Quality Assurance and Peer Review processes to ensure data quality. 
• Perform other duties as assigned.

Required Qualifications

• 2+ years of professional experience in data analytics. 
• Experience building dashboards, visualizations, and reports using BI tools (Mode, Tableau, PowerBI, Google Data Studio, Quicksight, etc.).
• Proficient in SQL.
• Ability to write clear, maintainable, extensible and testable code.
• Experience interpreting and contextualizing data.
• 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.

Physical DemandsWork is performed 100% from home with no requirement to travel. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed. 
Diversity, Equity, Inclusion, Belonging
At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip.
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, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law.