Data Analyst at Camber (W21)
$140K - $170K  •  
Admin automation for healthcare
New York, NY
Full-time
US citizen/visa only
3+ years
About Camber

We’re on a mission to make behavioral health more available and accessible. We're backed by YCombinator, Craft, Zigg, and many others to make this dream a reality.

At Camber, we build software for behavioral health clinicians to improve quality of care. We streamline and replace manual efforts so clinicians can focus on what they do best: providing high-quality care.

Behavioral health is broken. We think this is a problem worth solving, and we think we know how to solve it. Interested? Check out https://jobs.lever.co/juniperplatform.

We’re deeply rooted in the intersection of healthcare and technology — the founders were previously healthcare consultants (at McKinsey) and all have technical backgrounds.

The engineering team brings a breadth of experience (AWS, Bloomberg, Palantir, Headway). Our head of engineering previously led a team of 10 at AWS and is invested in building a first-class team of engineers with a focus on developing a diverse, inclusive, and supportive culture.

We started Camber because we care about impact — the lack of supply for behavioral healthcare means those who need it most cannot access it. We see this as a once in a lifetime opportunity to fix a broken industry, and why we want you on this journey with us.

About the role

About Us:

Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber?

We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber

About our Culture:

Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples:

  1. Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients.
  2. We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us.

For more details, take a look at our FAQs | Joining the Camber Team!

About The Role

Our team is growing rapidly, and we’re looking for mission-driven, customer-focused data folks who care about creating positive impact, love working directly with users to solve challenging problems, and who will thrive in the fast-paced start-up life. This person will work with both technical and non-technical teammates to design and drive investigations into complex business problems, and to propose data-informed solutions. 

What you’ll do:

  • Autonomously propose and execute on investigations to answer ambiguous business questions with data, leveraging SQL and statistics. Explore, identify, and surface trends and opportunities of growth proactively.
  • Conduct user research with cross-functional teams (operations, engineering, billing, etc.) to define analytics requirements, help them answer questions with data analysis, and serve as a translator between functions using data
  • Provide operational/useful insights to improve business critical metrics with a focus on the growth of the business
  • Visualize, communicate, and present findings in an easily understandable and compelling way to teammates across the organization and to leadership

What we’re looking for:

  • Deep anchor on delivering for users — orientation towards solving real problems for real people. Passion for customer discovery and user research.
  • Penchant for analysis — outstanding analytical modeling and business problem-solving skills. Experience working with large datasets to extract, manipulate and analyze data using SQL
  • Synthesis & communication skills — an ability to reduce sophisticated operational subjects into understandable and useful informational summaries and recommendations
  • Throughput, velocity, and independence — an ability to drive and build projects from 0 to 1. To identify problems, build alignment, and implement solutions autonomously.
  • Bias for action — a drive to dive in head-first into ambiguous problems, and to get hands dirty to find solutions.
  • Growth mindset — a mentality of approaching unknowns with excitement, a penchant for learning new skills and technologies to solve new data challenges.

Nice to have:

  • Experience with visualization tools for data reporting such as Tableau, Looker
  • Knowledge of ETL pipeline development using Python, dbt, or other languages/technologies
  • Experience working with health insurance data

Camber is based in New York City, and we prioritize in-person and hybrid candidates. Please refer to the top of this page for this position's hiring location.

Building an inclusive culture is one of our core tenets as a company. We’re very aware of structural inequalities that exist, and recognize that underrepresented minorities are less likely to apply for a role if they don’t think they meet all of the requirements. If that’s you and you’re reading this, we’d like to encourage you to apply regardless — we’d love to get to know you and see if there’s a place for you here!

In addition, we take security seriously, and all of our employees contribute to uphold security requirements and maintain compliance with HIPAA security regulations.

Technology

Languages & Frameworks

Overview

  • We’re building out a behavioral health operating system from the ground up. There’s so much in repetitive healthcare that can be improved and automated.
  • We’re focused on implementing the right building blocks (ask us about insurance change detection and patient payments), and using these blocks to continually build out more complex products (patient experience, scheduling, and revenue cycle management). At our current scale, we already handle tens of thousands of patient’s data — there are a lot of technical and product trade-offs to be made, and designing the “right” interfaces and is paramount. Oh, and scaling it to capture a $300B market should be a fun challenge!

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