Clarify Health is hiring a

Data Analytics Associate

Job Overview

  • Posted 4 weeks ago
  • Full Time
  • USA
  • 35000

Roles & Responsibilities

The Data Analytics Associate will be responsible for a range of responsibilities, including (but not limited to):
Interpreting, analyzing, and mapping claims, price transparency, and clinical data
Leveraging healthcare and health policy experience to develop and complete data analysis using SQL, statistical programming languages, or internal tools
Shaping customer reports from the customer’s software environment or underlying data sources
Sharing findings with customers and answering their tactical and strategic questions
Help maximize NPS, customer satisfaction, and revenue recognition through meeting/exceeding individual and team goals
Establish and develop strong, credible relationships with current customers
Demonstrate healthcare, provider, payer, and/or life sciences knowledge and functional project management and analysis skills to build credibility with internal and external stakeholders.
Serving as the liaison with data vendors, partners, and internal and external advisors
Becoming the expert on where data originates, how they are mapped and utilized in our analytics, informatics, and products, and ultimately what value data delivers to our customers, other external stakeholders, and the general public.
Working with internal stakeholders, partners, and prospects to understand data and informatics needs, and transforming them into requirements for our offerings.
Implementing and validating customer ETL pipelines following existing patterns.
Contributing to team documentation and presenting at cross-team knowledge transfer sessions
Participate in research driven by the Clarify Health Institute

What we are looking for
We are always looking for new team members who will add to our culture and have a strong passion for impact.  In particular, the Data Analytics Associate will have:
Passion for Clarify’s mission and making a difference in healthcare
Experience in quantitative research, preferably in healthcare topics
2+ years of relevant work experience (e.g. consulting firm, healthcare analytics/technology, SaaS)
1+ years of healthcare provider, payer, and/or life sciences experience (strongly preferred)
Strong analytical problem-solving skills and ability to distill critical insights
Expert SQL querying skills required
Experience or willingness to develop Python, SAS, or other statistical programming skills
Self-motivated, organized, and capable of managing multiple responsibilities to successful completion
High attention to detail and ability to produce high quality outputs
Demonstrated flexibility and adaptability relative to thriving in ambiguous, constantly changing, high-pressure environments
Ability to build strong relationships and foster teamwork with customer and internal team members
Ability to work collaboratively in an interdisciplinary team environment
Ability to communicate complex ideas effectively, both verbally and in writing
Experience with clinical coding systems: ICD9/10 diagnosis codes, ICD9/10 procedure codes, CPT codes, revenue codes, provider NPI codes, NDC Rx codes
Ability to craft and deliver insightful client recommendations from disparate pieces of data
Graduate degree in public health, epidemiology, health policy, economics, or other related discipline preferred, but not required

What we offer you
Competitive compensation (base + bonus + equity)
Quality health insurance
Traditional 401K plan
Vision, dental, disability and life insurance
Flexible Spending Accounts and Commuter Benefits
Generous PTO
Flexibility
Monthly wellness stipend
Remote friendly
A collaborative workplace, which will challenge you and celebrate your work
A chance to learn with and from interesting and enthusiastic colleagues

Don’t meet every single requirement? At Clarify we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles! We believe that a happy, diverse, and impact-driven team is critical to our mission of transforming healthcare. Having a diverse team allows us to bring more ideas to the table when working on lighting the path to higher-value care. We embrace employees and applicants of all backgrounds, including those of traditionally underrepresented groups. With this in mind, we do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, the basis of disability, homelessness, or any other federal, state or local protected class.

Skills Required

  • Machine Learning
  • Python

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