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Senior Analyst, Data Product

HealthVerity

HealthVerity

IT, Product
Philadelphia, PA, USA
Posted on Sunday, June 9, 2024
How you will help
In your role as Senior Analyst, Data Product at HealthVerity, you will support our data design strategy, fully realizing the potential of our data assets with products that address the immediate and future business objectives of our clients. Your designs will create compelling products that simplify complex data and engage our clients across the healthcare data domain. You will iterate upon the user experience with client feedback, using the principles of rapid prototyping, thus driving HealthVerity forward.
Your role involves more than just internal communication; you will forge connections with our clients, understanding their core needs, and integrating their insights into our product design and development process. Because you are a subject matter expert on healthcare data assets, you easily identify creative solutions that uniquely meet the needs of our clients. This customer-first approach will ensure our products are not just innovative but also highly relevant and impactful.

What you will do

  • Product Design: Leverage deep data expertise to lead the design, via iterative rapid prototyping, of new data offerings that meet unexpressed needs across multiple data product areas
  • Innovation: Bring design to the forefront with innovative data products for the healthcare sector, capitalizing on HealthVerity's unique leadership in the healthcare data marketplace
  • Engagement: Collaborate closely with enterprise clients to understand their unique challenges around how they interact with our data and products and integrate their feedback into the product design life cycle, ensuring our solutions meet and exceed market demands
  • Product Advocacy: Represent and advocate for HealthVerity's product strategy in customer interactions and other external engagements, enhancing market presence and product visibility
  • Culture and Team Development: Support our culture of accountability and excellence within the product team, design and execute your own journey of professional growth

How success is defined

  • Author clear and concise requirements for data engineers
  • Research and develop data products/solutions with little or no support
  • Excellent communication skills, both written and oral, that describe the solution/design to internal and external clients
  • Generate rapid prototypes for a variety of data offerings in the early discovery stage
  • Comfortable working through ambiguity to reach a deep understanding of the client challenge
  • Evaluate HealthVerity Marketplace to select data assets that are fit-for-purpose

Desired skills

  • 6+ years of data solution/design within healthcare technology including
  • - Strong design thinking skills with the ability to anticipate future client needs and develop solutions
    - Demonstrated success with user experience, design, and research principles to create data products that delight clients
    - Strong analytical and problem solving skills with the ability to make data-driven decisions
    - Exceptional communication and interpersonal skills, capable of engaging with a diverse range of stakeholders
  • 6+ years of advanced SQL programming and analytic experience (e.g. persistency, compliance, targeting/site selection, missing data imputation, outcomes research, healthcare economics, patient journey, machine learning, outlier detection, winsorizing, incidence, prevalence)
  • 2+ years of experience in an external customer-facing role with a focus on real-world data
  • Deep understanding of healthcare data structures (e.g. claims, remittance, EMR, registry, chargemaster, pre-authorizations) and how to derive insights from them
  • Understanding of engineering and data warehousing principles including normalization, standardization, patient mastering, and deduplication
  • Track record of using clinical data to solve challenges, preferably within Life Sciences.
  • Advanced degree in a relevant discipline (e.g. Healthcare Informatics, Statistics, Epidemiology, Public Health)