HealthVerity

Customer Support Engineer, RWD

HealthVerity Philadelphia, PA

How you will help

As a Customer Support Engineer, you will assist our customers with technical issues, inquiries, and concerns related to all of HealthVerity’s products or services with a primary focus on RWD. You will play a critical role in ensuring customer satisfaction by providing timely and effective resolutions to problems. Customer support engineers possess a deep understanding of the product or service they support, enabling them to troubleshoot issues, offer guidance on usage, and provide solutions tailored to the customer's needs. You will interpret customer issues and own triage through creative problem solving to initiate tier one support and enhance the customer experience through timely remediation. You will serve a vital role in maintaining strong customer relationships and fostering loyalty to the brand or company they represent.

What you will do

  • Serve as the first line of support and point of contact for HealthVerity’s customers.
  • Own customer-specific production projects.
  • Work cross-functionally with the DI&A, Delivery, and Data Operations groups to interpret our client deliverables.
  • Develop a deep understanding of HealthVerity’s healthcare data assets.
  • Triage common RWD questions through contract review, validation of delivery specifications, internal data investigation, and external query logic assessment.
  • Remediate and/or initiate remediation procedures for customer issues.
  • Create a knowledge repository of data issues inclusive of use cases, triage steps, and resolution scenarios.
  • Develop client-facing documentation for common data questions and answers.

How success is defined

  • Mean time to response
  • Mean time to resolution for customer requests
  • First time right resolution rate
  • Customer engagement/retention scores
  • Cross-functional team engagement and escalation clarity

Required skills and experience

  • 4+ years’ experience in the data industry, preferably in a big data environments
  • Proficient in programming against large data assets with a working knowledge of SQL
  • Ability to gather requirements, test strategies, design deliverables
  • Proven analytical, evaluative, and problem-solving abilities
  • Extensive experience working in a team-oriented, collaborative environment

Desired skills and experience

  • BS degree in math, statistics, or a healthcare related field
  • Knowledgeable in Python

Base salary for the role is commensurate with experience and can range between $75,000 - 115,000 + annual bonus opportunity.
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Engineering
  • Industries

    Software Development, Technology, Information and Internet, and Hospitals and Health Care

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