Healthcare Data and Analytics Specialist - Remote - USA

Talentify; Helena (MT); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Paid time off

Remote work

Career growth

Health insurance

401(k) with match

Continuing education

Job summary

FullStack is hiring a Healthcare Data and Analytics Specialist to join our team. You’ll work with clients in two modes: Team Augmentation and Design & Build, integrating into client teams or building product-based analytics for our clients.

We require 5+ years in data analytics or related fields, advanced English, and a four-year degree. You will handle healthcare data such as claims, eligibility, enrollment, and PHI, while ensuring HIPAA compliance and data quality across distributed systems.

Qualifications

• 5+ years of professional software engineering, data analysis, or data operations experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Deep experience with healthcare data including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Expertise in SQL to join complex datasets, investigate discrepancies, and create maintainable analytical logic.
• Work with healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
• Knowledge of healthcare claims structures, terminology, utilization, and financial metrics (allowed/paid).
• Experience creating recurring analytical reporting, data dictionaries, and metric definitions for clients or executives.
• Investigate data issues and trace discrepancies across data ecosystems.
• Proficient with PostgreSQL and file transmissions/APIs.

Responsibilities

• Collaborate with client teams in augmenting their analytics capabilities.
• Design & build analytical data products for healthcare clients.
• Develop and maintain recurring reports, data dictionaries, and metrics definitions.
• Ensure HIPAA compliance and PHI protection in data workflows.
• Contribute to CI/CD pipelines for data applications.
• Investigate data issues and trace discrepancies across stages of data ecosystem.

Skills

Healthcare data analysis

SQL

Relational databases

English proficiency

Data validation

Data operations workflows

HIPAA & PHI knowledge

Agile/Scrum

Data troubleshooting

Problem solving

Education

Four-year college degree

Tools

PostgreSQL

SFTP/flat files/APIs

Job description

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We're most proud of:

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world's greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Position

We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:

• Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
• Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For

• 5+ years of professional software engineering, data analysis, or data operations experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
• Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
• Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
• Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
• Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
• Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
• Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer

• Competitive Salary.
• Paid Time Off (vacation, sick leave. parental leave, and holidays).
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Health, dental, and vision insurance.
• 401(k) w/ 4% match.
• Ample opportunity for career advancement.
• Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

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