Description
About Us
At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.
Position Summary
We are seeking a Data Analyst II to own recurring reporting and ad hoc analysis for an assigned manufacturer program or internal domain, becoming the person who knows that program's enrollment funnel, payer quirks, fulfillment path, and data sources deeply. This position plays a key role in supporting the Data & Analytics department and reports to the Manager, Analytics & Reporting, ensuring alignment with organizational goals, operational excellence, and compliance standards.
Depth in one program or domain beats a thin layer across many, especially in the first year. This role has no direct reports.
Key Responsibilities
- Own one manufacturer program or internal domain deeply: its enrollment funnel, payer quirks, fulfillment path, and where its data comes from and lives.
- Own recurring reporting that goes out on a schedule: weekly and monthly program reporting plus support for daily feeds, reviewing numbers before they leave and raising unexplained changes rather than shipping them.
- Answer questions with a deadline attached by tracing them through claim adjudication, prior authorization status, prescription state changes, and fulfillment records, returning an answer plus your confidence in it.
- Write down metric definitions when you settle a disagreement for your program, keep reporting consistent with them, and document them where the next person will find them.
- Build dashboards in Looker, our primary BI platform (Metabase also in use, migrating off Domo), including client-facing Looker work that is still being stood up, and raise a dbt model request when logic belongs in the warehouse rather than in a dashboard tile.
- Handle PHI carefully as a daily practice: know what your access covers, use the minimum you need, and ask before moving patient-level data anywhere new.
Qualifications
- Education: Bachelor's degree preferred; not required. We evaluate demonstrated capability rather than credentials.
- Licensure/Certification: Not applicable.
- Experience: Typically 2 to 4 years of experience in data analysis. This band is guidance rather than a gate.
- Knowledge, Skills, and Abilities:
- Can take a vague question, sharpen it into something answerable, and come back with the answer and its caveats without needing to be checked on daily.
- Validates work: counts rows, compares against a second source, and asks why a total does not tie before anyone else has to ask.
- Writes and speaks plainly about what you found, so someone in an account or operations role can read your summary and act on it.
- Comfortable being told a number is wrong: finds out why and says so rather than quietly patching it, and is curious about how the healthcare and pharmacy operation actually works.
- A couple of years of analysis work where SQL was the main tool: you can write more than a simple join, including window functions and careful aggregation, and you take the time to figure out grain before writing anything.
- Demonstrated application of the above Qualification
- Nice to have: pharmacy, claims, or payer data experience (prior authorizations, adjudication, benefit verification, NDCs, dispensing workflows); dbt experience contributing transformation logic rather than only reading from it; Looker or LookML exposure; Snowflake (we are mid-migration from PostgreSQL); Python for analysis that does not fit in SQL; or experience producing work that went to an external client.
Work Environment
- Location: Columbus, OH or Remote (US).
- Schedule: Full-time; standard business hours.
- May require flexibility around reporting deadlines tied to weekly, monthly, and daily program feeds.
- Regular collaboration with account and operations teams and manufacturer program contacts, plus time on the distribution center floor and with the call center to understand the operation firsthand.
Key Essential Functions
- Must be able to work at a computer for extended periods
- Must be able to communicate effectively, verbally and in writing, with account and operations stakeholders
- Must be able to handle and access data in compliance with HIPAA and PHI handling requirements
- Must be able to periodically visit the distribution center and call center to observe operations firsthand
Employment Classification
Status: Full-time
FLSA: Exempt
Equal Employment Opportunity (EEO) Statement
Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.
We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply!
Disclaimer
This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.
Skills Required
- Approximately 2 to 4 years of data analysis experience
- SQL as the primary analysis tool, including window functions and careful aggregation
- Ability to validate analysis, reconcile data sources, investigate discrepancies, and communicate findings clearly
- Ability to handle and access PHI in compliance with HIPAA requirements
- Ability to work at a computer for extended periods
- Effective verbal and written communication with account and operations stakeholders
- Ability to periodically visit the distribution center and call center
- Bachelor's degree
- Pharmacy, claims, or payer data experience
- dbt experience contributing transformation logic
- Looker or LookML experience
- Snowflake experience
- Python experience for analysis beyond SQL
- Experience producing work for external clients
What We Do
Gifthealth is a digital pharmacy and access platform that streamlines prescription fulfillment, reduces patient out-of-pocket costs, and improves persistence for biopharma brands and their clinics. As the first digital pharmacy to offer direct-to-patient services at scale, it connects prescribers, patients, and partners through a seamless, end-to-end experience to remove barriers across the entire prescription journey.







