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Gifthealth
Gifthealth
501 – 1,000 Employees
ConsultingHealthcareLogistics
Gifthealth operates at the intersection of healthcare technology and prescription fulfillment, helping coordinate medication access across patients, prescribers, pharmacies, and pharmaceutical manufacturers. Its digital platform supports enrollment, electronic benefits verification, electronic prior authorization, affordability assistance, pharmacy fulfillment, and patient support. Gifthealth also gives manufacturers visibility into patient journeys and brand performance, helping them understand access barriers and improve the reliability of medication delivery.
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Lead Data Analyst, Healthcare Analytics – Gifthealth Hybrid Columbus

Lead healthcare analytics for Gifthealth’s prescription-management platform by establishing trusted dbt metrics, investigating patient-level data, and managing two to three analysts.

USUnited StatesOHOhio
$132,000 – $165,000 / year
HybridFull-timeSeniorEnglish RequiredData Analyst
PythonSQL

Description

  • Set the analytical direction for a business domain
  • Establish canonical metrics and authoritative data sources
  • Determine which questions require dbt models versus ad hoc analysis
  • Define validation standards before findings reach clients or executives
  • Implement metric definitions in dbt with data engineering and BI partners
  • Maintain traceability for metric calculations and exclusions
  • Manage two to three analysts through 1:1s, SQL and conclusion reviews, development plans, and performance discussions
  • Set the analysis roadmap and prioritize work across the domain
  • Align priorities with operations leaders, account teams, and the Director
  • Analyze complex questions involving patient-level reconstruction and causal mechanisms in the data
  • Investigate unexplained metric changes and inconsistencies across internal reports
  • Partner with analytics leads and BI to maintain consistent shared metrics across domains
  • Find row-dropping joins across NDP, LDZ, IDP, BestRx, and the entity-resolution layer
  • Help analysts understand relationships within the underlying operational systems
  • Participate in recurring meetings with Analytics & Reporting, direct reports, and Data & Analytics leadership
  • Visit the distribution floor and listen to patient calls to understand the operations reflected in the data
  • Make periodic on-site visits to the Columbus distribution and call centers, especially during onboarding

Requirements

  • A degree is not required; equivalent practical experience is accepted
  • Usually 7–10 years of professional data analysis experience
  • Demonstrated senior-level ownership of ambiguous business questions and peer review
  • Advanced SQL experience in a data warehouse using dbt models
  • Ability to critically review SQL and detect fan-out before relying on results
  • Experience creating and documenting metric definitions
  • Experience managing or leading analysts, including through informal leadership
  • Strong analytical judgment and the ability to validate findings against an independent source
  • Ability to communicate conclusions to operations leaders, account managers, and directors
  • Comfort working with an evolving data stack and active migrations
  • Experience working with PHI, masking, BAAs, and role-based access controls
  • Strong knowledge of healthcare data, PHI, and HIPAA requirements
  • Ability to lead a small team and improve performance across a business domain
  • Excellent leadership, communication, and data-informed decision-making skills
  • Preferred experience in pharmacy, specialty pharmacy, healthcare, or payer data
  • Preferred experience with manufacturer patient-support or hub programs
  • Preferred experience writing and testing dbt models
  • Preferred Looker and LookML experience or background in legacy BI migrations
  • Preferred Python experience for analysis
  • Preferred experience owning a metric layer or definitions catalog
  • Must be able to work in the United States or remotely from Columbus, Ohio, with periodic visits to the Columbus distribution and call centers
  • The role is full-time
  • May require availability for urgent client or executive requests

Benefits

  • US-based remote work option
  • Full-time exempt employment
  • Leadership opportunity with a small data analyst team
  • Professional growth and performance development opportunities
  • Ongoing collaboration with Analytics & Reporting and Data & Analytics leadership
  • Periodic on-site visits, primarily during onboarding
  • Equal opportunity and inclusive workplace

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