Manager, Data Analytics and Reporting

🕒 June 25

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $115k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Gifthealth

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2020

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $40M Private Equity Round - GiftHealth on 2023-04

Healthcare • Logistics • Consulting

Gifthealth is a technology-enabled patient access and prescription fulfillment company that connects patients, prescribers, pharmacies, and pharmaceutical manufacturers through a unified digital platform. It streamlines enrollment, electronic benefits verification, e-prior authorization, and payment/affordability support while managing pharmacy fulfillment and patient support services. The platform also provides manufacturers with actionable data and insights on patient journeys and brand performance, driving faster, more reliable medication access.

📋 Description

• Lead and develop a team of data analysts, fostering a culture of curiosity, rigor, and continuous improvement. • Own the end-to-end strategy, development, and quality of the analytics and reporting function. • Partner with engineering, product, and clinical leadership to translate complex business questions into actionable insights. • Drive adoption of self-serve reporting tools and ensure stakeholders can make confident, data. • Define and enforce data governance standards for metrics, dashboards, and reporting pipelines. • Facilitate roadmap planning and prioritization for the analytics team. • Ensure compliance and confidentiality of Personal Health Information (PHI) across all reporting surfaces.

🎯 Requirements

• BS in Statistics, Mathematics, Economics, Computer Science, or comparable quantitative field and relevant work experience in analytics or data engineering, with demonstrated leadership. • 6+ years of experience in analytics, business intelligence, or data engineering and 2+ years of experience managing or leading a team of analysts or engineers. • Deep proficiency with SQL, Python, and BI tools (we use Looker and Metabase). • Experience with dbt, data warehouse design, and modern analytics engineering practices. • Strong communication skills — you can translate data complexity into clear narratives for non-technical stakeholders. • A proactive approach to building systems and processes that scale. • Experience in healthcare analytics or regulated data environments preferred. • An excitement about learning healthcare and the pharmacy space from a unique vantage point.