Analyst, Analytics - Corporate Reporting (Medtech)

TL;DR

Analyst, Analytics - Corporate Reporting (Medtech): Developing corporate reporting and business insights for a health technology platform with an accent on data-driven project execution and client-facing analytics. Focus on building scalable data products, conducting exploratory analyses of pharmacy claims, and ensuring reporting compliance.

Location: New York, New York, United States

Salary: $70,000 - $85,000 USD

Company

Enterprise health technology company providing pharmacy benefit management and health platform solutions to employers and health plans.

What you will do

• Execute analytics projects by gathering data requirements and preparing reporting deliverables.
• Perform exploratory analyses to support program performance, compliance tracking, and utilization trends.
• Create dashboards and visualizations using Tableau to support operational and strategic initiatives.
• Maintain clear and organized documentation of query logic and methodologies to ensure repeatability.
• Collaborate with cross-functional stakeholders to align analytical work with business goals.
• Support reporting accuracy through quality control reviews and compliance standard adherence.

Requirements

• 1–3 years of experience in data analytics or business intelligence.
• Expertise in Tableau Desktop and publishing to Tableau Cloud/Server.
• Strong SQL skills, preferably with experience in Snowflake.
• Experience using GitHub for version control and collaboration.
• Familiarity with dbt concepts and governed metric definitions.
• Experience working with pharmacy and medical claims data.

Nice to have

• Domain knowledge in Pharmacy Benefit Management (PBM).
• Experience working with Tableau REST API.
• Experience in large-scale, high-growth organizations.
• Exposure to Agile practices and cross-functional project work.
• Bachelor’s degree in a relevant field or equivalent experience.

Culture & Benefits

• Collaborative environment focused on translating complex questions into actionable insights.
• Opportunity to build reliable, scalable data products that drive organizational decision-making.
• Commitment to a diverse workplace and equal employment opportunities.
• Culture of data-driven decision-making across all departments.