Senior Data Analyst, Remote — PBM & Healthcare Analytics

Archimedes; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

20 days paid time off

4 weeks paid parental leave

9 paid holidays

401K company match up to 5%

Job summary

Archimedes is seeking a Sr. Analyst- Data to join our team. The Sr.

Analyst, Data leads complex analytical initiatives and designs reliable data solutions that support analytics, reporting, and operational decision-making across the organization. This role partners with stakeholders to translate ambiguous or complex business problems into scalable analytical approaches, trusted datasets, and clear recommendations.

Qualifications

• Bachelor’s degree in a quantitative or related field.
• 5+ years in data analysis, analytics, or reporting in production.
• Experience mentoring analysts and leading projects.
• Healthcare / PBM data familiarity preferred.
• Advanced SQL, SSMS, and data warehousing knowledge.

Responsibilities

• Lead complex analytical projects from problem definition through data analysis, validation and delivery.
• Translate business questions into analytical plans and actionable recommendations.
• Design, maintain and optimize SQL-based data solutions and reporting workflows.
• Develop Power BI reports, dashboards, and analytical deliverables for stakeholders.
• Mentor Analysts through code reviews and coaching.
• Support client reporting, regulatory reporting, and formulary analytics.

Skills

Advanced SQL

Power BI

Data modeling

Analytics leadership

Healthcare PBM data

Education

Bachelor's degree

Tools

SSMS

SQL Server analytics environments

Job description

Archimedes is seeking a Sr. Analyst- Data to join our team. The Sr.

Analyst, Data leads complex analytical initiatives and designs reliable data solutions that support analytics, reporting, and operational decision-making across the organization. This role partners with stakeholders to translate ambiguous or complex business problems into scalable analytical approaches, trusted datasets, and clear recommendations.