Sr. Analyst, Data

CompanyArchimedes

About Us

Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at

to be considered for internal opportunities.________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.

Pay Range

USD $0.00 - USD $0.00 /Yr.

STAR Bonus % (At Risk Maximum) 0.00 - Ineligible

Work Schedule Description (e.g. M-F 8am to 5pm)

M-F 8am to 5pm

Remote Work Notification

ATTENTION: Archimedes is only able to offer remote work to residents of Alabama, Colorado, Florida, Georgia, Indiana, Illinois, Iowa, Kansas, Kentucky, Maryland, Minnesota, Missouri, New Hampshire, New Jersey, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Virginia, Wisconsin.

Overview

Archimedes is seeking a Sr. Analyst- Client Support, 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. The Sr. Analyst, Data has deep knowledge of Archimedes business offerings, healthcare and pharmacy benefit management data, analytical workflows, and data dependencies. Leveraging advanced SQL expertise, data modeling knowledge, and strong business judgment, this role promotes best practices, improves legacy and modern reporting processes, mentors other analysts, and helps ensure that the organization makes decisions using accurate, well-understood data. Is this you? Find out more below Responsibilities

How do I make an impact on my team? Lead complex, cross-functional, analytical projects from business problem definition through data analysis, validation, stakeholder communication, and final delivery. Translate ambiguous business questions into analytical plans, reusable reporting logic, scalable datasets, and actionable recommendations. Design, maintain, and optimize SQL-based analytical solutions, data models, views, stored procedures, and recurring reporting workflows supporting operational and strategic needs. Write and review advanced SQL using SSMS, including complex joins, CTEs, window functions, temporary tables, stored procedures, performance-aware query design, and robust validation logic. Analyze pharmacy claims, member, client, drug, formulary, rebate, network, provider, clinical, operational, and financial datasets to identify risks, opportunities, trends, and decision points. Serve as a subject matter expert for assigned business domains, datasets, metrics, reporting processes, and data dependencies. Advise stakeholders on metric definitions, data interpretation, analytical trade-offs, appropriate methodology, assumptions, limitations, and recommended actions. Develop and enhance Power BI reports, dashboards, semantic models, and analytical deliverables used by business stakeholders and leadership. Establish and promote practical standards for data validation, documentation, report design, quality assurance, peer review, and maintainable analytical code. Investigate complex data quality issues, reconcile outputs across systems, identify root causes, and recommend durable process or data improvements. Lead modernization and continuous improvement efforts that reduce manual work, improve reliability, increase scalability, and clarify ownership of recurring analytics processes. Mentor Analyst, Data and Analyst II, Data team members through code review, analytical review, documentation, technical coaching, and business context