Associate Director Data Analyst

Lilly is seeking an Associate Director, Data Analyst to support investigations into fraud, counterfeit medicines, and other civil and criminal violations as part of Lilly Legal’s Special Investigations Unit (SIU). The role reports to the Associate Vice President, Assistant General Counsel – Special Investigations.

Key Responsibilities

• Pull, clean, normalize, and analyze large and complex datasets from internal Lilly systems (such as transactional, claims, distribution, and pricing data) and external sources to support investigations.
• Work collaboratively with lawyers, investigators, forensic laboratory analysts, and intelligence professionals to initiate, advance, and conclude investigations.
• Identify data anomalies, irregular patterns, and statistically significant trends that may indicate fraud, diversion, counterfeiting, or other legal violations.
• Validate data to evidentiary standards for use in litigation or referrals to law enforcement, and appropriately qualify uncertainty in analysis.
• Develop and maintain data pipelines, dashboards, and automated monitoring tools to proactively surface high‑value investigative leads.
• Prepare clear, well‑documented analytical reports, visualizations, and data summaries that support investigative strategy and enforcement actions.
• Work with Legal and compliance partners to advise on data‑driven risk mitigation, controls improvements, and fraud prevention measures.
• Consolidate and integrate data across Lilly systems and help manage access and data governance in support of SIU operations.
• Perform detailed documentation of analytical methods and findings within the SIU’s internal case management system.
• Partner with outside counsel, experts such as forensic accountants, and law enforcement on investigations and any resulting civil or criminal actions.
• Maintain company confidential information, use discretion in conducting sensitive investigations, comply with all national and local laws, and preserve all applicable privileges.

Basic Qualifications

• Bachelor’s degree in data science, statistics, mathematics, computer science, economics, accounting, or a related quantitative field.
• Minimum of five years’ experience in data analysis, data science, or quantitative analytics, preferably in a healthcare, financial crimes, legal, compliance, or investigative context.
• Five years’ hands‑on experience pulling, cleaning, and analysing large and complex datasets using tools such as SQL, Python, or R, with a proven ability to identify anomalies, patterns, and statistically significant trends across transactional, claims, or other high‑volume data environments.
• Qualified applicants must be authorized to work in the United States on a full‑time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to:
• Visa categories:
• F‑1 CPT
• F‑1 OPT
• F‑1 STEM OPT
• J‑1
• H‑1B
• TN
• O‑1
• E‑3
• H‑1B1
• L‑1

Preferred Skills

• Experience working with data visualization tools (e.g., Tableau, Power BI, or equivalent).
• Experience handling sensitive, confidential, or legally privileged data with appropriate discretion and security.
• Experience with healthcare claims data, pharmacy benefit data, and pharmaceutical supply chain data.
• Familiarity with fraud schemes in healthcare, such as co‑pay assistance abuse, improper claims, and international and domestic diversion.
• Experience building and maintaining automated monitoring tools or alert systems for proactive fraud or anomaly detection.
• Familiarity with OSINT data sources and techniques applicable to investigative analytics.
• Experience working with forensic accountants, investigators, or outside counsel on investigation‑related data production (e.g., discovery, regulatory inquiries).
• Outstanding interpersonal, oral, and written communication skills and the ability to perform duties independently with minimal supervision.
• Excellent interpersonal skills and ability to interact with people of varied backgrounds, cultures, and nationalities.
• Advanced degree (Master’s or equivalent) in a quantitative discipline.

Additional Information

• At times the candidate will be expected to work outside the normal daytime work hours.
• Occasional domestic travel may be required.

Compensation & Benefits

The anticipated wage for this position is $127,500 – $204,600. Eligible employees also receive a comprehensive benefits package that includes a company‑sponsored 401(k), pension, vacation and leave benefits, medical, dental, vision, and prescription drug coverage, flexible spending accounts, life and mortality insurance, and wellness programs.

EEO Statement

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

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