Associate Director Data Analyst

Lilly • Indianapolis, IN

3d

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Lilly is seeking an Associate Director, Data Analyst to support and advance investigations into frauds, knockoff medicines, and other civil and criminal violations as part of Lilly Legal’s Special Investigations Unit (SIU). This position will report to the Associate Vice President, Assistant General Counsel – Special Investigations. The role will be an integral part of Lilly’s efforts to combat financial and healthcare fraud, the illicit distribution of counterfeit and substandard drugs, theft and diversion of Lilly products, and related civil and criminal violations. In this role, you will collect, clean, analyze, interpret, and validate large and diverse datasets to identify patterns, anomalies, and evidence in support of investigations and litigation. Additionally, this role will support internal partners, regulators, and law enforcement. The successful candidate will bring a strong background in data analysis, accounting, and forensics, as well as experience working in a legal, compliance, or investigative environment.

Requirements

• 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 F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Nice To Haves

• 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.

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 in support of 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.
• Throughout all assignments and investigations, maintain company confidential information, use discretion in conducting sensitive investigations, comply with all national and local laws, and preserve all applicable privileges.

Benefits

• Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).
• Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees