IT Project Analyst

Job Title: IT Project Analyst
Location: Indianapolis, IN 46221
Duration: 3 Months+ (possibility of extension)
 
Position Description
The Associate, LillyDirect Performance Operations plays a critical role in executing the operational and analytical foundation of LillyDirect. This position supports the implementation of data strategy, performance tracking, and insight generation to optimize consumer experience and business outcomes. The ideal candidate thrives in a fast-paced, ambiguous environment and demonstrates strong analytical, communication, and execution skills.


Key Responsibilities:
1. Execute and Maintain Data Strategy Operations:

• Support the implementation of LillyDirect’s data strategy by ensuring data availability, quality, and compliance.
• Collaborate with BI&A, Tech@Client, and external partners to maintain and enhance existing data sources, depending on business needs.
• Assist in documentation of data strategy across teams.

2. Monitor and Report Performance Metrics:

• Provide requirements for dashboards based on KPIs aligned with strategic goals.
• Track and report performance metrics to inform key business stakeholders.
• Develop measurement plans for key business initiatives in collaboration with brand teams or other teams within LillyDirect.
• Ensure timely updates and accuracy of reporting tools to support decision-making.

3. Deliver Actionable Insights and Operational Support:

• Conduct analyses using SQL and Excel to measure performance, and identify trends or opportunities to improve the LillyDirect customer experience.
• Translate data into clear, actionable insights for internal stakeholders.
• Support issue resolution through data-driven problem-solving and cross-functional collaboration.
• Work cross functionally with BI&A and Tech@Client to address urgent operational challenges when needed.
• Support targeting efforts for marketing communications sent to HCPs.
   

Qualifications:
Basic Requirements:

• Bachelor’s degree in business, marketing, computer or data science, or related discipline.
• Proficiency in SQL and Excel.
• 1-3 years of work experience.
   

Preferred Qualifications:

• Strong analytical skills with attention to detail and business acumen.
• Excellent communication skills with the ability to simplify complex concepts.
• Proficiency in MS Word and PowerPoint.
• Ability to work cross-functionally and influence without direct authority.
• High learning agility and adaptability in ambiguous environments.