Associate-Data Analytics

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Job description

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.

It's an exciting time to be a part of Lilly. We're innovating and finding creative ways to reach our patients in new and meaningful ways. In order to do this, we need the right talent in the right roles. Consider joining Team Lilly today!

We are looking for a highly skilled Finance Analytics professional to join our Finance Data Strategy team. In this role, you will use advanced technologies, including AI and machine learning, to model, extract actionable insights, and analyze key financial metrics, driving our global financial data strategy forward. Your efforts will streamline data and analytics in Finance, ensuring our financial strategies are data-driven to enhance decision-making and increase efficiency. This position reports to the Senior Director of Financial Data Strategy within the Digital Finance Organization.

Do you have a strong analytical approach to identify trends, anomalies, and correlations in data, coupled with a growth mindset and the ability to navigate ambiguity? Lilly is looking for you to join our team!

Key Responsibilities:

• Develop and implement sophisticated data models and analytics frameworks to derive actionable insights from large, complex financial datasets. Use these insights to influence key decisions across profitability, revenue growth, cost management, and global financial performance.
• Conduct advanced financial analytics, using predictive and prescriptive modeling techniques to uncover trends, forecast future outcomes, and provide data-driven recommendations that support strategic financial planning and optimization efforts.
• Apply advanced analytics and data visualization tools to deliver deep insights into financial metrics, enabling leadership to make informed, strategic decisions. Use tools like Power BI, Tableau, and Python to create dynamic, interactive dashboards and reports that provide clarity and context.
• Drive the analytics agenda, promoting a data-driven culture where insights are central to all strategic decisions. Find opportunities to apply analytics in optimizing processes, improving accuracy, and enhancing financial performance across all business divisions.
• Lead the development of KPIs and performance measurements based on real-time data analysis, ensuring continuous monitoring and evaluation of financial performance. Use these metrics to identify potential risks, opportunities, and areas for improvement.
• Collaborate with cross-functional teams, including Finance, Data Science, and Engineering, to implement best practices in financial data analytics, ensuring alignment with business goals and promoting efficient data usage.
• Serve as a key driver of financial insights, translating raw data into meaningful, actionable intelligence that supports long-term financial strategy, cost efficiencies, and profitability.
• Ongoing improvement and innovate in the area of financial data analytics by staying up to date with the latest technologies, methodologies, and industry trends. Drive the adoption of new tools and techniques that enhance the accuracy, speed, and effectiveness of data analysis.
• Translate complex financial data findings into clear, concise narratives and recommendations for various partners, including executive leadership.
• Drive data-driven decision-making processes within the finance department and across Eli Lilly's global operations, ensuring that financial strategies are informed by the best available data.
• Develop and apply best practices in financial data analysis and causal modeling, focusing on the global pharmaceutical industry.
• Ensure data quality and adherence to data governance policies, maintaining the integrity of financial data across the organization.

Minimum Requirements

• Bachelor's degree in business or STEM related field (Finance, Statistics, Computer Science, Data Analytics, Business Analytics, Economics, Mathematics, Engineering, etc.)
• Minimum 5 years of experience in analytics, with a focus on applying advanced data analytics, IT solutions, and financial modeling to drive strategic business outcomes.
• 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 and/or visas for this role.

Additional Skills/Preferences

• Ability to break down complex business problems to find actionable insights, with expertise in storytelling with data and presenting insights clearly.
• Strong organizational and relationship skills, with flexibility in varying environments and with multiple customer groups.
• Experience with data quality management, proficiency in SQL, and creating dynamic dashboards using tools like Power BI, Tableau, Looker, or Qlik.
• Demonstrated strong teamwork, communication, leadership, and influence skills, with the ability to gather requirements and lead successful implementation of complex processes.
• Experience in cross-functional collaboration, basic competence in coding languages (Python, R, SAS, etc.), and familiarity with cloud-based tools like Google BigQuery, AWS Redshift, or Microsoft Azure.
• Willingness to challenge and speak up, with strong problem-solving skills, attention to detail, and accuracy.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.

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