Analyst Data and Analytics - IT M&Q

US: Indianapolis IN Tech Center South

Eli Lilly and Company

Lilly is a medicine company turning science into healing to make life better for people around the world.

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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.

Position Brand Description:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

The Lilly Technology group is actively looking for self-starters who like to solve problems. Are you passionate about technology and determined to deliver impactful technology solutions?  If so, please apply.

What You’ll Be Doing:

The Lilly Technology group is actively looking for self-starters who like to solve problems. Are you passionate about technology and determined to deliver impactful technology solutions?  If so, please apply. At Lilly, we offer many roles that utilize various technical capabilities across a wide range of business areas. In addition to helping Lilly deliver lifesaving medicines, you will work in key business areas using many of the technology capabilities outlined below:

• Cloud Engineering - Cloud architecture defines a network of interconnected components

covering applications, services, data, and infrastructure.

• Data Engineering, Data Science & Machine Learning - Develop, deploy, and use advanced data/algorithm

capabilities that empower decision-making across the company

• Digital Product Operations - Deploy and support the digital elements that enable our molecules,

devices, apps, algorithms, and data

• Cyber Security - People-centric, secure, vigilant, and resilient, capabilities that protect

information, products, and systems enabling Lilly to deliver on its mission.

How You’ll Succeed:

  • Be Bold - We are looking for an innovator to tackle tough challenges in enabling Lilly Manufacturing and Quality (MQ) organization to unleash the power of Data.
  • Be Fast - We need someone who is willing to have an agile mindset and innovate/deliver at the pace of MQ and the Growth of the organization.
  • Be Engaging - We need a technologist who will engage with the entire IT MQ organization, to bring the best solution, to solve business problems. The technologist will help support, maintain and improve the data architecture, data and analytics platforms and the solutions delivered to the business.

What You Should Bring:

  • Hands on experience with Large Language Models and unstructured and structured data analytics
  • Experience with AI, Deep Learning, GenAI, and Vision Analytics.
  • Experience in following tools:

Cloud: AWS or Azure

Analytics/Visualization: PowerBI

Coding: R, Python, C++/Java

  • Knowledge of DevOps, Data Ops and ML Ops
  • Knowledge of end-to-end Data Management concepts such as data lakehouse, ingestion pipelines, data catalogue, data lineage, data visualization, sematic modelling, etc.

Basic Qualifications:

  • Bachelor’s degree in computer science, Computer Engineering/Technology, Information Technology, Security, or another relevant field.
  • Minimum 3 years of Data Science experience, including experience with Large Language Models and unstructured and structured data analytics.

Additional Preferences:

  • Master’s degree in computer science, Computer Engineering/Technology, Information Technology, Security, or another relevant field.
  • Knowledge of Pharma and Manufacturing a plus
  • Solid skills in problem analysis and problem solving.
  • Well-developed written and verbal communication skills
  • Proven teamwork/interpersonal skills
  • Leadership experience inside and/or outside the classroom or industry
  • Familiarity with design, development, and operational methodologies (I.e. Agile, Waterfall, ITIL)
  • Passion for working on a team from diverse backgrounds.
  • Familiarity with gathering and writing technical requirements.
  • Familiarity with Agile concepts, methodology and framework

Other Information:

Position is based in Indianapolis and may involve 10% travel.

#WeAreLilly

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 (https://careers.lilly.com/us/en/workplace-accommodation) 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.

#WeAreLilly

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile Architecture AWS Azure Computer Science Data Analytics Data management DataOps Data visualization Deep Learning DevOps Engineering Generative AI ITIL Java LLMs Machine Learning Pharma Pipelines Power BI Python R Security

Perks/benefits: Career development

Region: North America
Country: United States

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