Data Analyst

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year

• An excellent retirement savings plan with high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

This Data Analyst position can work out remotely within the U.S.

As a Data Scientist, you will play a crucial role in shaping our data-driven strategies and contributing to the success of our Big Data initiatives at ADC. You will be responsible for designing, developing and deploying advanced data science solutions to uncover customer, product and operational insights from complex datasets. Candidate should be able to work on a geographically distributed team. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques.

The ideal candidate should have rigorous analytical, ML and AI capabilities and a pragmatic mindset to help solve our most complex business problems. Highly sought-after qualities include versatility and a desire to continuously learn, improve and empower other team members.

What You’ll Work On

• Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards and segmentation.

• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information

• Proactively analyze data and trends to provide insights and recommendations that drive business strategies.

• Build, validate, and optimize predictive models using machine learning algorithms to ensure accuracy and performance.

• Create and maintain dashboards and reports using data visualization tools to communicate findings and insights to technical and non-technical stakeholders.

• Ensure data quality and consistency by cleaning, transforming, and normalizing data, while maintaining a central source of truth.

• Contribute to data security and confidentiality by maintaining appropriate access controls, encryption and backup procedures.

• Collaborate with cross-functional teams including R&D, Global Strategic Marketing, Quality, etc. to identify data needs and provide data-driven solutions.

• Provide training and support to team and business partners to enhance data literacy.

• Stay updated with the latest developments in data science and machine learning to continually improve data analysis methodologies and techniques.

• Proactive thinking and ideation to facilitate ongoing, open dialogue where information and ideas are shared to generate solutions.

• Identify opportunities for innovation and propose data-driven solutions.

• Maintain comprehensive documentation of data analysis processes, methodologies and findings.

Qualifications

• Bachelor’s degree in