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: Senior Master Data Analyst About Abbott
Abbott is a global healthcare leader, creating breakthrough science to improve people's health. We're always looking towards the future, anticipating changes in medical science and 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. Free medical coverage for employees* via the Health Investment Plan (HIP) PPO 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 position works out of our Lake Forest, IL location in the Core Lab Division. Our diagnostic solutions are used in hospitals, laboratories, and clinics around the globe. The crucial information derived from our tests, instruments and informatics systems are often the first step in patient care decision making for hundreds of health conditions from heart attacks to blood disorders to infectious diseases and cancers.
As the Senior Master Data Analyst, you'll be primary liaison between master data, IT, and cross functional teams. You'll be providing direct support to assigned business areas and will work directly with clients (internal/external). As an analyst, you will apply IT, Python programming, business knowledge, and experience to develop solutions for day-to-day problems and future projects/procedures. You will also be expected to eventually lead department level initiatives and provide assistance to Program/Project Managers on all phases of current and future projects.
What You'll Work On Collaborate with internal and external partners on projects, issues, and more to foster automation and innovation. Participate in training sessions for multiple applications and procedures which may lead to you becoming a SME (subject matter expert) that will conduct these trainings. Independently takes the initiative to develop documentation, innovative solutions/process improvements, and looks to optimize standard operating procedures. Utilizes critical thinking and available resources when problem solving. Must be open to feedback and can thrive within a fast paced and highly dynamic environment. Can pivot between multiple tasks and procedures throughout the day. Works with minimal management direction. Develop, maintain, and execute Python scripts and environments. Develop and maintain multiple routing applications, dashboards, trackers, and flows in SharePoint and Power Automate. Learn, document, and upload new year cost loads in SAP. Learn and document all aspects of the yearly PLAN cycle in the Financial Product Hierarchy. Perform analysis and cleanup of master data for numerous corporate projects. Adheres to morning and evening check in/outs. Promptly reviews/responds to all incoming messages, emails, etc. Maintains a professional, respectful, and open/collaborative environment. Required Qualifications Bachelors Degree or equivalent experience. 4-7 years of experience. Preferred Qualifications Bachelor's Degree or equivalent experience. 4+ years of business experience. 4+ years of Python experience. Strong and proven desire to learn, innovate, and optimize above all else. Strong communication skills, including presentation and training. Ability to facilitate between the business and technical (IT) community. Strong analytical skills in terms of data, processes, and systems. Knowledge of Informatica IDD (aka MDM) environment. Strong MS Office Skills, especially MS Excel and MS Access. Experience with Data Warehouses. Cognos/Toad/Power BI and SQL skills. Experience with AS400. Knowledge of diagnostics business, including products, markets, and business models.
* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is
$72,700.00 - $145,300.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
IT Business Relationship Management
DIVISION:
CRLB Core Lab
LOCATION:
United States > Lake Forest : CP01
ADDITIONAL LOCATIONS: WORK SHIFT:
Standard
TRAVEL:
Yes, 5 % of the Time
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday), Work requiring repeated bending, stooping, squatting or kneeling
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf