Sr. Analyst, Laboratory Analytics

Abbott•Madison, WI
•$78,000 - $156,000•Onsite

About The Position

The Senior Analyst, Laboratory Analytics is a cross-functional internal consultant who supports several business units, primarily Laboratories, as well as other enabling functions. The role conducts quantitative and qualitative analyses to inform company strategy and help the business operate more efficiently and effectively. It supports strategic and operational decision-making by analyzing company data, measuring the effectiveness and economics of initiatives, and communicating findings to leadership and stakeholders. The position works across a matrixed, cross-cultural environment and may require travel.

Requirements

  • Bachelor’s degree in Engineering, Math, Physics, Computer Science, or a related field; alternatively, a high school diploma/GED and 4+ years of relevant experience in lieu of a bachelor’s degree.
  • 5+ years of relevant business experience.
  • 3+ years of direct business analytics experience.
  • Proficiency in a visualization tool, preferably Tableau, and Microsoft Office, especially Excel and PowerPoint.
  • Experience with computer programming in R, SAS, Python, SQL, or another language.
  • Demonstrated ability to perform the essential duties, with or without accommodation.
  • Authorization to work in the United States without sponsorship.
  • Strong analytical skills and business intuition, with the ability to build consensus across functions.
  • Excellent interpersonal and communication skills and ability to work in a matrixed, cross-cultural, cross-functional environment.
  • Adaptability, openness to change, and ability to work in ambiguous situations and respond effectively to new information or unexpected circumstances.

Nice To Haves

  • Experience with simulation software such as Simul8, Arena, Simio, or AnyLogic.
  • Experience in laboratory, healthcare, or medical device industries.
  • Working understanding of database design and data modeling.
  • Working understanding of statistical methods for data analysis.
  • Experience with Lean Six Sigma and statistical process control.

Responsibilities

  • Build and maintain analyses, models, and dashboards for process optimization, forecasting, capacity planning, economic optimization, and performance management.
  • Analyze company data to identify trends, issues, and opportunities for improvement.
  • Support fact-based decision-making and measure the operational effectiveness and/or economics of company initiatives.
  • Evaluate the economic and/or operational impact of new products and strategies.
  • Compile and communicate findings to leadership and stakeholders verbally, visually, and in writing.
  • Perform ad hoc reporting and analysis as needed.
  • Support multiple business units and functions in making strategic decisions.
  • Liaise cross-functionally with groups including finance, HR, business development, sales, marketing, IT, and R&D.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with company Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Work on a mobile device, tablet, or computer and/or perform typing for approximately 100% of a typical working day.
  • Travel away from the work location; the description states travel may include overnight or weekend travel and lists travel as 5% of the time.
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