SCIEX – An operating company within Danaher’s Life Sciences platform
SCIEX helps to improve the world we live in by enabling scientists and laboratory analysts to find answers to the complex analytical challenges they face. Our leadership in LC-MS and CE-MS have made us a trusted partner globally to those who are focused on basic research, drug discovery, food and environmental testing, forensic toxicology, clinical research and diagnostics. With over 40 years of innovation, we continue to redefine what is achievable in routine and complex analysis.
We are seeking smart, team-oriented people who have purpose and are committed to helping us deliver Answers for Science. Knowledge for Life. ™ Our global team, located on every continent, is our greatest strength, bringing diverse perspectives and breakthrough thinking. With the power of the Danaher Business System behind us, it’s our people who have made us the industry leader. Come join our winning team. Visit us at www.sciex.com.
Sciex offers a broad array of comprehensive, competitive benefit programs that add value to associates' and their families' lives.
Sciex is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, national origin, religion, gender, age, marital status, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.
Join our winning team and Follow us on LinkedIn!
We are driven by data-based decision making. If you are a highly driven Business Analyst and aspire to be a Data Scientist on our global business intelligence and data analytics team, we want to speak with you!
As a part of Danaher, Sciex uses our Danaher Business System to improve. In this role, your self-motivation and passion for cool math will drive you to investigate business issues, propose solutions, and participate or take the business lead as part of an initiatives team to move the business forward. You’ll improve profits and efficiency for our commercial business by analyzing market metrics and P&L impact.
If you can do the following, you should apply today!
Our data analysts articulate the implications of complex data and can translate results from complex analyses into actionable business insights. You will lead analytics projects independently by gathering initial requirements from the business and driving projects to completion.
? You will develop and implement predictive analytics models and multivariate statistical techniques (e.g.: service demand/revenue growth forecasting, territory optimization, logistic regression, customer segmentation, clustering, etc.)
? Refine and document requirements, develop models and analyses to make data-driven decisions and recommendations
? Develop and utilize monthly/daily management dashboards, perform data and process analyses as required
? Collaborate with key business stakeholders to construct and maintain KPIs
? Update KPIs to support monthly operations and key business meetings and discussions
? Closely work with global commercial teams around the world to support their efforts and to help interpret data.
? Identify improvement opportunities to KPIs tracking and updates, and automate the process as needed
? Connect data from various sources to uncover insights to drive critical business decisions and growth
? Collaborate with IT team to establish necessary infrastructure to advance business intelligence efforts
? Participate in PSP/Kaizen as the analytics lead and drive objective conversation to identify root causes and countermeasures
Education and/or Work Experience Requirements: At least a bachelor's degree in business, management, accounting, economics, statistics, information science or similar.? Minimum of 5 years’ experience working in analytics or relevant field? Solid computer skills, including Microsoft Office, databases, scientific computing tools (e.g. Python, R, MATLAB), scripting tools (e.g. PowerShell, VBA)? Solid statistical/mathematical modeling foundation and interest (e.g. multivariate statistics, MILP/MINLP, machine learning, Bayesian inference)? Familiarity and experience with business reporting and analytics tools such as Microsoft PowerBI or equivalent? Computer programming & relational data modeling skills strongly preferred