Honeywell Analytics Manager - R&D in Des Plaines, Illinois
Analytics Manager - R&D
Join a team recognized for leadership, innovation and diversity
Reporting to the Sr. Manager of Intellectual Capital Management, the Manager of R&D Analytics draws upon knowledge of data analysis and advanced analytics, chemistry, and chemical engineering practices to support R&D initiatives and effectively solve data challenges to fuel innovation. He/she will drive the identification of opportunities for innovative analytics (i.e., descriptive, prescriptive and predictive) in R&D, including definition, design, implementation, and validation of cutting-edge algorithms to analyze diverse sources of data. He/she will ensure targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, text mining, clustering and classification techniques. He/she will coordinate centralized data analytics capabilities across R&D functions and collaborate with R&D stakeholders, SME’s, IT, and suppliers to explore and develop analytical approaches and solutions, and advance socialization of techniques and new technologies throughout the global R&D organization.
-Support R&D data analytics initiatives in collaboration with R&D leaders, SMEs, process and system owners, IT, and consultants, to deliver data-driven research projects through organization of team efforts and hands-on approach
-Work closely with R&D SMEs, process and system owners to define data analytics, visualizations, and reporting needs and provide interactive and coordinated data solutions via centralized R&D analytics.
-Actively listen, integrate input from diverse sources, and collaboratively translate scientific and engineering questions into data and analysis requirements
-Oversee the ingestion and classification of experimental data sources and ensure the processing, cleansing, and integrity of data used for analysis.
-Perform ad-hoc data analysis and present results in a clear manner.
-Enhance data collection procedures to include information that is relevant for building analytic systems.
-Extend company’s data with third party data sources of information when needed.
-Organize and analyze large datasets to get actionable insights and identify innovative ways to create meaningful data visualizations that make a business impact.
-Stay current with relevant computer science and statistical methods.
50 Identification & definition of projects & project coordination
10 Socializing techniques & technologies
10 Coordination internal/external partner resources
10 Data analysis
YOU MUST HAVE
- B.S. degree in a scientific or data-related discipline
- 5+ years of experience working in chemistry/chemical engineering or similar environment
- 2+ years of experience as a data scientist or related
-Advanced knowledge of analytical approaches, including machine learning, statistical analysis, predictive modeling, visual analytics, and providing end-to-end data visualizations/analytics solutions
-Advanced knowledge of data analytics and visualization tools (e.g. QlikView, Tableau, etc.)
-Excellent communication skills and internal consulting capabilities, with proficiency managing projects across various stakeholder and contributor groups
-Strong understanding of SQL, relational databases, and data modeling experience
-Advanced hands-on scripting experience in PERL, Python or similar
-Degree in chemistry or chemical engineering strongly preferred
-Industry experience preferred
-Experience analyzing data from traditional R&D data sources (experimental records, LIMS, etc) is preferred
-Experience with Hadoop or similar platforms and related “big data” technologies is preferred
-Experience working in Cloud Computing environments is preferred
Exempt Performance Materials and Technologies
- Continued Professional Development
- Job ID: req133996
- Category: Technology R&D
- Location: 50 E Algonquin Rd, Des Plaines, IL 60017-5016 USA
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
For more information on applicable equal employment regulations, refer to the EEO is the Law poster .
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