Productivity & Analytics Engineer

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Employer - Dow
Category - Analytics-Business-Intelligence
Job title - Productivity & Analytics Engineer

Job Description
Dow is looking for a talented Senior Engineers to support different productivity and reliability improvement initiatives, to be located in Chennai, India. This is an exciting opportunity that can provide personal significant growth and exposure opportunities working with several Dow Sites as well as the Productivity, Analytics Reliability & Maintenance function.

Introduction :
This role leads efforts to improve all aspects of reliability, maintenance and operations work processes and to collect & analyze data that in turn will be used to further optimize our processes.
Ideal candidate for this role should have Bachelor’s or Master’s degree in Chemical/ Mechanical/ Industrial Engineering. The candidate should have good knowledge of industrial engineering concepts, statistics and computer programming languages gained through coursework or projects.

Key Responsibilities :
Lead and execute key productivity improvement projects
Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed.
Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for said purpose
Establishing and maintaining key metrics focusing on leading indicators to improve reliability
Work with individual zone reliability engineers to execute the improve reliability work process, including maintaining the site reliability metrics (Reliability, Turnaround, Productivity, etc).
Develops processes to utilize other data sources to validate & improve planning standards
Develops management reports on productivity based on advanced data mining & analytics
Support site teams and networks using LEAN fundamentals: Maintenance Group Leaders Team, Planner Networks (Daily & Turnaround), Work Coordinator Network and Scheduler Networks, Reliability Engineer Network, Production Planning
Explore latest technologies in data mining and modeling, and their applications in context of maintenance and reliability projects

Preferred Qualifications:
Bachelors/Masters of Science degree in Industrial, Mechanical, or Chemical Engineering from Indian Institutes of Technology, National Institutes of Technology or Equivalent Universities; Masters degree from IITs or any Universities abroad can be an added qualification
Background in scripting languages (VBA), either through coursework or projects
Solid data analysis skills, and knowledge of statistical and analytics software such as R, JMP, Tableau.

Additional Experiences preferred but not required:
5-8 years’ Experience in areas such as manufacturing, maintenance, application of LEAN principles, advanced data analytics/modeling
Six Sigma Experience

Dow Offers:
A robust total rewards program, including: competitive base pay, variable pay that rewards individual, team, and Company performance, and comprehensive benefits
On-going learning opportunities within a diverse, inclusive and rewarding work environment
Career experiences that can span different Dow businesses and functions with opportunities for personal and professional growth
The chance to work within a global company and interact with colleagues from around the world
Opportunities that spark your imagination and ignite your passion to help others

About Dow
Dow (NYSE: DOW) c

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Job Location Chennai, Tamil Nadu
Date Posted 15 Jan 2020
Employer Email --No Email
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