Job Description :
Analytics Lead – Manufacturing
Location: Troy, MI
Term: Full Time onsite

Advanced Analytics & Data Science (AADS) value engine of ITG develops and delivers innovative Analytics Solutions and Services to global manufacturing customers.
The AADS team is seeking an experienced analytics lead to join a multi-disciplinary team for developing the next generation of analytics solutions, drawing on state of the art technologies including big data, mobility, cloud platforms, intelligent analytics and the Internet of Things (IoT), for solving business problems across various functions in manufacturing industry.

Responsibilities:
10-15 years, Engineering background
Industry experience: Automative, industrial-Plant floor experience, Consulting, Analytics

Business domain expertise: Manufacturing, Quality
Technology Experience: Statistical tools, MES Solutions

This individual will:
Engage with global customers to identify new leads/requirements based on customer business challenges and strategies in Big Data Analytics domain.
Provide thought leadership in building prototypes for potential opportunities across various functions within manufacturing industry.
Define Analytics strategy and solutions along with technical requirements of the solutions to meet the demands of business requirements.
Lead the design and development of analytic models and software applications using large data sets and real time information flows.
Works collaboratively with software development teams, data scientists, systems engineers and analysts across multiple geographies and functions to develop and deliver enterprise analytics solutions.
Demonstrate performance to business leadership and help deploy the application in enterprise customer IT architectures.

Qualification:
Must Have:
Strong domain knowledge across all business functions in manufacturing industry
Minimum of 5 years of experience in leading analytics engagements globally
Experience in customer facing roles and business development
Experience in applying analytical models for solving business problems in Manufacturing industry
Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural network, association rules, sequence analysis, cluster analysis, and text mining
Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
Excellent communication and presentation skills
Advanced Analytics & Data Science (AADS) value engine of ITG develops and delivers innovative Analytics Solutions and Services to global manufacturing customers.
The AADS team is seeking an experienced analytics lead to join a multi-disciplinary team for developing the next generation of analytics solutions, drawing on state of the art technologies including big data, mobility, cloud platforms, intelligent analytics and the Internet of Things (IoT), for solving business problems across various functions in manufacturing industry.

Responsibilities:
10-15 years, Engineering background

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