Data Analytics Strategist

1 day ago

Troy, Michigan, United States TEPHRA Full time
Job Title: Analytics Lead

At TEPHRA, we are seeking an experienced Analytics Lead to join our Innovation & Transformation Group (ITG) within the manufacturing vertical. Our team provides unique business consulting services in Aero, Industrial Machinery, Process, and Agri industries.

Job Description:

We are looking for a talented individual to develop and deliver innovative Analytics Solutions and Services to global manufacturing customers. The Analytics 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 the manufacturing industry.

Responsibilities:
  • 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 the 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.
  • Work 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:
  • Strong domain knowledge across all business functions in the 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 the 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.
Good to Have:
  • MStat / other PG degree in Engineering, Statistics, Mathematics, Physics, Manufacturing Operations Management.

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