Engineering Analytics Product Specialist

REMOTE JOB - FULLTIME JOBS FOR ENGINEERING ANALYTICS PRODUCT SPECIALIST IN PISCATAWAY, NJ

Remote or Hybrid Schedule (3 days on site, 2 days remote) once fully trained

Job Summary

The Engineering Analytics Product Specialist will drive the adoption of clients advanced data and analytics products within specific engineering domains like transportation, telecommunications, and energy. Using specialized engineering applications, the incumbent will technically interface with prospects and customers, typically SMEs/PHDs.

As a product expert, the incumbent will collaborate closely with data scientists, sales teams, and clients to enhance product capabilities, drive sales, and ensure customer success. Technical acumen and strong interpersonal skills will be essential for building relationships with high-level technical experts in academia, industry, and government.

By driving the adoption of clients advanced data and analytics products, this position will contribute directly to revenue growth and customer satisfaction. It will also be instrumental in building strong customer relationships and fostering innovation within the engineering community.

Key Responsibilities

Product Development: Partner with the data science team to conceptualize, develop, and refine cutting-edge data analytics products tailored to specific engineering domains.

Sales Enablement: Collaborate with the sales team to articulate product value, address customer needs, and drive sales to advanced technical SMEs/PHDs

Customer Success: Provide comprehensive technical support, training, and onboarding to ensure customer satisfaction and product adoption.

Market Intelligence: Conduct market research, analyze competitive landscapes, and identify opportunities for product enhancement and expansion.

Product Documentation: Develop clear and concise product documentation, including user guides, process flows, and use cases.

Travel Information

10% Domestic and International

Education

Master's or other advanced degree Master's degree in engineering or a related field

Skills and Requirements

Proven ability to translate complex technical concepts into clear and compelling business value propositions

Strong analytical and problem-solving skills

Excellent verbal and written communication skills

Proficiency in data science tools (Tableau, SQL, Python) preferred

Experience working with high-level technical experts in academia and industry