Analytics and Modeling Lead

Corning•City of Corning, NY

2d•$95,313 - $131,056•Onsite

About The Position

The Analytics and Modeling Lead develops market models and insights that guide strategic planning, business decisions, and long-term growth. The role integrates external intelligence with commercial, operational, technical, and financial data to evaluate market trends, opportunities, and risks and deliver actionable recommendations across the business.

Requirements

Bachelor’s degree in economics, business, finance, statistics, data analytics, engineering, supply chain, or a related field.
5+ years of experience in analytical modeling, market or competitive intelligence, strategy, forecasting, finance, supply-chain or commercial analytics, consulting, or a related field.
Experience integrating quantitative and qualitative data from multiple sources and building structured, transparent, well-documented models.
Ability to interpret complex data, test assumptions, identify patterns, and draw defensible conclusions.
Strong business acumen across markets, customers, competitors, technology, operations, and financial performance.

Nice To Haves

Master’s degree in a related field preferred.
Strong analytical and problem-solving skills, including evaluating uncertainty and communicating risks and limitations.
Clear written, verbal, and presentation skills for technical, non-technical, and executive audiences.
Ability to work independently, manage priorities, and influence stakeholders in a global, matrixed organization.
Experience with market, demand, capacity, cost, or scenario models in a manufacturing, industrial, technology, advanced materials, or B2B environment.

Responsibilities

Develop and maintain models for market size, demand, capacity, growth, share, technology adoption, competitive position, value chains, and costs.
Build market outlooks, scenarios, and sensitivity analyses using internal data and external intelligence.
Monitor market, customer, competitor, economic, regulatory, supply-chain, and technology trends.
Translate findings into recommendations for strategy, planning, investments, business cases, and growth opportunities.
Partner across functions and with subject-matter experts to validate assumptions, align scenarios, and challenge conclusions.
Maintain transparent, auditable models and present results, assumptions, risks, and business implications to stakeholders and executives.