Enterprise Market Analytics & Forecasting Analyst

Philips International

Cambridge (MA)

On-site

USD 104,000 - 165,000

Full time

7 days ago
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Benefits offered by this job

PTO
401k
HSA
Stock purchase plan
Education reimbursement

Job summary

Philips is seeking an Enterprise Analyst in Cambridge, MA to join the Market Analysis & Forecasting (MA&F) team. You will support market sizing and forecasting models, analyze trends and competition, and translate data into enterprise-level insights for strategic decisions.

You will collaborate with global stakeholders across Businesses, Regions, and Functions, contributing to tool and data improvements while leveraging Excel and advanced analytics in a cross-functional setting.

Qualifications

  • Bachelor's degree in Business, Economics, Mathematics, Engineering, Finance, Data Science or equivalent.
  • 3+ years in market analysis, strategy consulting, or equivalent experience.
  • 2+ years in strategic consulting and market modeling; 1+ year in forecasting is preferred.
  • Strong Excel, data analytics and stakeholder management skills.

Responsibilities

  • Support development and maintenance of market sizing and forecasting models.
  • Analyze market trends, competitive dynamics and growth drivers.
  • Translate data into clear, actionable insights for enterprise decision-making.

Skills

Excel
Forecasting
Market modeling
Data analytics
KPI reporting
Stakeholder management
Business case analysis
Economics
App development
Chatbot
Codex

Education

Bachelor's degree in Business, Economics, Mathematics, Engineering, Finance, Data Science

Tools

Codex
Chatbot
App development

Job description

Philips is seeking an Enterprise Analyst in Cambridge, MA to join the Market Analysis & Forecasting (MA&F) team. You will support market sizing and forecasting models, analyze trends and competition, and translate data into enterprise-level insights for strategic decisions.

You will collaborate with global stakeholders across Businesses, Regions, and Functions, contributing to tool and data improvements while leveraging Excel and advanced analytics in a cross-functional setting.

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