Market Intelligence Analysts

PCOnline; Newark (DE); Hybrid; USD 60,000 - 90,000; Full time

Job summary

PCOnline is seeking Market Intelligence Analysts to transform market and business data into actionable insights for product strategy and growth. The role requires strong statistical and analytical skills and experience with Python, R, SQL, and BI tools.

You will analyze product performance, pricing trends, and market dynamics using large datasets, and you will manage data-driven projects while supporting cross-functional initiatives across the organization.

Qualifications

• Master’s degree in Market Research or related field with 1 year analytics experience.
• Bachelor’s degree with 3 years of analytics experience accepted.
• Experience with statistical analysis, data modeling, and quantitative problem-solving.
• Proficiency with Python, R, SQL and data visualization tools.
• Knowledge of e-commerce data structures and market dynamics.

Responsibilities

• Analyze market and business data to drive product strategy and growth.
• Examine product performance, pricing trends, and market dynamics using large datasets.
• Manage data-driven projects and support cross-functional business initiatives.

Skills

Statistical analysis

Data modeling

Quantitative problem-solving

Consumer behavior analysis

Market research methodologies

Cross-functional collaboration

Education

Master’s degree in Market Research/Analytics

Bachelor’s degree in related field

Tools

Python

R

SQL

Tableau

Job description

Market Intelligence Analysts:

Analyze market and business data to drive product strategy and growth. Master’s degree in Market Research, Data/Business Analytics, Information Systems, Statistics or a related field and 1 year statistical analysis experience in the electronics e-commerce industry, also accept Bachelor’s degree and 3 years’ experience in the same fields. Must have experience in/with statistical analysis, data modeling, and quantitative problem-solving, data analysis tools such as Python, R, and SQL, data visualization and business intelligence tools (e.g., Tableau), market research methodologies, consumer behavior analysis, and e-commerce data structures, analyzing product performance, pricing trends, and market dynamics using large datasets, and managing data-driven projects and supporting cross-functional business initiatives.