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Competitive Analysis Intern Jobs (NOW HIRING)

Securitas Technology

Engineering Intern

Elmsford, NY · On-site

$17.75 - $23/hr

We are currently looking for a driven, detail-oriented, and analytical Business Analyst Intern to ... Conduct market research and competitive analysis to identify industry trends and business ...

Securitas Technology

Engineering Intern

Fair Lawn, NJ · On-site

$17 - $22/hr

We are currently looking for a driven, detail-oriented, and analytical Business Analyst Intern to ... Conduct market research and competitive analysis to identify industry trends and business ...

Corning

Technology Analyst Intern - Summer 2027

Corning, NY · On-site

$1.6K - $3.1K/wk

Competitive salaries * Housing assistance * Travel reimbursement Intern Activities: * Social and ... Database & Data Support * Assist with data validation, data entry, and basic data analysis for ...

New

Corning

Technology Analyst Intern - Summer 2027

Corning, NY · On-site

$1.6K - $3.1K/wk

Competitive salaries * Housing assistance * Travel reimbursement Intern Activities: * Social and ... Database & Data Support * Assist with data validation, data entry, and basic data analysis for ...

New

Sony

$17 - $21.50/hr

The intern will play an important role in supporting account managers across multiple retail ... Conduct competitive analysis on pricing, promotions, and product assortment. * Research category ...

Corning

Technology Analyst Intern - Summer 2027

Corning, NY · On-site

$1.6K - $3.1K/wk

Competitive salaries * Housing assistance * Travel reimbursement Intern Activities: * Social and ... Database & Data Support * Assist with data validation, data entry, and basic data analysis for ...

New

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Competitive Analysis Intern information

What does a Competitive Analysis Intern do?

A Competitive Analysis Intern supports a company by researching and evaluating the strategies, products, and performance of competitors. Their primary responsibilities include gathering data from public sources, analyzing market trends, and preparing reports that help the company understand its position in the marketplace. They often use tools like SWOT analysis and market intelligence platforms to provide actionable insights. This role is ideal for students or recent graduates looking to gain experience in business strategy and market research.

What are the key skills and qualifications needed to thrive as a Competitive Analysis Intern?

To thrive as a Competitive Analysis Intern, you need strong analytical skills, attention to detail, and a background in business, marketing, or a related field. Familiarity with competitive intelligence tools, data visualization software, and proficiency in Excel or similar platforms are commonly required. Effective communication, curiosity, and the ability to work independently are key soft skills for excelling in this role. These skills enable interns to gather actionable insights, present findings clearly, and support strategic decision-making for the organization.

What is the difference between Competitive Analysis Intern vs Market Research Intern?

AspectCompetitive Analysis InternMarket Research Intern
Required CredentialsTypically pursuing or recent graduate in Business, Marketing, or related fieldsSimilar; often pursuing or recent graduate in Business, Marketing, or related fields
Work EnvironmentCorporate offices, consulting firms, or marketing agenciesCorporate offices, research firms, or marketing agencies
Employer & Industry UsageUsed in industries like tech, retail, and finance for competitive insightsUsed across industries for understanding market trends and customer preferences

While both roles involve research and data analysis, a Competitive Analysis Intern focuses specifically on analyzing competitors' strategies, strengths, and weaknesses. In contrast, a Market Research Intern examines broader market trends, customer behaviors, and industry data. Both roles require similar skills and educational backgrounds but serve different strategic purposes within organizations.

What cities are hiring for Competitive Analysis Intern jobs?

Cities with the most Competitive Analysis Intern job openings:

What are the most commonly searched types of Competitive Analysis jobs?

The most popular types of Competitive Analysis jobs are:

What states have the most Competitive Analysis Intern jobs?

States with the most job openings for Competitive Analysis Intern jobs include:

What are popular job titles related to Competitive Analysis Intern jobs?

For Competitive Analysis Intern jobs, the most frequently searched job titles are:

Infographic showing various Competitive Analysis Intern job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

PhD Graduate Intern Quantitative Portfolio Risk Analytics

Cambridge, MA • On-site

RiskAnalytics
See more jobs at RiskAnalyticsexternal

Other

Re-posted 11 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview

We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.

We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.

Key Responsibilities

Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches

Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk

Design and implement analytical tools and pipelines using Python and SQL

Contribute to model validation, backtesting, and performance evaluation

Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure

Communicate complex quantitative insights through clear visualizations and technical summaries

Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics

Required Qualifications

Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)

Strong foundation in probability, statistics, and numerical methods

Proficiency in Python (NumPy, pandas, or similar) and/or SQL

Experience working with large datasets and implementing quantitative models

Ability to think rigorously about complex systems and translate theory into practical solutions

Preferred Qualifications

Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)

Experience with scientific computing, optimization, or machine learning

Background or research in cross-disciplinary areas such as:

Statistical physics, complex systems, or network theory

Applied or computational mathematics

Machine learning or probabilistic modeling

Quantum computing or advanced optimization techniques

Topological data analysis or geometric data methods

Prior research, publications, or project work demonstrating advanced quantitative modeling

What You’ll Gain

Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics

Opportunity to apply cutting-edge academic methods in a production environment

Collaboration with a highly quantitative, cross-disciplinary team

Experience working with large-scale financial data and modern analytics infrastructure

Mentorship and potential pathway to full-time quantitative roles

Duration & Compensation

Internship: Summer 2026, with potential to extend

Paid internship (competitive, based on experience and location)

Apply