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Product Analytics Intern Jobs (NOW HIRING)

ThyssenKrupp

Analytics

Middleburg Heights, OH · On-site

Your responsibilities Job Summary The Analytics Intern will support the enhancement and ongoing support of the Coil Processing Group's (CPG) sales, operations, and production data. This role works ...

chemelex

Data Analytics Intern

Redwood City, CA

Throughput and production output * Scrap and yield performance * Downtime and equipment utilization ... Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

Red Edge LLC

Advertising & Analytics Intern

Arlington, VA · On-site

$17.25 - $23/hr

Have familiarity with either advertising platforms, analytics, or data analysis * Leave with an ... products-ranging from brand conception, design, coding, targeted advertising, and community ...

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ... root cause analysis efforts with data tied to downtime, scrap, and performance losses * Partner ...

HOPTEK

Business Analyst Intern - Product

Atlanta, GA · On-site

... advanced analytics. HOPTEK is one of Kearney's major investments in harnessing the power of new ... Software/Product/CX Engineer intern will work with the software engineering , Product and CX teams ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

Red Edge

Advertising & Analytics Intern

Arlington, VA · On-site

$17.25 - $23/hr

Have familiarity with either advertising platforms, analytics, or data analysis * Leave with an ... products-ranging from brand conception, design, coding, targeted advertising, and community ...

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Product Analytics Intern information

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How much do product analytics intern jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for product analytics intern in the United States is $21.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.04 per hour, depending on experience, location, and employer.

How does a Product Analytics Intern typically collaborate with product managers and engineers during a project?

As a Product Analytics Intern, you will frequently work alongside product managers and engineers to support data-driven decision-making. You'll help define key metrics, analyze user behavior, and present actionable insights that may influence feature development or product direction. Regular communication, participation in sprint meetings, and sharing data visualizations are key parts of this collaboration, ensuring your analyses directly impact product improvements. This cross-functional teamwork provides valuable exposure to both technical and strategic aspects of product development.

What are the key skills and qualifications needed to thrive as a Product Analytics Intern, and why are they important?

To thrive as a Product Analytics Intern, a solid background in statistics, data analysis, and familiarity with business or computer science principles is essential, often accompanied by ongoing university studies in a related field. Proficiency with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Looker is typically required. Strong problem-solving, communication, and attention to detail are standout soft skills in this role. These skills enable effective data-driven insights, clear reporting, and support impactful product decisions within fast-paced teams.

What does a Product Analytics Intern do?

A Product Analytics Intern assists in collecting, analyzing, and interpreting data related to how users interact with a company's products. They work closely with product managers and data analysts to generate insights that can inform product improvements and business decisions. Typical tasks include building dashboards, running A/B tests, preparing reports, and identifying trends in user behavior. This internship is a great opportunity to develop data analysis skills and gain exposure to product development processes in a real-world setting.

What is the difference between Product Analytics Intern vs Data Analyst Intern?

AspectProduct Analytics InternData Analyst Intern
Required skillsData analysis, SQL, Excel, basic understanding of product metricsData analysis, SQL, Excel, statistical methods
Work environmentTech companies, startups, product teamsVarious industries, business units, finance, marketing
Typical tasksAnalyzing product usage, user behavior, feature impactData cleaning, reporting, trend analysis across departments

The main difference is that a Product Analytics Intern focuses on analyzing product-specific data to improve user experience and product features, while a Data Analyst Intern has a broader scope, working across different business areas to interpret data and support decision-making. Both roles require strong analytical skills and familiarity with SQL and Excel, but the context and focus differ.

What cities are hiring for Product Analytics Intern jobs? Cities with the most Product Analytics Intern job openings:
What are the most commonly searched types of Product Analytics jobs? The most popular types of Product Analytics jobs are:
What states have the most Product Analytics Intern jobs? States with the most job openings for Product Analytics Intern jobs include:
Product Analytics Intern jobs near you
Infographic showing various Product Analytics Intern job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $44,083 per year, or $21.2 per hour.

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 4 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 applyespecially 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 Youll 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)