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Product Analytics Intern Jobs (NOW HIRING)

Financial Analytics Intern

Austin, TX

$17.50 - $23/hr

We are the leading retailer of calendars, games and toys products in shopping centers nationwide ... The full-time Financial Analytics Intern role supporting the Chairman of the Board combines ...

Financial Analytics Intern

Austin, TX ยท On-site

$17.50 - $23/hr

We are the leading retailer of calendars, games and toys products in shopping centers nationwide ... The full-time Financial Analytics Intern role supporting the Chairman of the Board combines ...

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 ...

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 ...

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

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 ...

Advertising & Analytics Intern

Arlington, VA ยท 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 ...

... 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 ...

Advertising & Analytics Intern

Arlington, VA ยท 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 Jun 19, 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:
Infographic showing various Product Analytics Intern job openings in the United States as of June 2026, with employment types broken down into 12% Internship, 39% Full Time, 23% Part Time, 10% Temporary, 7% Contract, and 9% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% 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 โ€ข On-site

Full-time

Posted 13 days ago

Be an early applicant


Job description

Ph.D. Graduate Intern โ€“ 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 applyโ€”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 approachesย 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of riskย 
  • Design and implement analytical tools and pipelines using Python and SQLย 
  • Contribute to model validation, backtesting, and performance evaluationย 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructureย 
  • Communicate complex quantitative insights through clear visualizations and technical summariesย 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analyticsย 
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)ย 
  • Strong foundation in probability, statistics, and numerical methodsย 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQLย 
  • Experience working with large datasets and implementing quantitative modelsย 
  • Ability to think rigorously about complex systems and translate theory into practical solutionsย 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)ย 
  • Experience with scientific computing, optimization, or machine learningย 
  • Background or research in cross-disciplinary areas such as:ย 
    • Statistical physics, complex systems, or network theoryย 
    • Applied or computational mathematicsย 
    • Machine learning or probabilistic modelingย 
    • Quantum computing or advanced optimization techniquesย 
    • Topological data analysis or geometric data methodsย 
  • Prior research, publications, or project work demonstrating advanced quantitative modelingย 
What Youโ€™ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analyticsย 
  • Opportunity to apply cutting-edge academic methods in a production environmentย 
  • Collaboration with a highly quantitative, cross-disciplinary teamย 
  • Experience working with large-scale financial data and modern analytics infrastructureย 
  • Mentorship and potential pathway to full-time quantitative rolesย 
Duration & Compensation
  • Internship: Summer 2026, with potential to extendย 
  • Paid internship (competitive, based on experience and location)
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