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Technical Analyst Intern Jobs (NOW HIRING)

Quantitative Analyst Intern

New York, NY ยท On-site

$20 - $35/hr

... technical and non-technical audiences. Potential Projects * New churn leading indicators. The ... Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.

Robot Operations Analyst Intern

Las Cruces, NM ยท On-site

$15 - $19.75/hr

About this opportunity As an Operations Analyst Intern, you'll support the day-to-day execution of ... Knowledge of basic troubleshooting and maintenance procedures for technical equipment Core ...

Supply Chain Logistics Analyst Intern

Waterbury, CT ยท On-site

$18.50 - $24.75/hr

The intern will support real-world projects focused on improving inventory management, increasing ... Logistics, Business, or a related technical field. Junior or Senior standing preferred.

Supply Chain Logistics Analyst Intern

Waterbury, CT ยท On-site

$18.50 - $24.75/hr

The intern will support real-world projects focused on improving inventory management, increasing ... Logistics, Business, or a related technical field. Junior or Senior standing preferred.

Student/Graduate Intern

San Jose, CA ยท On-site

$28.27 - $32.27/hr

Student Intern: $28.27 & Grad Intern: $32.27 Role Overview The Information Systems Analyst Intern ... Analyze user requirements and business needs. * Develop technical solutions to improve integration ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... health and technical challenges. Beyond core capabilities, we are seeking problem solvers ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... health and technical challenges. Beyond core capabilities, we are seeking problem solvers ...

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Technical Analyst Intern information

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How much do technical analyst intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for technical analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are some common challenges a technical analyst intern might face during their internship?

Technical Analyst Interns often encounter challenges such as adapting to new software tools and platforms quickly, balancing multiple projects with tight deadlines, and translating complex technical data into actionable insights for non-technical team members. They may also need to learn how to communicate effectively with cross-functional teams, including developers, project managers, and business stakeholders. However, these challenges present valuable learning opportunities and help interns develop critical analytical and problem-solving skills.

What is a technical analyst intern?

Technical Analyst Interns are entry-level professionals who support organizations by analyzing technical systems, processes, and data to help improve efficiency and solve technical problems. They often assist with gathering and interpreting data, troubleshooting software or hardware issues, and collaborating with IT or business teams to implement solutions. These interns gain hands-on experience with analytical tools and learn how to translate technical information for non-technical stakeholders. The position provides valuable exposure to both technical and business aspects of an organization, preparing interns for future roles in IT or data analysis.

What are the key skills and qualifications needed to thrive as a technical analyst intern, and why are they important?

To thrive as a Technical Analyst Intern, you should possess foundational knowledge in data analysis, programming, and problem-solving, often supported by coursework in computer science or information systems. Familiarity with tools such as SQL, Microsoft Excel, and data visualization platforms like Tableau or Power BI, as well as basic understanding of business intelligence systems, is valuable. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills are crucial for accurately interpreting data, supporting decision-making, and collaborating with technical and business teams.
What cities are hiring for Technical Analyst Intern jobs? Cities with the most Technical Analyst Intern job openings:
What are the most commonly searched types of Technical Analyst jobs? The most popular types of Technical Analyst jobs are:
What states have the most Technical Analyst Intern jobs? States with the most job openings for Technical Analyst Intern jobs include:
Infographic showing various Technical Analyst Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Quantitative Analyst Intern

Rho Technologies

New York, NY โ€ข On-site

$20 - $35/hr

Internship

Posted 6 days ago


Job description

About Us
Rho is the modern banking platform built for startups. Open accounts in minutes, issue cards, manage expenses, pay bills, and close the books - all in one connected platform backed by real human support.
About the role
You'll work on high-impact data projects that help Rho detect, prevent, and better understand customer behavior, from identifying early churn signals to mapping growth opportunities. Your work will directly support Rho's growth engineering function, the systems that power expansion, retention, and churn mitigation. The work spans designing experiments, building predictive models, extracting insights from unstructured data, and working with large, complex datasets. You'll collaborate across teams to drive workflow efficiency, improve customer retention, and influence product direction, taking full ownership of your analyses and communicating your findings clearly to technical and non-technical audiences.
Potential Projects
  • New churn leading indicators. The current set catches a lot, but not everything. Hunt for earlier, cleaner predictors of account churn and treasury drawdown. Backtest candidates against known outcomes and graduate what holds.
  • New expansion and deposit-growth signals. The upside side of the book is less built out than the churn side. What predicts an account is about to move more money onto Rho, hire, raise, or grow its treasury? Generate and test candidates.
  • Unstructured data as a new signal source. Today's entire signal universe lives in the warehouse; call transcripts are untouched. Build LLM extraction experiments to pull signals that will never appear in transaction data: a competitor mentioned on a call, product-limit frustration, expansion intent voiced directly. A different modality, genuinely additive.
  • Probabilistic modeling. Move signal scoring from hand-tuned rules toward measured weights. Model how signals interact, quantify which combinations actually matter, and cluster accounts into behavioral archetypes.
  • Graph and network signals. Map shared-investor and vendor co-occurrence structure for fundraise-contagion detection and referral clusters. Untouched today.
  • Customer health modeling. Improve how we model account health over time: how accounts move between health states, what predicts those transitions, and where intervention changes the trajectory.
  • Playbook effectiveness. Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.
  • GTM workflow efficiency. Find and remove friction in how signals reach the field.
  • Product adoption. Analyze adoption patterns, identify behaviors that predict or drive adoption, and use them to make customers stickier.

You have:
  • Challenging coursework in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field
  • Project experience in statistics, ML, econometrics, or a related quantitative field
  • Proficient in Python, Comfortable with SQL
  • Willing to run a high volume of experiments and work with messy, incomplete data
  • Communicates quantitative work clearly to technical and non-technical stakeholders

Strong fit if:
  • Comfortable with ambiguity. Problems arrive underspecified.
  • Take ownership. You run your experiments end to end and do not need handholding. If something is broken or unclear, you chase it down rather than wait.
  • Question everything. You do not take a number, a signal, or an assumption at face value, including your own. You pressure-test before you trust.
  • Very fast learner. You pick up new tools, new data, and new methods quickly and independently, and you are not thrown by unfamiliar territory.
  • High attention to detail.
  • Deeply analytical. You reason from the data, quantify your claims, and can explain why something works or does not.
  • High throughput. You would rather run five experiments this week than one perfect one next month.

Hourly: $20-$35 | Start: ASAP