Join Our Team

We're looking for a motivated, detail-oriented Marshall University student to join our team as a Junior Analyst. You'll work alongside experienced analysts on real client engagements — not hypothetical exercises. From building dashboards and cleaning datasets to running analyses that directly inform business decisions, this internship offers hands-on experience that bridges the gap between classroom learning and professional analytics work.

What You'll Do

• Assist with client data analysis — Help prepare, clean, and analyze datasets from local businesses using Python, SQL, and Excel
• Build dashboards and visualizations — Create clear, actionable dashboards in tools like Metabase, Tableau, or Power BI that clients actually use
• Support data integration projects — Help connect and consolidate data from business tools (POS systems, CRMs, accounting software)
• Contribute to insight reports — Draft sections of monthly client reports, translating data findings into plain-language recommendations
• Conduct research — Perform competitive analysis, market research, and industry benchmarking for client engagements
• Participate in client meetings — Observe and contribute to discovery calls, check-ins, and presentation meetings with real clients
• Assist with internal operations — Help improve internal processes, templates, and documentation

Pay Tiers

Compensation is based on your current skill level at time of hire. Interns are evaluated at 30-day check-ins and can move up tiers during the internship.

Tier placement is determined during the interview through a brief technical conversation — no whiteboard tests or trick questions.

Required Qualifications

• Currently enrolled in a college or university program
• Completed at least sophomore year by start date
• Foundational knowledge of statistics and data analysis concepts
• Proficiency in Excel/Google Sheets
• Familiarity with at least one programming language (Python preferred, R acceptable)
• Strong written and verbal communication skills
• Ability to explain technical concepts to non-technical audiences
• Reliable, self-motivated, and comfortable working both independently and in a small team

Preferred Qualifications

Not required — we'll teach you.

• Experience with SQL and relational databases
• Exposure to data visualization tools (Tableau, Power BI, Metabase, or Looker Studio)
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, ChatGPT, Cursor) to build projects or solve problems
• Coursework in machine learning, predictive analytics, or data mining
• Familiarity with business operations (marketing, finance, supply chain)
• Interest in small business and entrepreneurship

Tech Stack

How to Apply

Submit the following to hello@huntington-analytics.com with subject line “Junior Analyst — [Your Name]”:

1. 1Resume — Include relevant coursework, projects, and any technical skills
2. 2Brief cover letter (300 words max) — Tell us why you're interested in analytics and what you hope to learn
3. 3Work sample (optional but encouraged) — A class project, personal analysis, Kaggle notebook, or anything that shows your analytical thinking

Timeline

There's nothing romantic about standing in line — and for any venue, every minute a customer waits is a minute they aren't spending money. We're looking for a psychology student fascinated by the intersection of human behavior, mathematics, and revenue optimization. You'll apply queueing theory (Poisson distributions, arrival rates, service capacity models) to real client environments — theme parks, restaurants, retail stores, healthcare waiting rooms — to reduce perceived wait times, optimize staffing, and unlock dynamic pricing strategies. This isn't theoretical: you'll collect field data, build simulation models, and deliver recommendations that directly impact how businesses manage crowds, price premium experiences, and keep customers happy while they wait.

What You'll Do

• Model queue dynamics — Build and calibrate queueing models (M/M/1, M/M/c, M/G/1) using real arrival rate and service time data collected from client venues
• Design dynamic pricing frameworks — Develop data-driven pricing models for skip-the-line passes, premium reservations, and surge pricing based on real-time demand signals (crowd density, time of day, weather, event schedules)
• Measure the psychology of waiting — Design and run field studies measuring perceived vs. actual wait times, testing interventions like entertainment, signage, mobile ordering, and queue layout changes
• Deploy distraction metrics — Analyze where in a queue frustration peaks and recommend placement of entertainers, mobile vendors, digital displays, or sampling stations to maintain engagement and drive incremental revenue
• Build crowd flow simulations — Create agent-based or Monte Carlo simulations modeling guest flow through multi-stage environments (entrance → attractions → food → retail → exit)
• Conduct A/B experiments — Design controlled tests comparing queue management strategies (virtual queues vs. physical lines, single-line vs. multi-line, estimated wait displays vs. none) and measure impact on satisfaction and spend
• Deliver yield management dashboards — Build real-time dashboards showing capacity utilization, queue lengths, revenue per visitor-hour, and optimal pricing recommendations
• Present behavioral insights to clients — Translate complex statistical models into plain-language recommendations that venue operators can act on immediately

Pay Tiers

Compensation is based on your current skill level at time of hire. Interns are evaluated at 30-day check-ins and can move up tiers during the internship.

Tier placement is determined during the interview through a brief technical conversation — no whiteboard tests or trick questions.

Required Qualifications

• Currently enrolled in a psychology, behavioral science, economics, applied mathematics, or related program
• Completed at least sophomore year by start date
• Foundational knowledge of statistics (distributions, hypothesis testing, regression)
• Interest in behavioral psychology, decision science, or consumer behavior
• Proficiency in Excel/Google Sheets for data analysis
• Familiarity with at least one programming or statistical tool (Python, R, SPSS, or MATLAB)
• Strong written and verbal communication — ability to explain statistical concepts to non-technical business owners
• Comfortable with field work: observing, timing, counting, and surveying in live customer environments

Preferred Qualifications

Not required — we'll teach you.

• Coursework in queueing theory, operations research, or stochastic processes
• Experience with simulation tools (SimPy, AnyLogic, Arena, or custom Python simulations)
• Familiarity with Poisson processes, exponential distributions, and Little's Law
• Knowledge of behavioral economics concepts (loss aversion, anchoring, the peak-end rule)
• Experience with survey design and psychometric measurement
• Exposure to pricing strategy, revenue management, or yield optimization concepts
• Interest in theme parks, hospitality, entertainment venues, or retail operations

Tech Stack

How to Apply

Submit the following to hello@huntington-analytics.com with subject line “Psychology Analyst Intern — [Your Name]”:

1. 1Resume — Include relevant coursework (statistics, behavioral science, research methods), projects, and any technical skills
2. 2Brief cover letter (300 words max) — Tell us about a time you noticed something about human behavior that others missed, and how you'd apply that observational skill to analytics
3. 3Work sample (optional but encouraged) — A research paper, simulation project, data analysis, survey study, or anything that shows how you think about human behavior and data together

Timeline