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Psychology Data Analyst Jobs (NOW HIRING)

Drive Capital

Data Analyst

Austin, TX · On-site

$70 - $95/hr

... user behavior, psychology, and incentives. * Self‑Starter: You don't wait for perfect ... working with data and learning new tools quickly; exposure to Mixpanel or similar analytics ...

Grady Health System

TRC Data Analyst

Grady, AR

TRC Data Analyst Location: Atlanta, GA Description * Responsible for conducting clinical data ... violent crime, its social and psychological impacts, and relevant public health/policy ...

Grady-Health-System

TRC Data Analyst

Atlanta, GA · On-site

$70 - $110/hr

... violent crime, its social and psychological impacts, and relevant public health/policy ... Applied research, data analysis, data programming, data visualization, and data management, report ...

New

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us ... A deep curiosity about player psychology, motivation, and behavior. * High attention to detail ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us ... A deep curiosity about player psychology, motivation, and behavior. * High attention to detail ...

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

We're hiring a Data Analyst - People at our rental facility in Columbia, MO, and we're looking for ... A degree in Psychology, Economics, Math, Statistics or anything relevant to the implementation of ...

Purpose Financial

HR Data Analyst

Greenville, SC · On-site

Position Summary The HR Data Analyst supports our growing HR Analytics function to advance the HR ... Education Required Bachelor's degree in Human Resources, Industrial-Organizational Psychology ...

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Psychology Data Analyst information

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$82.6K

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How much do psychology data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for psychology data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a psychology data analyst do?

As a data analyst in psychology, also known as a research analyst or data scientist, your duties focus on assisting with psychology research tasks, reporting, and analyzing data sets. Your responsibilities are to study the data of a psychology experiment, perform a variety of analysis techniques to understand the data and develop statistics based on the data, and create reports of the research results. You work closely with researchers to understand the hypotheses, methodology, and results of each experiment. The data you work with can aid research in medical or behavioral studies.

What are the key skills and qualifications needed to thrive as a psychology data analyst?

A Psychology Data Analyst should possess strong statistical analysis skills, a background in psychology or behavioral science, and typically a degree in psychology, statistics, or a related field. Familiarity with statistical software such as SPSS, R, or Python, as well as data visualization tools, is commonly required. Critical thinking, attention to detail, and effective communication help analysts interpret data accurately and present findings to diverse audiences. These skills ensure reliable analysis, meaningful insights, and the ability to inform evidence-based decisions in psychological research or practice.

How does a psychology data analyst typically collaborate with researchers and clinicians in a multidisciplinary team?

As a Psychology Data Analyst, you will regularly work alongside researchers, clinicians, and sometimes IT professionals to design studies, clean and analyze psychological data, and interpret findings. Collaboration often involves translating complex statistical results into actionable insights that non-analysts can understand, as well as advising on study design to ensure robust data collection. Clear communication and teamwork are essential, as you may participate in regular meetings to align on project goals, discuss preliminary findings, and support publication or presentation efforts.

How much does a psychology data analyst make?

The average salary for a psychology data analyst in Virginia ranges from $55,000 to $75,000 annually, depending on experience, education, and specific employer. Professionals with strong statistical skills and proficiency in data analysis tools like SPSS or R tend to earn higher salaries. Entry-level positions may start lower, while experienced analysts or those with specialized certifications can earn more.
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Psychology Data Analyst jobs near you
Infographic showing various Psychology Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Drive Capital

Austin, TX • On-site

$70 - $95/hr

Other

Posted 7 days ago

Job description

About Abode Money

Abode Money is building the financial home for your home. Our mission is simple: Make homeownership more affordable for everyday homeowners. We automate the hard parts of managing and saving on homeownership costs like property taxes, insurance, utilities, and more. Everything in home finance today caters to the transaction, the home buyer or seller, while the homeowner is overlooked. With non‑mortgage costs up over 50% in the past five years, homeowners are struggling more today than ever before.

We have incredible backers, including Core VC, Drive Capital, Sequoia and 81 Collection.

Role

We’re looking for someone who is naturally curious about how products grow and why users behave the way they do. You’ll work closely with the growth team to analyze performance, explore product and funnel data, and help us understand what’s actually driving outcomes. This is a hands‑on role where you’ll contribute directly to decisions that shape the product and growth strategy.

If you enjoy digging into numbers, forming hypotheses, and figuring out what’s really going on beneath the surface, you’ll do well here.

Key Responsibilities
  • Funnel & Product Analysis: Use Mixpanel to explore user behavior across the funnel. Identify where users drop off, what drives conversion, and how product usage connects to growth.
  • Dashboarding & Visualization: Build and iterate on dashboards that make key metrics easy to understand and act on.
  • Exploration & Hypothesis Building: Dig into data to spot patterns, ask questions, and form hypotheses about what’s driving performance.
  • AI‑Integrated Workflows: Use tools like Claude and MCP‑powered workflows to accelerate analysis, generate reports, and experiment with lightweight forecasting.
  • Performance Insights: Surface trends, anomalies, and opportunities in growth and product data, and help translate them into action.
  • Sharing Learnings: Communicate findings clearly—whether that’s a quick insight, a pattern you noticed, or a deeper analysis.
Qualifications
  • Data‑Driven by Default: You naturally look to data to understand how things work and make decisions.
  • Curiosity & First‑Principles Thinking: You’re interested in the “why” behind metrics—user behavior, psychology, and incentives.
  • Self‑Starter: You don’t wait for perfect instructions. You explore, ask questions, and follow threads on your own.
  • AI‑Native Workflow: You’ve used tools like Claude to think through problems, analyze information, or automate parts of your workflow.
  • Technical Comfort: Comfortable working with data and learning new tools quickly; exposure to Mixpanel or similar analytics platforms is a plus.
  • Clear Communicator: You can explain what you’re seeing in a simple, direct way.
Why This Role

This is an opportunity to develop a deep understanding of how a startup operates through data. You’ll work on defining and interpreting core KPIs, analyzing funnel and product metrics, and contributing to decisions that shape growth and product direction. Over time, you’ll build strong intuition for how metrics connect to user behavior and business outcomes.

You’ll have meaningful ownership over your work, operating closely with the team and contributing to decisions that directly impact the trajectory of the company.

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