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Psychology Data Analyst Jobs (NOW HIRING)

Apple

Market Research Data Analyst

Cupertino, CA

$119K - $225K/yr

Apple's Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a ... Psychology) or equivalent experience. Strong communication and data visualization skills, with the ...

Dartmouth College

Postdoctoral Scholar

Lebanon, NH · On-site

Candidates must have an MD or PhD in psychology, data science, computer science, engineering, or a related field. * Candidates must be proficient in quantitative data analysis, as evidenced by a ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play ... Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating ...

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How much do psychology data analyst jobs pay per year?

As of Jul 15, 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?

A Psychology Data Analyst collects, processes, and interprets data related to human behavior, mental processes, and psychological studies. They use statistical methods and analytical tools to help researchers and organizations understand trends, patterns, and outcomes in psychological data. Their work can involve designing surveys, cleaning datasets, running statistical analyses, and presenting findings to support research or inform decision-making. They often collaborate with psychologists, researchers, and other professionals to ensure the accuracy and relevance of their analyses.

Can I be a data analyst with a psychology degree?

Psychology degrees can provide a strong foundation for a data analyst role, especially when combined with skills in statistics, data management, and tools like Excel, SQL, or Python. Many employers value analytical thinking and research experience from psychology programs, but additional training in data analysis software may be necessary to qualify for the position.

Is 40 too late for data science?

For a Psychology Data Analyst or anyone pursuing data science, starting at age 40 is not too late. Many professionals successfully transition into data science later in life by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Age is less important than skills, experience, and continuous learning in the field.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in advanced analytics, programming, and data visualization tools. Specializing in these industries and acquiring certifications like SAS or SQL can increase earning potential.

Will AI replace data analyst?

AI is unlikely to fully replace psychology data analysts, as their role involves interpreting complex human behavior and applying critical thinking that AI cannot replicate. Instead, AI tools can augment their work by automating data processing and analysis, allowing analysts to focus on insights and decision-making. Developing skills in data visualization, statistical software, and understanding psychological contexts remains essential for the role.

What are the key skills and qualifications needed to thrive as a Psychology Data Analyst, and why are they important?

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.

What Does a Data Analyst in Psychology 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.

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.
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Psychology Data Analyst jobs near you
Manager, Workforce Planning / Data Analytics

Manager, Workforce Planning / Data Analytics

Ross Stores

New York, NY • On-site

$96K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

About this opportunity...
Do you want to shape how a Fortune 500 company plans its workforce for the future? Our Workforce Strategy & Analytics team partners with leaders across the enterprise to turn data into actionable insights that support the growth and effectiveness of our business.
The Manager, Workforce Planning will lead high impact analytical work, develop forecasting and staffing strategies, and guide business leaders with insights that help them optimize organizational design and talent investment decisions. This role blends strategic thinking, data analytics, and business partnership, influencing decisions across Buying, Planning, Allocation, and other key functions.
The base salary range for this role is $96,700 - $120,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.
What you will do and what you will learn...
  • Lead the design, execution, and communication of advanced analyses on workforce trends, organizational structure, hiring, promotions, retention, and associate movement.
  • Create and present data driven recommendations to senior leaders and executives, often synthesizing complex findings into actionable business strategies.
  • Develop, enhance, and maintain large-scale workforce planning models, including forecast models for staffing, budgeting, organizational design, and talent development.
  • Oversee the design and maintenance of organizational charts and workforce planning materials, ensuring accuracy, consistency, and availability for critical business cycles.
  • Manage partnerships with HR leadership, Finance, and functional executives to support enterprise workforce planning processes and rhythm of business activities.
  • Mentor Analysts and provide oversight and quality review for analytic deliverables, dashboards, models, reports, and presentations.
  • Build scalable analytics processes and continuously improve data, tools, and methodologies used across the Workforce Planning team.
  • Lead cross-functional projects and guide stakeholders through interpreting insights, identifying root causes, and shaping action plans to address workforce challenges.
  • Represent Workforce Planning in meetings, planning cycles, and cross-department initiatives.
  • Complete complex and strategic ad hoc analyses and projects as assigned.

What you need to be successful...
  • BA/BS required; Master's degree preferred (e.g., Business, Economics, Psychology, Data Science, or related quantitative/social sciences).
  • 4-6 years of experience in Workforce Planning, HR Analytics, Business Analytics, or a related field; prior project leadership or informal people leadership strongly preferred.
  • Advanced proficiency with Excel, PowerPoint, and workforce analytics tools; experience with Tableau, Power BI, or similar visualization platforms required.
  • Experience with data modeling or programming (SQL, Python, R, etc.) strongly preferred.
  • Demonstrated ability to manage complex datasets and develop actionable insights.
  • Strong written and verbal communication skills, with experience presenting to senior leaders.
  • Proven ability to manage multiple deadlines, lead initiatives, and work independently with minimal direction.
  • Strong judgment, confidentiality, and attention to accuracy.

Perks and Benefits of joining our team...
Our Associates are at the heart of everything we do and we're proud to offer a range of benefits that reflect how much we value their contributions. Here's a peek into what you can expect as an eligible Ross Associate:
  • A broad range of affordable health insurance options & personal medical plan concierge
  • 401(k) with employer match and Life insurance
  • Ample PTO including accrued vacation, paid holidays, diversity day, summer Fridays and the ability to purchase additional vacation.
  • Employee stock purchase plan
  • Access to health and wellness benefits such as BetterHelp and Headspace
  • Charitable donations matched by Ross Stores Foundation
  • And more....

*benefits vary by level and position and are subject to change
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