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Internship Data Analyst Sociology Jobs (NOW HIRING)

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Data Analyst Internship Project: Comparative analysis of patient cycle time from consultation to treatment start date. The analysis will include: * The selection of 30 patients from the first quarter ...

New

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics * 6 months to 1 years of relevant professional experience in ...

Hands‑on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

New

... Sociology, Political Science or Psychology or a closely related field; OR, * Graduation from a ... data collection and analysis; OR, * Five (5) years of work experience, or its part-time equivalent ...

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Internship Data Analyst Sociology information

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How much do internship data analyst sociology jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship data analyst sociology 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 does an internship data analyst in sociology do?

An Internship Data Analyst in Sociology assists with collecting, organizing, and analyzing data related to social behaviors, trends, and research studies. They often work with survey results, databases, or qualitative data to support sociological research projects. Their tasks may include cleaning data, running statistical analyses, creating reports, and helping visualize findings for presentations or publications. This role provides practical experience in applying data analysis techniques to real-world social science questions and prepares interns for careers in research, policy, or data-driven roles.

What are the key skills and qualifications needed to thrive as an internship data analyst in sociology?

To excel as an Internship Data Analyst in Sociology, you need foundational knowledge in sociological concepts, data analysis, and statistics, often supported by relevant coursework or a degree in sociology or a related field. Familiarity with data analysis tools like SPSS, R, or Python, and experience with survey platforms and data visualization software, are typically required. Strong critical thinking, attention to detail, and effective communication skills help you interpret data accurately and present findings clearly. These competencies are vital for producing meaningful insights that inform sociological research and decision-making.

What kinds of projects do internship data analyst sociology roles typically work on, and how do interns collaborate with their teams?

As an Internship Data Analyst in Sociology, you will often work on projects involving survey data analysis, social trend identification, or evaluation of societal programs. Interns are usually assigned specific data sets to clean, analyze, and interpret under the guidance of senior analysts or sociologists. Collaboration is key—expect to regularly participate in team meetings, share findings, and contribute to group reports or presentations. Working closely with both data professionals and subject matter experts helps interns gain a holistic understanding of both technical and sociological aspects, making it a valuable learning experience.

What are some sociology internships?

Sociology internships are available at universities, research institutions, government agencies, and non-profit organizations. These internships often involve data collection, analysis, and report writing, and may require skills in research methods and statistical tools like SPSS or R. They provide practical experience in social research and policy analysis for students and early-career professionals.
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Infographic showing various Internship Data Analyst Sociology job openings in the United States as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

$30 - $40/hr

Internship

Re-posted 19 days ago


Job description

About QuEra Computing, Inc.

QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers. We are looking for the Photonics Data Engineer Intern to join us for Fall 2026.

Responsibilities

  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield).  Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

Compensation Range: $30-$40/hr

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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