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Research Data Analyst Intern Jobs in Texas (NOW HIRING)

Ericsson

Data Analyst Intern

Plano, TX · On-site

... Intern, you will help modernize Finance by applying data science, AI, analytics, and automation to ... Strong academic record and/or relevant internship, project, or research experience in finance ...

IntegraFEC

(FALL) Research Analyst Intern

Austin, TX · On-site

(FALL) Research Analyst Intern Austin, TX Integra's mission is to restore integrity to the financial ... Gathering of publicly available data and information * Compiling and summarizing research * Other ...

Tranquil Clinical Research

Research Intern

Webster, TX · On-site

The Intern will primarily be responsible for the collection, aggregation, and analysis of data. The Research Intern will also form other duties such as data entry, and administrative duties such as ...

Cook Children's

Research Data Manager

Fort Worth, TX · On-site

This role supports institutional honest broker workflows and works in close partnership with the Sr. Research Data Analyst, clinical researchers, IRB staff, and data stewards to ensure timely ...

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Research Data Analyst Intern information

What does a research data analyst intern do?

A Research Data Analyst Intern assists with collecting, cleaning, and analyzing data to support research projects. They work closely with senior analysts and researchers to interpret data, create reports, and help visualize findings. Their tasks often include using statistical software, managing databases, and ensuring data quality. The internship provides practical experience in data analysis and research methodologies, making it valuable for students or recent graduates interested in data-driven careers.

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

To thrive as a Research Data Analyst Intern, you typically need a strong background in statistics, data analysis, and quantitative research methods, often supported by coursework in fields like mathematics, computer science, or economics. Familiarity with data analysis tools and programming languages such as Excel, R, Python, and data visualization software is highly valuable. Attention to detail, critical thinking, and strong communication skills set top candidates apart in this role. These skills and qualities are crucial for accurately interpreting data, presenting findings clearly, and supporting research objectives within a team or academic environment.

What types of projects and data sets do research data analyst interns typically work with during their internship?

As a Research Data Analyst Intern, you can expect to work on projects involving data collection, cleaning, and analysis to support ongoing research studies. The data sets often include survey responses, experimental results, or large publicly available databases, depending on the organization's focus. You'll collaborate closely with senior analysts and researchers to interpret findings, prepare visualizations, and contribute to reports or publications. This exposure provides valuable hands-on experience with real-world data and research methodologies, helping you build a strong foundation for a future career in data analysis or research.

What is the difference between Research Data Analyst Intern vs Data Analyst?

AspectResearch Data Analyst InternData Analyst
CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time roles in various industries
Employer & IndustryUniversities, research institutions, or companies with research projectsBusinesses, finance, healthcare, tech, and more
Search & Comparison IntentUnderstanding entry-level research roles in data analysisSeeking full-time data analysis positions

The main difference between a Research Data Analyst Intern and a Data Analyst lies in experience level, work environment, and employment status. Interns are usually students or recent graduates working temporarily in research-focused settings, while Data Analysts are full-time professionals working across various industries. Both roles require similar foundational skills, but the internship offers a stepping stone into the data analysis career path.

What cities in Texas are hiring for Research Data Analyst Intern jobs?

Cities in Texas with the most Research Data Analyst Intern job openings:

Research Data Analyst Intern jobs near you
Infographic showing various Research Data Analyst Intern job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst Intern

Ericsson

Plano, TX • On-site

Full-time, Internship

Posted 7 days ago

Ericsson rating

9.2

Company rating: 9.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

2nd of 99 rated telecommunications companies

Job description

Grow with us
Finance Data Science & Automation Intern
Location: Plano, Tx
Duration: 12 weeks
Start date: May 25th, 2027
Please upload your unofficial transcript when applying.
Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position.
About this opportunity:
  • Ericsson is seeking a motivated Finance Data Science & Automation Intern to support the growth of its North American business. The role offers exposure to Finance, Accounting, Commercial, Operations, and transformation teams while addressing complex business challenges through technology, automation, and data science.
  • Interns will work in a fast-paced telecom environment shaped by emerging technologies, Network APIs, competition, and industry transformation. Ericsson is a global telecoms leader serving over 1,000 networks across 180+ countries and holds more than 50% of the U.S. wireless network market.

Join our Team
What you do:
As a Finance Data Science & Automation Intern, you will help modernize Finance by applying data science, AI, analytics, and automation to solve business problems. Working with Finance and cross-functional teams, you will build intelligent data solutions, improve data quality and governance, automate reporting, and develop AI-driven insights that enable faster, more informed business decisions.
Data Engineering & Governance
  • Build, maintain, and optimize data pipelines using SQL, Python, and automation tools.
  • Improve data quality, governance, documentation, reporting standards, and metric definitions.
  • Participating in discussion with stakeholders to translate business requirements into scalable data solutions.

AI, Automation & Advanced Analytics
  • Apply AI, machine learning, and advanced analytics to generate predictive and actionable insights.
  • Develop AI agents and automation solutions to streamline reporting and decision support.
  • Identify opportunities to improve efficiency, forecast accuracy, and business performance through data-driven innovation.

Finance Analytics & Reporting
  • Support Period End Closing (PEC) quality checks, reconciliations, and financial performance analysis.
  • Build financial models, forecasts, and business cases to support decision-making.
  • Develop Power BI dashboards and self-service analytics to drive business insights.

Business Partnership & Communication
  • Prepare executive-ready insights, presentations, and recommendations for finance leadership.
  • Partner with cross-functional teams to support transformation initiatives and continuous improvement efforts.

You will bring:
  • Pursuing a bachelor's or master's degree in finance, Accounting, Business Analytics, Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline.
  • Strong academic record and/or relevant internship, project, or research experience in finance, analytics, data, or business intelligence.
  • Proficiency in SQL, Python, Excel, and Power BI (or similar BI/reporting tools).
  • Exposure to AI/ML, predictive analytics, automation, or Generative AI is a plus.
  • Familiarity with cloud analytics platforms, APIs, Power Query, DAX, Azure, Fabric, or Databricks is desirable but not required.
  • Understanding of ETL/ELT, data pipelines, data quality, data modeling, and reporting concepts.
  • Interest in financial analysis, reporting, forecasting, automation, and data-driven decision-making.
  • Understanding financial reporting, planning, forecasting, variance analysis, and business performance metrics.
  • Ability to translate data into actionable business insights while maintaining strong attention to accuracy, governance, and controls.
  • Analytical mindset with the ability to solve ambiguous business problems.
  • Strong communication and stakeholder management skills with the ability to present technical and business insights clearly.
  • Demonstrated curiosity, ownership, adaptability, integrity, and a continuous learning mindset.
  • Effective collaborator with strong analytical, problem-solving, and results-oriented capabilities.

Eligibility requirements:
  • 2.7+ GPA on a 4.0 scale or equivalent
  • Available for a full-time internship for 12 week
  • Actively enrolled in an accredited undergraduate, master's, or PhD on a full-time basis at a four-year college or university at the time of the co-op

Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: United States (US) || Plano (Country/ City)
Job details: Financial Analyst
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.

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