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Data Analysis Intern Jobs in Dallas, TX (NOW HIRING)

Ericsson

Data Analyst Intern

Plano, TX · On-site

Grow with us Finance Data Science & Automation Intern Location: Plano, Tx Duration: 12 weeks Start ... Interest in financial analysis, reporting, forecasting, automation, and data-driven decision-making.

New

STMicroelectronics

Failure Analysis Intern

Coppell, TX · On-site

$30 - $40/hr

ST is excited to welcome a Failure Analysis Intern for our ST Coppell, TX office ( in-person internship). Please note: Candidates must be local to the DFW area to be considered for this internship ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

STMicroelectronics

Failure Analysis Intern

Coppell, TX · On-site

$30 - $40/hr

ST is excited to welcome a Failure Analysis Intern for our ST Coppell, TX office ( in-person internship). Please note: Candidates must be local to the DFW area to be considered for this internship ...

STMicroelectronics

Failure Analysis Intern

Coppell, TX · On-site

$30 - $40/hr

ST is excited to welcome a Failure Analysis Intern for our ST Coppell, TX office (in-person internship). Please note: Candidates must be local to the DFW area to be considered for this internship ...

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Data Analysis Intern information

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How much do data analysis intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analysis intern in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

Data Analyst Intern

Ericsson

Plano, TX • On-site

Full-time, Internship

Posted 3 days ago

New

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 Masters on a full-time basis at a 4-year college or university at the time of the internship

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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