Data Analyst Intern

## 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 [email protected].

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.