Data Analyst Intern

Ericsson•Plano, TX

3d•Onsite

About The Position

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.

Requirements

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).
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.
2.7+ GPA on a 4.0 scale or equivalent
Available for a full-time internship for 12 weeks
Actively enrolled in an accredited Masters on a full-time basis at a 4-year college or university at the time of the internship

Nice To Haves

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.

Responsibilities

Build, maintain, and optimize data pipelines using SQL, Python, and automation tools.
Improve data quality, governance, documentation, reporting standards, and metric definitions.
Participate in discussions with stakeholders to translate business requirements into scalable data solutions.
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.
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.
Prepare executive-ready insights, presentations, and recommendations for finance leadership.
Partner with cross-functional teams to support transformation initiatives and continuous improvement efforts.