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,