Data Analyst Intern

Ericsson is a global telecommunications company seeking a Finance Data Science & Automation Intern to support its North American business. The role applies data science, AI, analytics, and automation to modernize Finance, including building data pipelines, improving data governance, automating reporting, developing financial analyses, and delivering actionable insights for business decisions.

What you'll do:

• 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
• 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

What they're looking for:

• 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