Heading

Plano, TX

Internship

Hybrid

Intern

Ericsson is a global telecommunications company serving networks worldwide and advancing technologies such as Network APIs and data-driven transformation. The Finance Data Science & Automation Intern will apply data science, AI, analytics, and automation to modernize Finance, improve data governance and reporting, and support informed business decisions. The role also involves developing data solutions, financial analyses, dashboards, and executive-ready insights in partnership with cross-functional teams.

Apply Now

Responsibilities

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

Qualification

Required

Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's
Ericsson also does not hire F-1's working on CPT or EAD for this position
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
Actively enrolled in an accredited undergraduate, master's, or PhD on a full-time basis at a four-year college or university at the time of the co-op

Preferred

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