Data Analyst Intern

Ericsson•Plano, TX

1d•Onsite

About The Position

Ericsson is seeking a Finance Data Science & Automation Intern to support its North American business. The internship provides exposure to Finance, Accounting, Commercial, Operations, and transformation teams in a fast-paced telecom environment. The intern will apply data science, AI, analytics, and automation to business problems; build data solutions; improve data quality and governance; automate reporting; and develop AI-driven insights to support business decisions. The role includes data engineering and governance, AI and automation, finance analytics and reporting, and partnership with business stakeholders. The intern will work with Finance and cross-functional teams on scalable data solutions, financial analysis, reporting, forecasting, and transformation initiatives.

Requirements

Be 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.
Have a strong academic record and/or relevant internship, project, or research experience in finance, analytics, data, or business intelligence.
Demonstrate proficiency in SQL, Python, Excel, and Power BI or similar BI/reporting tools.
Understand ETL/ELT, data pipelines, data quality, data modeling, and reporting concepts.
Have an interest in financial analysis, reporting, forecasting, automation, and data-driven decision-making.
Understand financial reporting, planning, forecasting, variance analysis, and business performance metrics.
Be able to translate data into actionable business insights while maintaining attention to accuracy, governance, and controls.
Have an analytical mindset and ability to solve ambiguous business problems.
Have strong communication and stakeholder management skills, including the ability to present technical and business insights clearly.
Demonstrate curiosity, ownership, adaptability, integrity, and a continuous learning mindset.
Be an effective collaborator with strong analytical, problem-solving, and results-oriented capabilities.
Have a GPA of at least 2.7 on a 4.0 scale or equivalent.
Be available for a full-time, 12-week internship.
Be actively enrolled full-time in an accredited undergraduate, master's, or PhD program at a four-year college or university at the time of the co-op.
Upload an unofficial transcript when applying.

Nice To Haves

Exposure to AI/ML, predictive analytics, automation, or Generative AI.
Familiarity with cloud analytics platforms, APIs, Power Query, DAX, Azure, Fabric, or Databricks.

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 stakeholder discussions 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.