Data Analytics & Visualization Engineer (ELK) with Security Clearance
Red River Technology LLC
Posted 8/25/2026
Ericsson
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## 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 opportunitie
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