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Financial Data & AI Internship - CU WEU

Робота на місці

Дата публікації: 08.08.2026

Every day, billions of people rely on Ericsson technology to stay connected. Behind those connections are teams using data, analytics, automation, and AI to improve business performance and support better decision-making across global markets. This opportunity is designed for emerging talent looking to gain hands-on experience in a global technology company while developing skills at the intersection of business, analytics, automation, and AI. Join the Business Control team supporting one of Ericsson's Customer Units Western Europe and help improve how data, reporting, automation, and AI are used to drive business performance. Working closely with Business Controllers and business stakeholders, you'll contribute to financial and business analysis, reporting, dashboard development, process improvements, and AI-powered ways of working.

Responsibilities

Support Business Controllers in preparing financial and business performance analyses, including revenue, margin, OPEX, working capital, and incentives; Build and maintain reports and dashboards using Power BI and Excel; Use AI tools such as Copilot, Everyday Assistant (Glean), and similar technologies to improve productivity and insights; Prototype AI-powered workflows and automation opportunities; Connect, transform, and improve data from multiple business sources; Improve data quality and consistency used in forecasting, target setting, and performance follow-up; Contribute to business analytics, forecasting, and decision-support activities; Support presentations and business reviews for stakeholders

Requirements

Currently enrolled in University doing a Degree or Masters program; Degree in Business Administration, Economics, Finance, Engineering, Data Science, Analytics, or a related field; Strong interest in data, business analytics, automation, and AI; Comfortable working with data and turning information into insights; Curious, proactive, and eager to learn; Strong problem-solving, communication, and collaboration skills

Benefits

Real business experience from day one; Hands-on exposure to analytics, automation, reporting, and AI-enabled ways of working; Opportunities to learn from experienced professionals across business and finance teams; Learning, mentoring, networking, and leadership exposure opportunities; Collaboration with colleagues across countries, functions, and markets; Practical experience at the intersection of business, technology, and data; 12-month paid assignment
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