Hiring.Camp

Financial Data & AI Graduate

Ericsson

·

Today

Type
Full-time
Department
Finance
Source
Eightfold

Description

## Join our Team

Why Ericsson?

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.

About this opportunity:

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.

What you will do:

  • 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

Who you are:

  • We are looking for individuals with strong potential who are excited to learn, solve problems, and make an impact:
  • Recently graduated or in the early stages of your professional career
  • 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

What You'll Gain:

  • 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

Program Highlights:

  • 12-month paid assignment
  • Madrid, Spain
  • Designed as an immersive experience, with regular office collaboration helping you learn faster, build stronger connections, and become an active part of the team

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Spain (ES) || Madrid

Req ID: 788153

Skills

Data ScienceExcelPower BI

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