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Job Description
Are you passionate about leveraging data and analytics to gain powerful insights and drive strategic M&A decisions? Be a part of the fast-growing area of M&A Analytics, where we use data to drive insights and decisions in transaction processes.
Data analytics within M&A is not just about processing financial numbers, it is about creating a story which explains the historical performance of a business and the trajectory that the business is on. Our role is to transform complex data engineering and analytics tasks into simple, compelling narratives, providing strategic insights that have a direct impact on the deal at hand.
The primary focus will be on M&A engagements, with additional responsibilities including post-deal client support to enhance internal processes and management reporting. As an analyst in our M&A offering you will be part of a project team working with both M&A specialists and analytics specialists across the Nordics.
In this role, you will make an impact by:
- Playing a key role in supporting clients throughout M&A processes in a client-facing role.
- Gaining valuable insights across a diverse range of industries and businesses through a dynamic, project-based work environment.
- Rapidly developing a deep understanding of businesses and the factors that drive their performance.
- Transforming large datasets into clear, relevant, and compelling analyses.
- Developing both static and interactive data visualisations to effectively communicate business insights, supporting analysis of historical trading, quality of earnings, working capital, and more.
- Collaborating closely with Deloitte engagement teams and clients, ensuring clear communication of requirements, timelines, and insights to all stakeholders.
Requirements
- You hold a Master's degree in Finance, Business, Engineering, Economics, Mathematics, Computational Sciences, or a related field.
- You have 1–3 years of relevant professional experience.
- You possess proficiency in data management, cleansing, querying, and manipulation using tools like SQL, Python, or Alteryx.
- You have knowledge of data visualisation tools such as Power BI (including DAX) and Excel.
- You demonstrate a curious, analytical mindset with a structured approach and an understanding of finance, accounting, and business strategy.
Skills
Experience
junior