Analyst/Senior Analyst | Data & Analytics | Stockholm

at  EY

Are you passionate about understanding what drives business performance, the latest technology, and M&A? Are you excited about finding new and innovative ways to solve problems? Within Data & Analytics (part of EY Strategy and Transactions) you will have the opportunity to be part of a new wave of business analytics within the world of M&A, helping our clients get to faster and deeper insights than ever before.

SKILLS AND ATTRIBUTES FOR SUCCESS

• Passion for learning and commanding the latest innovations and technology trends
• Analytical thinkers excited about solving complex problems in a fast-paced environment
• Dynamic team players who work well with people with different personal and technical backgrounds

YOUR ROLE AS AN ANALYST/SENIOR ANALYST

In your role you will help our clients uncover the key drivers behind their businesses by building new solutions, analysing structured and unstructured datasets, and bridging the gap between data owners and users. Whether you are working with a private equity client looking to sell a portfolio company or guiding a corporate client through their first ever acquisition – no project is ever the same and every transaction presents its own unique set of challenges and analyses.
The one area that will be consistent throughout is the use of data driven solutions to analyse large and complex datasets – building sophisticated transaction driven analyses to help address our clients’ challenges in fast-changing markets. The central driver of the Data & Analytics group is a constant ambition to improve the M&A process, recognizing the significant untapped value that sits in the ever-growing volume of data our world is generating.
You will be a part of a Nordic-wide team, a group with a diverse set of backgrounds including data science, engineering, finance, and accounting (amongst others). You will have the opportunity to work on projects both in Sweden, as well as abroad, working side by side with talented and driven colleagues who will give you the support and guidance to succeed from day one.

TO QUALIFY FOR THE ROLE

• In your final year of university or up to 2 years of postgraduate experience with a strong academic track record
• Strong academic track record
• General business acumen and an interest/understanding of finance
• Strong communication and presentation skills
• Experience/knowledge of programming languages and data visualization tools, e.g.:
• Programming languages such as Python, R, SQL
• Visualization software such as Power BI, Tableau
• Some experience/knowledge of the below technologies is desired (but not critical):
• Data processing such as Databricks, Snowflake, DataIku
• AI/ML
• Cloud technology such as Azure, AWS, GCP
• Git such as GitHub, GitLab, Azure DevOps