General Information

Position
Data Analyst (M&A Data Analytics Team in Financial Advisory)
Work arrangement
Full-time
City
Gdansk, Katowice, Poznan, Warsaw
Country
Poland
Department
Financial Advisory
Team
Valuation & Modeling
Area of interest
Data & Analytics
Way of work
Hybrid

Description & Requirements

Who we are looking for

Someone with a passion for Data Analytics, who is eager to collaborate on solving business problems by handling large data sets and using analytics tools to empower data-driven insights in all phases of our M&A and portfolio valuation projects.

You are a perfect candidate for this role if you have:

  • 1-3 years of experience working with large datasets, ideally in a technical team, in a bank or a big consulting company,
  • Strong attention to detail, a reputation for completing tasks on-time and without errors,
  • SQL, at least some experience with any major Cloud or on-prem databases (we work with different databases and SQL dialects, depending on the project),
  • Dashboarding tool skills (Tableau, Power BI, Looker, Qlick or Python/R-based tooling for interactive dashboards),
  • Degree or studies in progress in a quantitative discipline (computer science preferred).

It would also be a great advantage if you have practical experience or interest in mastering skills in some of the tools below:

  • Python (Pandas, scikit-learn) / R,
  • ETL tools (Airflow, Alteryx, SSIS),
  • Database administration,
  • Basic Linux administration,
  • Excel and VBA (we also welcome candidates who prefer to stay away from Excel and choose open-source solutions instead),
  • Git and platforms like GitLab or Bitbucket (we are on Azure DevOps).
Your future role

This is an excellent opportunity to grow or to kick-start your career in data analytics.

Join a friendly team of data professionals with a huge impact on exciting Financial Advisory projects ranging from building software tools for modern due diligence processes to influencing bank portfolio valuations by informing investors about company performance using business insights.

Main tasks will include:

  1. In order to empower data-driven decision making:
  • Merge data from disparate sources, automate data flows and calculations,
  • Clean and structure data, build data marts,
  • Aggregate data, often at multiple levels, create and maintain OLAP cubes, participate in iterative design and implementation of data models,
  • Test technical solutions, optimize for quality, automation and scaling
  • Discover patterns and links in structured and unstructured datasets,
  1. Design and develop dashboards, visualizations and models in an iterative, Agile process,
  2. Collaborate on the team code repositories,
  3. Support colleagues from other Teams with data-related challenges,
  4. Provide insights and advice based on data analysis – internally as well as for our clients.
What we offer
  • Clear career path and Career Coach, who will guide you through the organization and your opportunities,
  • Wide range of trainings and knowledge development opportunities, including financing of your certificates and workshops in a chosen career specialization,
  • Challenging tasks with the freedom of action in your field,
  • Friendly team atmosphere, flexible working set-up and excellent working conditions.

About Deloitte

Deloitte is a variety of people, experience, industries and services that we deliver in 150 countries of the world. It is an intellectual challenge, a good starting point for your career, and an excellent opportunity for continuous development and gaining valuable life experiences. What you only must do is to take the first step – press the apply button and send us your CV, go through all the stages of the recruitment process and sign a contract with us. Deloitte is simply your best choice.

About the team

Financial Advisory – we are leader on the global scale in terms of closed transactions according to Mergermarket. We advise our clients on corporate finance, debt and capital financing, mergers and acquisitions, valuations, due diligence and restructuring.