Data Analyst Deals M&A CDI H/F
@ PwC

Neuilly-sur-Seine, Ile-de-France, France
€60,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @pwc.com
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Job Details

About the Role

The Data Analyst Deals M&A CDI H/F at PwC is part of a global data community of 300 experts. The Deal Analytics team works on M&A projects, analyzing transactional data and external data to offer new insights for strategic decisions.

Key Responsibilities

  • Analyze transactional and external data for profitability insights.
  • Perform predictive analyses and data visualizations.
  • Engage in team-driven projects lasting 4 to 8 weeks.
  • Coach teams on new methodologies and data tools.
  • Participate in internal and external events and trainings.

Your Profile

  • Graduate from an engineering or business school with data specialization.
  • Strong analytical, problem-solving, and communication skills.
  • Proficient in Excel; knowledge of PowerQuery, PowerPivot, Tableau, PowerBi, Python or R is a plus.
  • Fluency in English and entrepreneurial spirit.

What PwC Offers

  • Flexible work arrangement with extensive remote options.
  • Modern workspace at Crystal Park in Neuilly-sur-Seine.
  • International mobility and continuous learning programs.
  • Comprehensive benefits including health, family care, and sustainable mobility programs.

Key skills/competency

  • Data Analysis
  • M&A
  • Data Visualization
  • Predictive Analytics
  • Excel
  • Python
  • Tableau
  • Communication
  • Teamwork
  • Innovation
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How to Get Hired at PwC

🎯 Tips for Getting Hired

  • Research PwC's culture: Study their mission, values, and news.
  • Customize your resume: Highlight data analysis and M&A skills.
  • Network online: Connect with PwC employees on LinkedIn.
  • Prepare for technical interviews: Practice Excel, data tools, and problem-solving.
  • Review case studies: Understand PwC's approach to M&A analytics.

📝 Interview Preparation Advice

Technical Preparation

Review Excel advanced functions and data tools.
Practice Python or R basics for data analysis.
Experiment with Tableau and PowerBI visualizations.
Study real-world M&A case studies.

Behavioral Questions

Describe a time solving complex data issues.
Explain your teamwork in a fast-paced project.
Discuss handling client feedback effectively.
Illustrate learning from a challenging mistake.

Frequently Asked Questions