Senior Data Analyst Deals M&A
PwC France
Job Overview
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Job Description
Senior Data Analyst Deals M&A
With 300 professionals, the Deals (M&A) department supports companies and investment funds in their acquisition, divestiture, restructuring, or strategic decision-making projects.
In this context, the Deal Analytics team, in strong development, carries out in-depth analyses to provide new insights to its clients at all stages of an M&A process.
What you can expect from the mission:
You will participate in varied projects, within the Deal timeline (4 to 8 weeks), and be involved in the following areas:
- Bring a new perspective to company performance, for example: Exploit transactional data to analyze profitability drivers, conduct predictive analyses.
- Exploit external data, to couple it with company data and thus broaden the scope of relevant analyses.
- Use Data Visualization to explore the results of analyses.
You are the driving force for the team's development:
- Work within a young, dynamic team and be fully involved in team decisions.
- Work autonomously, invent new ways to approach problems, interact with the client and share your achievements.
- Participate in internal and external events (conferences, forums, school presentations, etc.).
You are the driving force in implementing new approaches within our Transactions teams:
- Train teams in new methodologies and skills.
- Support teams in Deals projects.
What we expect from you:
- You are a graduate of an engineering school or business school with a specialization in data and knowledge of corporate finance.
- You have excellent analytical and complex problem-solving skills.
- Curiosity, proactivity, openness, flexibility, and creativity define you.
- You have excellent communication skills and strong interpersonal qualities.
- You are proficient in Excel.
- You have a particular aptitude for using data manipulation, modeling, and visualization tools (Power Query, Power Pivot, Power BI, Tableau, Alteryx, etc.).
- You are willing to participate in the development of a booming team, with an entrepreneurial spirit.
- You speak English very well.
These benefits we offer you:
- Flexibility with the FlexWork charter: extended remote work, geographical mobility, FlexTime, Dress for your day.
- Sustainable mobility pass to cover your sustainable mobility expenses.
- Be Well, Work Well program to take care of your health (Gymlib partnership, United heroes app, sports associations, mindfulness training, etc.).
- Family Care program to support you in your parenting projects as well as in difficult times.
- Health ecosystem to find someone to talk to, be heard and helped whatever your professional or personal difficulties.
- 3-day credit per year on working time for societal engagement missions.
- Internal and international mobility possible after 18 months of seniority.
- Crystal Park (Neuilly-sur-Seine site): 2-hectare private park, concierge service, music room, gym, Café Joyeux, etc.
- New World. New Skills program to develop skills on tomorrow's issues (ESG, technologies, diversity inclusion) and Vantage on-demand training platform.
- And also: RTT, health and providence insurance, company restaurants and meal vouchers, benefits from the Works Council, etc.
All our offers are open to people with disabilities.
Key skills/competency
- Senior Data Analyst
- Deals
- M&A
- Data Analytics
- Financial Analysis
- Data Visualization
- Business Intelligence
- Problem Solving
- Excel
- Power BI
How to Get Hired at PwC France
- Tailor your resume: Highlight your data analysis, M&A, and corporate finance experience. Quantify achievements using numbers.
- Showcase your skills: Emphasize proficiency in Excel and data visualization tools like Power BI or Tableau.
- Demonstrate soft skills: Prepare examples of your analytical, problem-solving, communication, and proactive approach.
- Research PwC Deals: Understand their M&A advisory services, recent deals, and team culture to align your application.
- Prepare for interviews: Expect questions on data analysis techniques, financial concepts, and your experience with complex problem-solving.
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