Consultant Data & GenAI / M&A Analytics (m/w/d)

Do you want to work in the Strategy, Risk & Transactions - Advisory - Mergers & Acquisitions department and support clients throughout the entire M&A deal cycle - from strategy and due diligence to financing and technology issues through to the successful implementation and integration of transactions? Our team supports clients in buying, selling or merging companies - strategically, financially and legally.

Make a difference with us and contribute to our common success as: Consultant Data & GenAI / M&A Analytics (m/f/d).

Location: Frankfurt (Main).

As a Consultant Data & GenAI - M&A Analytics (m/f/d), you’ll play a pivotal role in facilitating data driven decisions that power major transactions. Here’s what you’ll do:

• Develop product or system code while actively contributing to the overall quality of the codebase and the final products.
• Write backend and frontend code across various technologies, while facilitating communication and leading discussions with legal teams and cross-functional collaborators.
• Diagnose and prioritize product or system issues, debug, track, and resolve them by analyzing their root causes and assessing their impact on hardware, network, service operations, and overall quality.

• Bachelor’s degree or equivalent practical experience
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
• 1 year of experience with data structures or algorithms
• 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent
• Ideally, you have one of these qualifications: Data pipelining or staging / Data processing and analytics / Application development
• Fluent German and English language skills

• Exciting tasks in an innovative environment with highly motivated colleagues, who are already keen for your input
• Good general conditions with attractive salary and many additional benefits, e. g. company smartphone, bicycle leasing and corporate benefits
• Work-life balance with mobile working, part-time hours, EU remote working, sabbaticals, employee events, well-being offers such as health days, partnerships with fitness providers, and our family service that supports you with challenges in your personal life
• Excellent further education at the Deloitte University, at Deloitte University, at Deloitte University, in online and offline seminars and during professional qualification programs.
• Plenty of scope for creativity and active promotion of an inclusive corporate culture – for instance through our diversity and inclusion employee network

Our recruiting team looks forward to receiving your application documents (CV as well as general qualification for university entrance, university and work references) via our online form. A cover letter and an application photo are not required.

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