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Manager, M&A Analytics
DELOITTE LLP
- Birmingham, England, United Kingdom
- Birmingham, England, United Kingdom
About
Working on complex and fascinating projects across deals and performance improvement with some of the most talented and experienced M&A and value creation analytics professionals. You will have the opportunity to work on a wide variety of projects, with a diverse mix of mid‑market and big‑ticket clients, in a highly commercial, but supportive and collaborative team environment.
Our M&A analytics team provide insights from data to advise our clients to improve business performance and execute smarter transactions. A typical project consists of aligning our approach to the client’s objectives and goals, understanding the industry sector and market in which they operate, manipulating and synthesising large datasets, producing visually impactful and interactive analysis and using this to advise our client to drive value.
Responsibilities
Quickly develop an understanding of our client, the industry sector it operates in and what drives the business and its end markets
Manipulate large data sets using SQL Server, Alteryx, Python, R, PowerPivot and producing insightful analysis that answers the key questions and proves the story of the business and its value
Develop interactive data visualisations in PowerBI & Tableau and use these to present key findings to clients
Our most common areas of analysis are revenues and profits by product and customer, considering customer lifecycle, product maturity, performance by segment/region, whitespace and opportunity, areas of risk and improvement opportunities, alongside many others
Collaborate extensively with other Deloitte engagement teams to deliver a full suite of end‑to‑end M&A and value creation services
Work effectively in diverse teams with an inclusive team culture where people are recognised for their contribution and support each other to learn and prosper
Qualifications
Working knowledge of some analytical tools, such as PowerBI, Tableau, Alteryx, Excel (including Power Query/Pivot), SQL, Python, R or any other related technologies. Strong knowledge of relational data modelling in PowerBI, including DAX will be an advantage.
Knowledge of and experience in cloud data tools, such as Azure, Snowflake, Fivetran will be an advantage.
Ability to manipulate, analyse and visualise client data into value‑add financial and commercial analysis
Ability to present findings from large volumes of data and communicate effectively with clients in a professional services or business partnering arena
Understanding of financial and commercial business drivers
Some accounting and general finance knowledge, whether basic or advanced
Proven analytical skills and systematic problem solving
Demonstrated ability to work with others effectively in teams and being able to work under own initiative under tight timeframes
Desire to learn new skills and grow your knowledge
Ability work well with others and (depending on seniority of role applied for) experience at supervising and upskilling other team members
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Languages
- English
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