The team:
The Deal Analytics Team is one of KPMG’s highest growth areas and works directly with KPMG’s Deal Advisory team. The team works to rapidly understand the profit drivers and trends of a business through analysis and manipulation of large volumes of data to deliver value-add insights for our clients. We also challenge assumptions of future performance to assist with purchase agreements and post-transaction matters.
Our team uses a combination of Alteryx, Tableau, and proprietary software to produce the aforementioned analyses in an efficient and effective manner. The deal teams and Target businesses we serve are routinely impressed with the speed at which we can create robust analysis. For example, we can understand, at a transactional level, what is driving a business, often in 1-2 weeks, working with datasets in the tens of millions.
The role:
You will be joining a fast-growing team within Deal Advisory that is driving value for our clients using data-enabled solutions. So what does that actually mean?
Our team works on a variety of engagements across industries, and the analytics required will vary by engagement. The list of analyses below, therefore, is just a sample of what we produce, and our product offering is ever-expanding.
Using transactional, public, and private datasets, our team delivers insights on customers, products, and other categories regarding:
- Sustainability
- Pricing
- Turnover
- Profitability drivers
- Customer/Product lifetime value
- Concentration risk
- Effectiveness and impact of strategic decisions
- Wallet share
- Feasibility of meeting financial goals
Given the small, entrepreneurial nature of the team, you will also help on ad hoc tasks for the team. These requests vary widely in nature and may include developing and leading internal trainings, assisting the risk management process, staffing and resourcing, client pitches, and networking events.
Responsibilities:
- Uncover insights quickly and accurately by collecting, processing and analysing raw data obtained from a target to give transaction and strategic deliverables a boost
- Utilise a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
- Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
- Prioritize and effectively manage several deal deliverables across multiple deals
- Manage staff on your engagements to provide real time feedback and guidance to client and diligence providers to help ensure timely and efficient product delivery
- Train staff on relevant engagement analyses and industry KPIs
- Develop operational protocol for offshore teams and work closely with research team to support analysis
- Utilise non-chargeable time to network, attend trainings, and develop and implement new analytical approaches (by industry where applicable)
Qualifications:
- Strong experience in public accounting, advisory, financial audit, mergers & acquisitions, transaction services, strategy consulting or equivalent
- Bachelor's degree from an accredited college/university (MBA from an accredited college/university preferred)
- Experience in project management including: planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
- Exceptional attention to detail
- Excellent analytical skills and the confidence to translate complex & large datasets into meaningful insights
- Strong critical thinking skills, including “investigative” mind-set
- Proficiency with Microsoft Excel skills, especially pivot tables, ideally shortcuts and macros
- Knowledge of database systems, research tools, and accounting analysis
- Excellent written and verbal communication skills with the ability to thoroughly yet concisely explain:
o Technical concepts and analytics-driven findings
o Business processes, concepts, challenges, and issues to non-technical resources
- Desire to work in fast-paced, team-oriented, loosely-structured environment
- Desire to learn new technologies and skills
- Travel may be up to 10-20%
- Tableau, Alteryx, PowerBI, SQL or similar capability highly preferred. R, Python, or other ETL tools are an advantage.