Data Analytics Manager
The role:
You will be joining a fast-growing team within Deal Advisory that is driving value for clients using data-enabled solutions.
The team works on a variety of engagements across industries, and the analytics required will vary by engagement.
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
Qualifications:
- 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
- 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
- Tableau, Alteryx, PowerBI, SQL or similar capability highly preferred. R, Python, or other ETL tools are an advantage.
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