Full-Time Consultant, Private Equity Due Diligence (Consumer Data)

About this jobThe Financial Services Data as a Service (DaaS) Research Team delivers support and insights related to the raw datasets utilized by the investing community. Our products and services are designed for consumption by the Asset Management industry, which includes Hedge Funds, Mutual Funds, Pension Funds and Quantitative Funds. We’re a team of data-driven analysts who love turning data into actionable insights and clearly communicating those insights to our sophisticated investing clientele.

In this role, you will be responsible for supporting and working with clients using our numerous, global datasets. You will partner with teams across NIQ to analyze, build, and deliver unique data solutions that provide clarity to the important questions that our Asset Management clients are focused on. This specific role will focus on the Private Equity client base.

Responsibilities

• Support the suite of raw datasets including data trial support for prospects or current clients trying a new dataset
• Engage clients to provide a deep dive on the underlying data, derived insights, and serve as a resource for clients on datasets
• Understand drivers of company performance and marry that understanding with the signals that exist within our e-commerce data set through modelling and statistical analyses to create client insights for marketing and client engagement

Requirements

• Bachelor's or Advanced degree
• Minimum 5 years of consulting, analytics or brand strategy experience
• Experience working with Private Equity and Brand Corp Dev teams
• Ability to work under tight deadlines and fast-paced environment
• Knowledge of Python, R, SAS, MATLAB, or SQL/relational databases (preferred)
• Advanced knowledge of Microsoft Excel
• Strong verbal, presentation, and written skills
• Strong planning and organizational skills
• Desire to learn and continually upgrade skills
• Disposition to simplify research, work processes, and complex statistical concepts
• Quantitative aptitude with proven data analysis and problem-solving skills
• Ability to work independently, as part of a team, and communicate technical concepts clearly and concisely in oral and written form
• Ability to transition complicated processes to others and take over complicated processes from others
• Enthusiasm for working hard and having fun in a dynamic environment

What is the last date for applying to the job?

Which countries are accepted for this remote job?