Lead Associate, Consumer Data Insights, Private Equity Due Diligence - Remote

Overview

The 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 Short

• 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

• Bachelors or Advanced degree.
• Minimum 5 years of consulting, analytics or brand strategy experience.
• Experience working with Private Equity and Brand Corp Dev teams.
• Experience within Fast Moving Consumer Goods (FMCG) a plus.
• 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.

Benefits

• Comprehensive healthcare plan (medical, Rx, dental, and vision).
• Flexible spending accounts and a Health Savings Account (including company contributions).
• Life and AD&D insurance.
• 401(k) retirement plan including company matching contributions.
• Disability insurance.
• Tuition Reimbursement.
• Discretionary paid time off program and 11 paid holidays.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.