data analyst
Have you ever wanted to be the part of an exciting fin-tech project? Or wanted to develop a novel way of forecasting risk and performance for innovative financial products? Bella Private Markets, a consulting firm associated with Dr. Josh Lerner of Harvard Business School, is seeking a Data Analyst to help with projects just like these.
Bella Description
Bella Private Markets focuses exclusively on providing solutions to the challenges facing the private capital industry. Bella combines rigorous academic approaches with real world industry expertise to provide actionable insights for our clients. We focus on complex, customized projects that require thorough analysis, whether quantitative or qualitative in nature, to help our clients improve performance, optimize operations, and chart winning strategies for the future.
Job Description: Data Analyst
Data Analysts engage in a broad range of research related to private equity, venture capital, and innovation. Data Analysts work closely with Bella colleagues to assist them with investment performance benchmarking and analytics, economic research, and government policy reports requiring empirical evaluation. Previous projects on which Data Analysts collaborated include: performance decompositions and attribution analyses of private equity firms; an economic analysis of the impact of a change in patent law on small businesses; and identification of trends in venture capital financing for various geographies.
Bella offers Data Analysts the opportunity to explore in-depth the notoriously opaque private equity industry. Beyond working with Dr. Josh Lerner, named one of the most influential people in private equity, Data Analysts also work with private equity investors themselves.
Location
Boston, MA (hybrid work schedule)
Qualifications
Basic qualifications for the Data Analyst position include:
An undergraduate degree in Statistics, Applied Mathematics, or similarly quantitative fields with a minimum GPA of 3.5.
Two years of related work experience.
A Master’s degree in Statistics, Applied Mathematics, or similar can substitute for the required work experience.
Internships, research roles, or similar non-full-time experiences involving data science projects will be considered toward this requirement.
Proficiency with R or Python.
The ability to prepare written methodologies describing analytical projects.
Ideal candidates for the Bella Private Markets Data Analyst position have the following skills and characteristics:
Quantitative skill
Data Analysts should be comfortable working with large and varied datasets. Data Analysts should also be comfortable navigating academic journals to find specific articles and data points of interest. They are also involved in quantitative modeling projects. As such, Data Analysts should have experience using R or Python at a minimum and be able to demonstrate an ability to process data, execute analyses, and derive clear and presentable insights from data.
Project scoping
Bella projects are open-ended in nature and often are completed without specific guidelines. Data Analysts should therefore be prepared to help scope projects, develop methodologies, and plan analyses.
Research skill
Data Analysts synthesize large amounts of information to offer a thorough overview of a range of topics. The value-add on many projects stems from the use of a variety of sources to present a clear picture—from general context to fine detail—on a given issue. Bella launches Data Analysts into the world of private equity and will often ask Data Analysts to work on projects on which they have minimal prior knowledge.
Collaboration
Data Analysts should be team players. Data Analysts must enjoy working on projects in a collaborative environment and enjoy learning from others.
Notes: This job requires US work authorization. Proof of full COVID-19 vaccination required prior to start date.
Application
Applicants should submit the following to hiring@bella-pm.com:
Cover letter.
Resume.
Academic transcript (undergraduate and graduate, if applicable).
Coding sample (ideally, showing a basic analysis in R or Stata).
