Bainbridge, Inc.

Research Analyst Intern- Data Analytics

Remote
Internship
Data
Student (College)
Research Analyst Intern- Data Analytics

Bainbridge

Job Type: Internship/ 20-40 hours per week, flexible/ 90-day minimum commitment
Compensation: $22.00- $25.00 per hour
Position Location: Remote digital office (work from home), must be U.S.-based 
How to Apply: Interested candidates should submit a PDF version of resume and a brief letter of interest

Company Overview:
Bainbridge is a MIT-founded, Forbes-rated corporate development and professional services finance firm serving the world's top private equity funds and Fortune 1000 M&A departments. We have completed over $5 billion in small to large-cap acquisitions for PE funds and major corporations in all market sectors including: technology, healthcare, consumer goods, aerospace and defense, global supply chain, machine learning and energy. Bainbridge is currently experiencing exciting growth in the Investment Banking and Fintech areas. Please apply if you are seeking to be in one of the most sought-after markets in private equity that is redefining the financial services landscape.

Responsibilities:
  • Conduct comprehensive secondary research using various databases, online sources, and industry reports.
  • Utilize data scraping techniques to gather and analyze large volumes of data.
  • Analyze complex datasets using statistical tools and software (e.g., Python, SQL).
  • Assist in development of specific industries to inform data-driven strategies.
  • Collaborate with teams across the company, integrating data insights into business processes.
  • Stay updated on technological advancements in data analytics and industry-specific trends. 
  •  Assist with preparation of detailed reports to stakeholders, emphasizing strategic insights and industry expertise.
Qualifications:
  • Currently enrolled or recent graduate of accredited college/ university program in Business, Information Systems or a related field.
  • Demonstrated experience in data analytics, data mining, and secondary research.
  • Proficiency with MS Suite (Excel, PPT etc.)  
  • Strong analytical and problem-solving skills, with the ability to handle complex datasets.
  • Excellent communication and presentation skills, with a knack for translating data into actionable insights.
  • Professional demeanor and enjoys working on teams.
  • Willingness to learn. 
 



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