Research Data Analyst

  • Full-time

Company Description

Thinknum is one of the fastest growing web data software startups in the world. 

Thinknum creates datasets from a broad array of public online sources, capturing ephemeral information on the products, operating markets and labor markets of 400,000+ global companies across sectors, and provides rich toolsets for extracting intelligence. Thinknum has 150+ clients across major corporations and investment firms.

Thinknum's founders met at Princeton University and worked at Goldman Sachs and a hedge fund respectively before starting the company.

Job Description

As a research data analyst, you’ll communicate thought-provoking and original analytical findings to the marketing and media teams of Thinknum as well as to a client base that includes over 150+ clients across major corporations and investment firms. You have exceptional attention to detail, a good understanding of business / financial knowledge, and an eye for discovering insights. You should have demonstrable experience with quantitative analysis / statistics either through college coursework or professional experience. 

You will join a fast-growing startup which offers exciting opportunities to those that are willing to put in the work. 

This is a salaried position with full benefits. 

What We Need You To Do

  • Providing Thinknum's editorial team with thought-provoking and analytical findings rooted in alternative web data
  • Authoring and supporting the creation of reports and features with insights rooted in alternative web data
  • Be comfortable learning new systems and data technologies
  • Conducting quantitative analysis 
  • Ability to pitch and defend findings
  • Authoring articles for industry publications 

Qualifications

 

What You Bring To Thinknum

  • Exceptional writing skills 
  • Ability to pitch ideas
  • Thorough attention to detail
  • Solid quantitative analysis expertise 
  • Knowledge of databases (e.g., SQL), or interest to get up to speed quickly
  • Advanced Excel skills
  • Hard-work and diligence (we work at least 50 hours/week and have a daily morning meeting at 8:30 am)
  • Strong secondary research / information discovery and aggregation skills 
  • Excellent communications and presentation skills 
  • Technology market research / industry analysis experience is strongly preferred 
  • Bachelor’s degree required, Master’s degree strongly preferred 
  • What we are NOT looking for: If you are primarily interested in AI, Machine Learning, Blockchain, Research, or Management this job is not a good fit

  • Interest in finance and software are a plus

  • Proficiency in Excel is a plus

 

Additional Information

All your information will be kept confidential according to EEO guidelines.