Economic Data Analyst

New York, NY
408/Knowledge Management
New York, NY
Depends on Experience 
Full Time

About The Conference Board

Founded in 1916, The Conference Board is the member-driven think tank that delivers trusted insights for what’s ahead. Our agenda is simple: to help leaders navigate the biggest issues facing business and better serve society. We believe in innovative approaches that make you think- and act- differently. And everything we do reflects the input of our members and their real-world challenges. 

We do this by delivering business insights. We connect senior executives across industries and geographies to share ideas, and our experts create fact-based research and consensus-driven policy statements to help leaders address their most important business issues.

Because we are independent, non-partisan, and non-profit our work is trusted. If you learned it at The Conference Board you can count on it.

What it’s like to work here:

While it’s serious work to operate a global business think tank, it’s also fulfilling — and fun! Our people enjoy what they do and know their ideas matter. 

We encourage everyone to take personal ownership for outcomes: we collaborate, share a purpose and commit to each other and to our Members. It’s all about doing our very best - which means we succeed as our Members succeed - together we improve society.

The Conference Board invites all interested and qualified candidates to apply for employment opportunities. If you are an individual with a disability in need of assistance with our online application system and would like to request a reasonable accommodation,  please email Susan Fahey at or call at 212-339-0323. Please indicate your full name, contact information and the specific accommodation needed.

      Position Summary:

The Economic Data Analyst position requires a person having both backgrounds in economics and programing. The ideal candidate will provide programming, statistical, analytical, and graphical support to the Economy Strategy & Finance Center. As part of the Economics team, the Economic Data Analyst will work with complex data sets, conduct data analysis and modeling, help create data-based insights for internal and external users. Projects may involve statistical analysis, including the use of econometrics and machine learning.


  • Supports the monthly production of The Conference Board Leading Economic Indexes and other indicators, including Help Wanted Online, in a timely manner meeting all deadlines.
  • Assists in the development of statistical and predictive models, such as recession probabilities.
  • Develop actionable insights and/or chartbooks using Tableau.
  • Utilize programming skills to transform databases for use in our Data Central tool.
  • Contributes to the overall Economics Program work through support of additional projects.
  • Other duties as assigned.

Knowledge and Skills:

  • Experience using statistical computer languages (R, Python, EViews, SQL, SAS, SPSS) to manipulate data, draw insights and create visualizations from large data sets.
  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, dynamic factor modeling, machine learning, etc.) and experience with applications.
  • Experience visualizing/presenting data for stakeholders using Tableau.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Innovative and able to develop new project ideas.

Education and Experience Requirements:

  • Master’s in economics and/or computer science, or Undergraduate degree in economics and/or computer science plus 2 years of work experience.
  • Preferred coursework in economics, mathematics, statistics, and computer science.
  • Experience working with economic data and large and complex databases.
  • Experience using Excel, Word, Access, PowerPoint.
  • Candidate should be detail-oriented; a team and independent worker able to effectively multi-task and meet strict deadlines.