Senior Economic Research Associate

Job Description

Job Description

The Senior Research Associate will work closely with research managers and other researchers on the data-intensive components of applied economic research projects. The role requires experience in econometric analysis and forecasting; strong knowledge of economic and demographic data sources; and hands-on experience moving data from acquisition through extraction, cleaning, integration, validation, analysis, and documentation. The ideal candidate combines economic judgment with technical skill, can identify when data are not comparable or fit for purpose, and can translate complex evidence into accurate, client-ready findings while managing priorities across multiple project teams.

Key Responsibilities

Economic Data, Analysis & Forecasting

· Design and conduct regional, industry, labor-market, demographic, housing, and fiscal analyses; develop economic forecasts; and perform economic impact analyses using econometric, time-series, input-output, and other methods as appropriate.

· Conduct data-intensive work for applied economic research projects, from identifying appropriate public and proprietary sources through extraction, cleaning, integration, validation, analysis, and documentation.

· Manage and analyze complex economic datasets spanning demographic, labor-market and workforce, business and industry, housing and real estate, and spatial or parcel-level data.

· Build reproducible analytical workflows in Stata, R, Python, SQL, EViews, or comparable tools, with clear quality controls and documentation.

· Translate complex data and methods into accurate tables, visualizations, reports, presentations, and actionable findings for technical and non-technical audiences.

Project Execution & Quality Control

· Provide analytical guidance to junior research staff, including assigning and reviewing research tasks, troubleshooting data and methodological issues, and providing constructive feedback.

· Conduct quality-control reviews of datasets, code, models, methodologies, and deliverables for accuracy, consistency, and reproducibility.

Project Development

· Collaborate with research managers to scope data needs, assess feasibility, and develop appropriate analytical approaches.

· Contribute to proposals and develop reusable datasets, scripts, and research resources.

Qualifications & Skills

Education

· Master's degree in Economics, Applied Economics, Statistics, or a related quantitative field with substantial economics training (required).

· Advanced graduate training in econometrics, statistics, data science, or a related quantitative field is preferred but not required.

Experience

· Four or more years of applied economic research, forecasting, or economic data analysis experience in consulting, government, academia, or industry.

· Demonstrated hands-on experience independently managing large or complex datasets drawn from multiple public and proprietary economic sources.

· Demonstrated ability to manage competing analytical priorities and produce accurate, client-ready reports, presentations, and data products.

Economic Data Expertise

· Demonstrated hands-on experience working across multiple economic-data domains, including demographic and household, labor-market and workforce, business and regional economy, housing and real estate, and spatial or administrative data. Relevant sources may include Census/ACS/PUMS, BLS, BEA, LEHD/LODES, HUD/HMDA, CoStar, Lightcast, Data Axle, and state or local administrative records.

· Ability to work with raw data, microdata, and data from multiple sources, and to evaluate definitions, coverage, comparability, revisions, sampling error, margins of error, and other limitations.

Technical Skills

· Strong grounding in econometrics and experience developing, testing, validating, and interpreting forecasting or econometric models, including appropriate model diagnostics and sensitivity testing.

· Advanced proficiency in EViews or comparable statistical or econometric software, such as Stata, R, or Python, for data management, automation, econometric analysis, and forecasting.

· Strong Excel skills and experience retrieving data through APIs, SQL or other database-query tools, and structured file formats.

· Understanding of economic time series, geographic levels, industry and occupation classification systems, infl