> Markdown version of [/jobs/ext/2693405-indicators-economic-data-analyst](https://www.wearedevelopers.com/jobs/ext/2693405-indicators-economic-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Indicators Economic Data Analyst

- **Company:** Stanford University
- **Location:** Stanford, CA, United States
- **Experience:** Experienced
- **Salary:** $91,644.0 - $123,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Databases, Data Dictionary, Data Governance, Data Visualization, Document-Oriented Databases, Python (Programming Language), Standard Sql, Automated Data Processing (ADP), Google Cloud, Cloud Platform System, Git, Information Technology, Software Version Control, Custom Reports
- **Published:** September 3, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3375520052&tx=HT7266TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Bachelor's degree and three years of relevant experience, or a combination of education and relevant experience, in a quantitative discipline such as economics, finance, statistics, computer science, data science, or engineering.

 * Strong SQL and Python skills; experience with R, cloud environments such as Google Cloud, Git-based version control, APIs, and visualization or business-intelligence tools is preferred.
 * Experience working with large economic or labor-market datasets, including restricted, licensed, or confidential data.
 * Knowledge of econometrics, data analysis, data visualization, reproducible research, and artificial intelligence measurement.
 * Excellent analytical, organizational, written, and oral communication skills; ability to complete detailed work accurately under deadlines with minimal supervision.
 * Creative, independent problem-solving skills and the ability to collaborate with researchers and technical partners from diverse backgrounds.

## Description

The Stanford Digital Economy Lab is seeking an Economic Data Analyst to perform complex technical and analytical work supporting Indicators , the Lab's public-facing platform for measuring the economic impact of artificial intelligence. Reporting to the Research Manager for Indicators, this position will query and integrate structured economic and labor-market data, independently produce standard and custom reports, devise methods for identifying patterns and trends, build non-routine analytical databases, and create publication-ready metrics and visualizations with minimal supervision.

The Economic Data Analyst will clean, validate, integrate, and document data from sources including ADP, the U.S. Census Bureau, job-posting providers, government agencies, surveys, and public repositories. The analyst will create analysis-ready relational tables, longitudinal datasets, derived indicators, data dictionaries, quality-control summaries, reports, charts, dashboards, and approved data extracts. The position will also develop and evaluate algorithms and statistical models related to AI adoption and exposure, employment, wages, occupations, industries, and skills demand; recommend improvements to data collection and reporting; respond to non-routine analytical and survey requests; implement data standards and common metric definitions; and test prototype pipelines, APIs, calculations, database changes, and visualizations for release readiness.

The successful candidate will work closely with economists, faculty, research scientists, postdoctoral scholars, graduate research assistants, data providers, engineers, designers, communications teams, and other Stanford partners. The role requires strong technical judgment, careful documentation, and the ability to translate complex findings into trustworthy information for academic, policy, industry, media, and public audiences.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain)
- [Branch your database like your code:  How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand)

## Related Articles

- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)