E T Consultant- Analyst

Global Roles; Washington (District of Columbia); On-site; USD 100,000 - 140,000; Full time

Job summary

The World Bank's Development Economics Policy Indicators Group (DECIG) invites Extended Term Consultants to improve survey standardization, automation, and data processing for WBES and related surveys. You will strengthen automated workflows, QA, and AI-enabled processing while supporting reporting and dissemination.

Responsibilities include enhancing CAPI tooling, web scraping, and production of standardized outputs; training team members and documenting systems for sustainability.

Qualifications

• Master’s degree in Economics, Statistics, Data Science, Computer Science, or related quantitative field with 2+ years of experience (or Bachelor’s with 4+ years).
• Strong programming in STATA and Python; R knowledge a plus.
• Experience in applied research and data analysis, preferably private sector development or firm-level topics.
• Experience building automated, reproducible data workflows including cleaning, validation, processing pipelines.
• Familiarity with survey methodology: sampling frames, sample design, weighting.
• Experience with CAPI platforms (e.g., Survey Solutions) and with codebooks/metadata.
• Experience with data quality monitoring, dashboards, and monitoring tools.
• Experience with web scraping and data APIs for external data integration.
• Practical use of AI tools to automate tasks, with testing/validation.
• Git/version control and clear code documentation.
• Experience producing visualizations and standardized reports on large datasets.

Responsibilities

• Design and implement improvements in automated, reproducible workflows for recurring survey tasks.
• Maintain tools related to CAPI, codebooks, and central question bank; augment data via web scraping.
• Enhance automated quality monitoring systems for fieldwork and post-fieldwork review; develop dashboards.
• Develop automated data pipelines to prepare WBES data for publication with quality checks.
• Create automated production of standard country documents, graphs, and visualizations from WBES indicators.
• Identify tasks for automation or AI assistance; design, test, validate, document, and train teammates.

Skills

Dashboard Development

Web Scraping

Data APIs

AI Tools Usage

Output validation

Version Control Systems

Git

Code documentation

Data Visualization

Report Production

Large firm-level datasets

STATA Programming

Python Programming

R Programming

Applied Research

Data Analysis

Private Sector Development

Firm Level Data Analysis

Automated Geodata Workflows

Data Cleaning

Data Validation

Data Processing Pipelines

Survey Methodology

Sampling design

Survey weighting

CAPI platforms

Questionnaire documentation

Codebooks

Metadata Management

Data Quality Monitoring

Rule-based data checks

Education

Master’s degree in Economics, Statistics, Data Science, Computer Science, or related quantitative field

Bachelor’s degree with at least 4 years of relevant experience

Tools

STATA

Python

R

Job description

The World Bank's Development Economics Policy Indicators Group (DECIG) seeks Extended Term Consultants to strengthen survey standardization, monitoring, and automation, facilitate research output, and support dissemination around the World Bank Enterprise Surveys. The role involves improving automated workflows, quality control, data processing, and AI-enabled automation for survey data.

Responsibilities

• Design and implement improvements in the existing automated, reproducible workflows for recurring survey preparation tasks, including sampling frame processing, and sample design for WBES, as well as for the Micro and Informal Sector surveys.
• Maintain tools related to CAPI and codebook, and the central question bank, and augment data through web scraping to improve sampling frames.
• Enhance automated data quality monitoring systems for use during fieldwork and post-fieldwork review, including rule-based and AI-assisted checks, real-time dashboards, and standardized feedback to survey contractors.
• Develop and implement improvements in the automated pipelines to prepare WBES data for publication, including final data quality checks and cross-validation with the codebook.
• Design and implement automated production of standard country documents, graphs, and other visualizations based on WBES indicators for consistent and efficient output updates.
• Identify recurring tasks suitable for automation or AI assistance, design, test, and validate AI-enabled workflows to ensure accuracy and reliability, document these systems, and train team members for sustainability and transferability.

Requirements

• Master’s degree in Economics, Statistics, Data Science, Computer Science, or a related quantitative field, with at least 2 years of relevant experience (or a Bachelor’s degree with at least 4 years of relevant experience).
• Strong programming skills in Stata and Python; working knowledge of R is a plus.
• Experience conducting applied research and data analysis, preferably on private sector development or firm-level topics, including contributing to reports, papers, or policy notes.
• Experience building or maintaining automated, reproducible data workflows, including data cleaning, validation, and processing pipelines.
• Familiarity with survey methodology, including sampling frames, sample design, and survey weighting, is a plus.
• Experience with CAPI platforms (e.g., Survey Solutions) and with questionnaire documentation such as codebooks and metadata.
• Experience with data quality monitoring, including rule-based checks and the development of dashboards or monitoring tools.
• Experience with web scraping and data APIs for collecting and integrating data from external sources.
• Practical experience using AI tools (e.g., large language models) to automate routine tasks, along with an understanding of how to test and validate their outputs.
• Familiarity with version control (e.g., Git) and good practices in code documentation.
• Experience producing data visualizations and standardized reports; familiarity with large firm-level datasets is a plus.
• Exceptional attention to detail and accuracy, combined with excellent written and oral communication skills in English, including the ability to document systems clearly and train colleagues in their use.
• Well-developed interpersonal and teamwork skills, initiative, strong organizational skills and the ability to manage multiple priorities within tight deadlines, and a willingness to learn new tools and methodologies and apply them to improve workflows.

Skills

• Dashboard Development
• Web Scraping
• Data APIs
• AI Tools Usage
• Output validation
• Version Control Systems
• Git
• Code documentation
• Data Visualization
• Report Production
• Large firm-level datasets
• STATA Programming
• Python Programming
• R Programming
• Applied Research
• Data Analysis
• Private Sector Development
• Firm Level Data Analysis
• Automated Geodata Workflows
• Data Cleaning
• Data Validation
• Data Processing Pipelines
• Survey Methodology
• Sampling design
• Survey weighting
• CAPI platforms
• Questionnaire documentation
• Codebooks
• Metadata Management
• Data Quality Monitoring
• Rule-based data checks

Languages

English