Research Analyst

The Research Analyst supports departmental objectives on economic analysis and managing information technology & systems. Responsibilities include data gathering, econometrics, analysis of economic or statistical data sets, and basic programming for high-quality analyses.

Responsibilities

• Compiles statistical data, compares and evaluates alternative data sources, and ensures consistency of series and definitions.
• Computes data collected using statistical and econometric techniques and develops summary analysis, including summary tables and charts for various reports.
• Develops and maintains comprehensive and fully documented cross-country databases in accordance with Fund-wide data management requirements on an ad-hoc basis.
• Maintains relevant computer software, and writes, updates, modifies, and executes computer programs for statistical and econometric analysis.
• Initiates analytical work, especially the econometric analysis, underpinning the work of relevant papers and publications produced by the work unit.
• Participates in divisional/departmental research projects and drafts targeted notes on selected issues of relevance to the division's /department’s work program.
• Participates in occasional departmental missions and liaises with country authorities, academia, or financial institutions.

Requirements

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Computer Science, Data Science or other related quantitative field, but more competitive candidates would have a Master’s degree in the relevant field.
• Two years of relevant work experience in a similar role.
• Proficiency in MS Excel, including basic functions and formula.
• Proficiency in the use of analytical, statistical and econometric software packages such as STATA, EViews, R, TSP, SPSS, Matlab and SAS.
• Preferred: Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
• Preferred: Experience and ability to use a range of visual presentation tools such as PowerPoint, MS Excel charts, Tableau, Keynote, Prezi and other similar tools.
• Preferred: Familiarity with database management tools such as: Power BI, SQL, MS Access, IBM Cognos BI.
• Preferred: Knowledge of Python, C++, and other similar programming tools would be a plus.
• Proven ability to manage large and complex databases and develop summary analysis, including summary tables and charts, and sound analytical and problem-solving skills, including a knowledge of statistical applications and techniques.
• Sound organizational and data management skills, and ability to handle several responsibilities and work under tight time constraints.
• Ability to work without direct supervision, paying close attention to details and bearing independent responsibility for data accuracy.
• Proven experience in dealing with all levels of staff in responding to a wide range of inquiries.
• Ability to use tact, discretion, and sound judgment when dealing with clients and in handling confidential information.

Skills

• Economics
• Finance
• Statistics
• Mathematics
• Computer Science
• Data Science
• MS Excel
• STATA
• EViews
• TSP
• SPSS
• Matlab
• SAS
• Power Point
• Tableau
• Power BI
• SQL
• MS Access
• IBM Cognos BI
• Python
• C++
• Database Management
• Data Analysis
• Econometrics
• Statistical Applications
• Data Management
• Macroeconomic Analysis

Languages

English