$45–55/hr · Mercor · Hourly, 40 hours a week
You perform statistical analyses using Stata SE and document your analytical workflows through high-resolution screenshots for research or training purposes.
What you would do
- Execute statistical analyses on survey data, panel datasets, or other quantitative information using Stata SE procedures
- Navigate Stata's command interface and menu systems to implement econometric or biostatistical methods
- Document analytical workflows and results by capturing high-resolution screenshots showing interface navigation and output
- Apply appropriate statistical techniques based on data structure and research objectives
Who they want
- Hands-on experience using Stata SE for quantitative analysis in your STEM field
- Windows computer with Stata SE already installed and accessible
- Display setup capable of capturing screenshots at 2560x1440 resolution or higher
- Understanding of statistical methods relevant to biostatistics, epidemiology, economics, or social science
Main skills
What the interview asks about
1.Stata command and workflow execution
Your ability to efficiently navigate Stata and execute analysis procedures determines work quality and speed. The interviewer checks whether you work from familiarity versus learning menus constantly.
For example: “You need to fit a logistic regression model with survey weights on 50,000 observations grouped by 100 clusters. Describe the specific Stata commands you would use and why this approach handles the survey design correctly.”
2.Statistical method selection
Applying the wrong analytical technique leads to invalid results. Your methodology judgment shows whether you understand when standard regression, panel methods, or survival analysis is appropriate.
For example: “You have panel data spanning 10 years for 5,000 individuals with some missing years. When deciding between fixed effects, random effects, or pooled regression, what data characteristics would guide your choice?”
3.Data structure handling
Mishandling survey clusters or panel identifiers produces incorrect standard errors and invalid inference. Your data preparation competence directly affects result accuracy.
For example: “Survey data contains individual records with a household identifier. How would you structure this in Stata to ensure regression analysis properly accounts for the survey design?”
4.Screenshot quality and communication
Documentation must show work clearly enough for verification or training. Poor screenshots hide what procedures were actually used or whether results are correctly interpreted.
For example: “You're documenting a three-stage analysis including data import, model specification, and output interpretation. What specific elements would you ensure are visible in your screenshots?”
5.Output interpretation and troubleshooting
Recognizing diagnostic issues like multicollinearity or convergence failures prevents invalid conclusions. Your judgment about when results are trustworthy matters greatly.
For example: “Your logistic regression converges but shows extremely large unstable coefficients with minimal variable variation in one group. What does this suggest and how would you investigate?”
6.Complex data analysis scenarios
Real research often involves competing methodological choices, missing data, and specification concerns. Your ability to navigate ambiguity while explaining reasoning demonstrates expertise.
For example: “Analyzing longitudinal health data with 20 percent attrition and test-score distributions that differ between baseline and follow-up. What potential issues would this suggest?”
A task you may get
Load a panel dataset with 10 time periods and 500 individuals. Perform fixed-effects regression, capture a screenshot showing model output, then explain what the coefficients mean.
How to prepare
- Review your recent Stata analyses and practice articulating why you chose specific procedures
- Test your computer display at highest resolution and verify screenshot resolution meets 2.5 megapixel requirement
- Review statistical concepts underlying panel data, survey methods, and econometric diagnostics
- Prepare concrete examples of analyses you performed and issues you encountered
The facts
- Pay
- $45–55/hr
- Hours
- Hourly, 40 hours a week
- Where
- Remote
- Field
- Data Analysis
- Posted
- 9/13/2026
- Places left
- 10
We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.