The work
You will create realistic computer-based tasks that show how people use Python, Pandas, CSV datasets, and Jupyter notebooks for practical data work. Tasks may support business, finance, operations, research, reporting, or other data-analysis use cases.
You will also review each submission to make sure it is complete, clear, realistic, reproducible, and consistent with project guidelines.
- Design tasks involving data loading, cleaning, filtering, grouping, aggregation, merging, reshaping, analysis, and export.
- Demonstrate practical workflows using Pandas DataFrames, Series, and common data-processing steps.
- Run Python scripts or notebooks, manage files, install packages when needed, and record computer workflows.
- Check task submissions for completeness, clarity, realism, reproducibility, and guideline compliance.
What it pays and takes
This is remote contractor work with self-directed delivery within project guidelines. Workload is coordinated through the project team.
- Pay: $20 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in Bangladesh, India, and Pakistan.
- Language: English proficiency at B2 level or higher.
- Experience level: Entry level.
- Required: Hands-on Pandas experience in data cleaning, analysis, transformation, reporting, or data-processing workflows.
- Required: Strong knowledge of DataFrames, Series, indexing, filtering, sorting, grouping, merging, reshaping, missing values, and file input and output.
- Required: Comfort running Python scripts or notebooks, managing files, installing packages when needed, and recording computer workflows.
- Required: Strong attention to detail, self-direction, and reliable delivery.
- Useful background: Python, statistics, finance, operations, reporting, research, or automation.