We are looking for a data specialist to undertake a data cleaning and harmonization project. This project involves working with 20 datasets from a recurring survey conducted every three years from 1991 to 2017.

We are seeking a skilled data specialist to assist with a data cleaning and harmonization project. This project involves working with 20 datasets from a recurring survey conducted every three years from 1991 to 2017. We've uploaded a sample of the codebook. Datasets will be provided in CSV format.

Primary Goal:
- Harmonizing Variables: Many variables are common across the datasets but are named differently and use varying coding schemes. You will be responsible for standardizing these variables for uniformity and intuitive understanding.
- Labeling and Renaming: Ensure that all variables and dataset labels are named intuitively and clearly, based on the provided codebooks for each year.

Preferred Software:
- Python, Stata, or R will be the preferred softwares for data cleaning.

Data Analysis Level:
- No data analysis will be required after the data cleaning process.

Ideal Skills and Experience:
- Ability to interpret and utilize codebooks effectively to align variable names and coding across different years.
- Proficiency in data cleaning.
- Attention to detail and ability to accurately clean and harmonize datasets.