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Title
Text copied to clipboard!Project Data Cleaner
Description
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We are looking for a Project Data Cleaner to join our team and contribute to the accuracy, completeness, and consistency of project-related data. The ideal candidate will have experience in data processing and cleaning, as well as an understanding of project management processes. This role requires attention to detail, analytical thinking, and the ability to collaborate with various teams to ensure data quality.
The Project Data Cleaner will be responsible for identifying, correcting, and documenting errors in project data, consolidating information from multiple sources, and applying data quality standards. They will work closely with project managers, data analysts, and developers to ensure that data is accurate, up-to-date, and ready for analysis or reporting.
Key responsibilities include executing data cleaning procedures, developing and applying validation rules, documenting changes, and supporting the team in understanding the data. The candidate should be familiar with tools such as Excel, SQL, Python, or other data processing tools.
This role is critical to project success, as clean and reliable data is essential for decision-making, progress tracking, and outcome evaluation. If you are passionate about data quality and want to contribute to dynamic projects, we invite you to apply.
Responsibilities
Text copied to clipboard!- Clean and validate project data
- Identify and correct data errors
- Consolidate data from multiple sources
- Document changes and cleaning procedures
- Collaborate with project managers and analysts
- Develop and apply data quality rules
- Maintain data accuracy and completeness
- Support data analysis and reporting
- Use tools like Excel, SQL, Python
- Monitor and improve cleaning processes
Requirements
Text copied to clipboard!- Degree in Computer Science, Statistics, or related field
- Experience in data cleaning and management
- Knowledge of tools like Excel, SQL, Python
- Problem-solving and analytical thinking skills
- Attention to detail and accuracy
- Good communication and teamwork skills
- Understanding of project management processes
- Ability to document and report changes
- Experience with databases and BI systems
- Agile environment experience is a plus
Potential interview questions
Text copied to clipboard!- What is your experience with data cleaning?
- Which tools do you use for data processing?
- How do you handle incomplete or inaccurate data?
- Have you worked with project teams before?
- How do you ensure data quality?
- What is your experience with SQL or Python?
- How do you document data changes?
- Do you have experience in an Agile environment?
- How do you manage large volumes of data?
- What is your approach to data consolidation?
