Job DescriptionAs an IT Data Analyst specializing in data cleaning, you will play a critical role in ensuring the quality and accuracy of our data. You will be responsible for identifying and correcting errors, inconsistencies, and missing values in our datasets. You will also be responsible for developing and implementing data cleaning processes and procedures.Responsibilities:
Review and analyze data sets to identify errors, inconsistencies, and missing values.
Develop and implement data cleaning processes and procedures.
Leverage data analysis tools and techniques to clean and standardize data.
Document data cleaning methodologies and procedures.
Collaborate with other IT professionals and data stakeholders to ensure data quality.
Stay up-to-date on the latest data cleaning techniques and best practices.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Skills and Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field.
2+ years of experience in data cleaning or a related field.
Strong analytical and problem-solving skills.
Excellent attention to detail.
Proficient in SQL and data analysis tools (e.g., Python, R).
Excellent communication and collaboration skills.
Ability to work independently and as part of a team. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].