Refer a freelancer, and you both get 1 free week of DFH Premium. They must use your code {code} at sign-up. More referrals = more free weeks! T&Cs apply.
1 of 5 free roles viewed today. Upgrade to premium for unlimited.

Data Quality Analyst

This role is for a Data Quality Analyst with a contract length of "unknown" and a pay rate of "unknown." Key skills include SAS, SQL, and data quality management. A Bachelor's degree in a related field is required, along with experience in data integration and ETL processes.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
368
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Greater Chicago Area
🧠 - Skills detailed
#Statistics #Data Cleansing #Data Integration #Data Governance #Computer Science #Data Quality #Mathematics #SAS #Snowflake #SQL (Structured Query Language) #Programming #Python #Compliance #Data Profiling #Java #R #"ETL (Extract #Transform #Load)" #Data Management
Role description
You've reached your limit of 5 free role views today. Upgrade to premium for unlimited access.

Overview:

Optomi, in partnership with a leading manufacturing company, is seeking a Data Quality Analyst to join their team! This candidate will be responsible for ensuring the accuracy, integrity, and consistency of data within this organization.

Qualifications:
• SAS and SQL is required for this role with Snowflake being preferred.
• Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• Strong knowledge of data quality management tools.
• Proficiency in SQL for querying and analyzing data.
• Experience with data integration and ETL processes.
• Familiarity with programming languages like Python, R, or Java is a plus.
• Strong ability to analyze data and identify trends, inconsistencies, or errors.
• High attention to detail and accuracy when reviewing data.
• Strong critical thinking and troubleshooting abilities.
• Ability to effectively communicate complex data-related issues to both technical and non-technical stakeholders.

Responsibilities:
• Continuously monitor data quality metrics to ensure compliance with company standards.
• Identify, troubleshoot, and resolve data quality issues.
• Perform data profiling, data cleansing, and data validation to ensure accurate data flow.
• Generate and deliver detailed reports on data quality trends, issues, and improvements.
• Track and report on Key Performance Indicators (KPIs) to ensure data quality standards are met.
• Work with business units to understand data requirements and help develop data quality strategies.
• Act as a liaison between data teams and business users to understand their needs and resolve data issues effectively.
• Analyze data-related issues and propose process improvements to enhance data quality.
• Develop, implement, and refine processes for data governance and data management.
• Develop and execute data quality test plans to ensure that all data processes and systems meet specified quality standards.
• Use data quality tools, such as data profiling and cleansing software, to automate tasks and ensure data consistency.