Senior Data Quality Analyst

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October 22

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ProArch

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Artificial Intelligence • Cybersecurity • Cloud

ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges.

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• Provide technical support to team members facing data-related issues • Recommend ways to improve data reliability, efficiency, and quality • Conduct data cleaning to rid the system of old, unused, or duplicate data • Analyze and validate data for accuracy, consistency, and integrity • Identify, assess, and resolve issues related to data quality • Develop and implement data quality standards and processes • Generate data reports and presentations for management • Collaborate with IT and data management teams to design and implement data strategies and models • Use statistical tools and software to interpret and analyze data • Monitor and update data dictionaries and metadata to ensure data consistency

🎯 Requirements

• Proven work experience as a Data Quality Analyst or Data Analyst. • Technical expertise regarding data models, database design development, data mining and segmentation techniques. • Strong knowledge of an experience with reporting packages (Business Objects), database (SQL), programming (Python, XML, JavaScript, ETL), and Data warehousing platforms tools (Snowflake). • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. • Adept at queries, reporting writing and presentation findings.