Sr. Data Quality Analyst

Remote, USA Full-time
• 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 consistencyRequirements• 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. About the companyWe are a value-driven consulting and engineering partner, helping companies to design and execute their most challenging digital transformations in the Cloud.Moving to the Cloud is merely the foundation of your digital transformation. Once migration is complete, we integrate cutting-edge technologies into all areas of your organisation to redefine the way you do business.Our aim is to take you on a Cloud-centric journey to unlock the value hidden in your data and compete in an increasingly competitive and connected world. We take an evidence-based approach to setting up your transformation, leveraging ProArch’s solution set to accelerate your time to value.
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