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Sr. Data Quality Analyst at ProArch IT Solutions Limited
, , India -
Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Quality, Data Analysis, Data Cleaning, Data Validation, Data Reporting, Data Management, Statistical Tools, Database Design, SQL, Python, ETL, Snowflake, Business Objects, Attention to Detail, Data Integrity, Data Models

Industry

IT Services and IT Consulting

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 • 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.

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Responsibilities
The Sr. Data Quality Analyst will provide technical support to team members facing data-related issues and recommend ways to improve data reliability, efficiency, and quality. They will also analyze and validate data for accuracy, consistency, and integrity while developing and implementing data quality standards and processes.