Data Quality Analyst

2 weeks ago

solapur, India Space Multimedia Full time

Space is an innovative and dynamic company that specializes in leading businesses through transformative journeys in the digital era. They are pioneers in driving innovation and helping organizations transition into digitally mature entities. With a wide range of cutting-edge services, including web enterprise application development, AI & ML development, cloud engineering, data engineering, and business intelligence, Space crafts tailor-made solutions to meet each client's unique challenges. Their integrated approach combines strategic vision with digital expertise, empowering businesses to create new models, modernize legacy systems, and launch market-ready digital products and platforms.


Experience     : 3+ years

Employment type  : Permanent, Full-Time


Key Responsibilities:

  • Develop and implement data quality standards, policies, and procedures to ensure consistency and accuracy across all data assets.
  • Conduct data profiling and analysis to identify data quality issues, anomalies, and discrepancies.
  • Collaborate with data stewards, data engineers, and other stakeholders to remediate data quality issues and improve data integrity.
  • Design and execute data quality tests and assessments to measure and monitor data quality metrics.
  • Develop and maintain data quality dashboards, reports, and documentation to track data quality performance and trends.


Qualifications:

  • Strong understanding of data quality principles, methodologies, and best practices.
  • Experience in writing SQL queries in Snowflake, including Data retrieval, manipulation and optimization.
  • Familiarity with data governance frameworks, data modelling concepts, and data management practices.
  • Ability to suggest and implement robust data validation processes and data quality checks to ensure accuracy and reliability of data.
  • Understanding of Pharmaceutical industry terminology, including knowledge of common terms, processes and regulatory requirements.
  • Excellent analytical and problem-solving skills, with a keen attention to detail.



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