Data Quality Specialist

5 days ago

New York, New York, United States Glocomms Full time
Job Function Summary

We are seeking a highly skilled and detail-oriented Data Quality Consultant to play a crucial role in ensuring the accuracy, completeness, and reliability of our organization's data.

The ideal candidate should have a strong analytical mindset, exceptional attention to detail, and a deep understanding of data quality principles and best practices.

Key Responsibilities
  • Collaborate with clients to understand their data quality requirements, challenges, and goals
  • Conduct thorough analysis of data sets to identify data quality issues, such as missing values, inconsistencies, duplication, and inaccuracies
  • Review data processes and identify new opportunities for process improvement
  • Develop and implement data quality frameworks, policies, and procedures in partnership with the Data Governance Specialist
  • Collect, process, and perform analyses on large datasets in partnership with the Data Orchestrator
  • Provide recommendations for data governance and data management practices to ensure long-term data quality sustainability
  • Support data migration and data integration projects by providing data quality expertise and ensuring data quality requirements are met
  • Assist in the development of projects that identify data quality challenges
  • Perform business analysis and project management in coordination with Business Strategy
  • Work with the Data Governance Specialist, Technology, and Data Science teams to define data quality criteria
Qualifications/Skills Required
  • A bachelor's degree in Data Science, Management Information Systems, Information Technology, Computer Science, Mathematics, Economics, or a related field
  • Proven experience as a Data Quality Consultant, Data Quality Analyst, or a similar role, with a focus on data quality management and improvement
  • Strong knowledge of data quality principles, data governance frameworks, and industry best practices
  • Experience in conducting data quality assessments, data profiling, and root cause analysis
  • Familiarity with data quality tools and technologies, such as data profiling tools, data cleansing software, and data validation solutions
  • Excellent analytical and problem-solving skills, with the ability to understand complex data quality challenges and develop effective solutions
  • Proficient in data analysis and visualization tools, such as SQL, Excel, Tableau, and ChatGPT
  • Project Management skills and the ability to manage multiple client engagements simultaneously
  • Experience with Appian, Salesforce, Workday, or Service Now is a plus

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