Data Quality Specialist
4 days ago
We are seeking a highly skilled and detail-oriented Data Quality Specialist to join our team at Glocomms. As a Data Quality Specialist, you will 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. This function will sit within the Business Development group, responsible for onboarding traders to the client platform.
Principal 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
- 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 Specialist, 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 any of the following is a plus: Appian, Salesforce, Workday, Service Now
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