Data Quality Specialist

Job Summary:Client is seeking a highly detail-oriented Data Quality Specialist to join the Information Technology team. This role is responsible for identifying, correcting, and preventing data quality issues across core enterprise systems, with a primary focus on NetSuite, and cross-environment platforms including Snowflake and CouchDB. The individual will work closely with business stakeholders to understand data issues, perform root cause analysis, and partner with the Data Governance team to implement governance standards, controls, and preventative measures to improve data integrity across the organization.Key Responsibilities:ERP experience, Perform hands-on data correction and validation activities primarily within NetSuite and across Snowflake and other database types (CouchDB, Redis, PostgreSQL)Investigate data discrepancies, anomalies, and integrity issues across systemsEngage directly with business users to understand data problems and operational impactsConduct root cause analysis to identify underlying causes of data quality issuesCollaborate with the Data Governance team to implement governance methodologies, standards, and controlsDefine and support data quality rules, validation checks, preventative measures and regulatory requirements (e.g., ensuring data aligns with pharmaceutical standards)Partner with IT, analytics, and integration teams to ensure cross-platform data consistencyDocument data issues, resolutions, and governance recommendationsSupport monitoring and reporting of data quality metricsEnsure compliance with internal data standards, policies, and regulatory requirementsCollect and compile data from various sources, including CSV files, spreadsheets, external databases or APIs, web searches, third-party vendors, and internal user-reported errors or discrepancies.Familiarity with data formats like CSV, JSON, and integration methods (e.g., APIs for external sources)Required Qualifications:Proven, hands-on experience (5-8 Yrs) working extensively in NetSuite, including data correction and validationDemonstrated experience with data governance practices, including data quality controls, standards, and stewardshipStrong skills in data validation tools and techniques, including Excel/Google Sheets, SQL, and basic scripting (e.g., C#, Python or JavaScript for automation).Experience with ETL tools (e.g., Talend, Informatica) or data integration platforms.Mass data migration and correction capabilities like script creation, CSV uploads etc.Strong understanding of data quality management and root cause analysisWorking knowledge of Snowflake and modern data platformsFamiliarity with DBT and data transformation conceptsExperience working across multiple relational and non-relational databasesAbility to communicate effectively with business stakeholdersExceptional attention to detail and accuracyStrong analytical and problem-solving skillsPreferred Qualifications:Experience in data governance, data quality, or master data management initiativesExperience in Pharmacy and Health care data (Preferred), logistics, supply chain, or regulated industry environmentsUnderstanding of data lineage, ownership, and stewardship concepts

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