Analytics Consultant 4 - Data Quality

• Hands-on SQL: Write and execute SQL queries to extract, analyze, and validate data from the Teradata environment.
• Data Quality Rule Definition: Define, develop, and implement data quality rules to assess data accuracy, completeness, consistency, and integrity.
• Data Profiling & Analysis: Perform data profiling using SQL to understand data structures, identify patterns, detect anomalies, and assess data quality.
• Data Validation & Issue Identification: Identify data discrepancies, investigate data quality issues, and support root cause analysis and remediation.
• Data Requirements & Documentation: Document data quality rules, profiling results, validation logic, and findings to support consistent data management practices.
• Strong, hands-on SQL experience is essential.
• Must be able to write and execute SQL queries, perform joins, retrieve data, and identify data anomalies.
• Experience with data profiling, defining data quality rules, and creating data quality dashboards is required.
• Candidates must be technically proficient rather than primarily focused on management, coordination, or oversight.
• Experience with Teradata or other relevant data platforms is beneficial.
• Financial crimes or AML experience is not required; the team can provide the necessary business context and documentation.

Data Quality, Consulting, NCR Teradata, Data Quality, SQL (Structured Query Language), Data Analysis, Data Profiling, Data Structures, Root Cause Analysis, Identify Issues