Develop and implement data quality standards, metrics & framework for Enterprise using products & solutions.
Design and execute data profiling and analysis to identify data inconsistencies, anomalies, and missing values.
Conduct root cause analysis to understand the source of data quality issues and recommend solutions.
Implement data cleansing and correction procedures to improve data accuracy and completeness.
Define and implement data quality monitoring dashboards, scorecards, and reports for stakeholders.
Collaborate with IT and business stakeholders to define data quality requirements and address data quality concerns.
Required Qualifications/Skills
Data Quality Consultant with a strong understanding of data quality concepts, and metrics.
Bachelor’s or master’s degree in a relevant field (economics, engineering, IT, information management, etc.) or equivalent in experience.
8 years of experience in consulting or service-oriented environments, and data analysis.
Experience with data analysis tooling (e.g., Excel, Tableau, Power BI, etc.) or data quality tooling (e.g., Collibra DQ, Soda, Great Expectations, Informatica CDQ, etc.).
Knowledge of data landscapes within an organization, understanding of end-to-end data flows (source to consumer), data architecture, and data engineering.
SQL supplemented with at least one other scripting language (e.g., Python, Groovy, R, etc.).