Key Responsibilities

• 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.).

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