Data Quality Consultant

About the role

The Data Quality Consultant helps clients understand, measure and improve the fitness of data for operational, analytical and public‑service use. Working with data owners, stewards, architects and engineers, the consultant translates technical findings into practical processes, controls and remediation plans.

Key responsibilities

• Identify critical datasets, attributes and business processes that require data‑quality management.
• Profile data to uncover completeness, validity, consistency, uniqueness, timeliness, accuracy and accessibility issues.
• Define data‑quality rules, thresholds, reference sources and exception conditions together with business stakeholders.
• Develop assessment plans, rule registers, scorecards and monitoring specifications.
• Calculate and validate quality results and communicate implications for operational and analytical use.
• Maintain issue registers and prioritize based on impact, urgency, frequency, sensitivity and complexity.
• Facilitate root‑cause analysis across process, people, system and data‑design factors.
• Create remediation plans with owners, target dates, validation steps and closure evidence.
• Coordinate quality controls with metadata, master data, architecture, engineering, security and analytics teams.
• Define dashboards and reporting routines for ongoing monitoring and escalation.
• Validate remediation outcomes and distinguish corrected records from resolved root causes.
• Train client teams to maintain rules, interpret measures, investigate issues and govern exceptions.

Required profile

• Bachelor’s degree in data science, statistics, computer science, information systems or a related field (or equivalent experience).
• 4–8 years of experience in data quality, data analysis, data governance, testing or data engineering.
• Proven experience profiling data, defining and testing quality rules and thresholds.
• Experience supporting root‑cause analysis, remediation planning and quality monitoring.
• Ability to explain quantitative findings to both business and technical audiences.

Required skills