Job Title:

Senior Data Quality Analyst

Overview:

Job Summary :

As the Data Quality Analyst, you will be responsible for leading data quality assessments, driving root cause analysis, and defining data standards across key systems. This role acts as a bridge between technical data teams and business stakeholders, ensuring data meets the needs of internal and external users.


Key Responsibilities:
* Define and implement data quality rules, processes, and KPIs to monitor the health of enterprise data assets.
* Conduct data profiling and analysis to identify inconsistencies, duplicates, and anomalies.
* Collaborate with data stewards, engineers, and business teams to resolve data issues at the source.
* Design and maintain data quality dashboards and reporting mechanisms for tracking progress and impact.
* Lead root cause analysis efforts for recurring data quality problems and recommend process or system improvements.
* Establish and promote best practices and standards in data quality and data governance.
* Support data migration, transformation, and integration projects by ensuring data quality controls are in place.
* Train and mentor junior analysts and team members on tools, methodologies, and data quality frameworks.
* Partner with data governance teams to ensure alignment with company-wide data management policies.


Required Qualifications:
* Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
* 5+ years of experience in data quality, data analysis, or data governance roles.
* Proven expertise in data quality tools (e.g., GEX, Informatica Data Quality, Talend, Ataccama, Trillium, etc.).
* Strong knowledge of SQL and experience with data profiling and validation.
* Familiarity with cloud-based data environments (AWS, Azure, or GCP) and data warehousing concepts.
* Experience working with large, complex datasets and translating business needs into data quality rules.
* Excellent analytical, problem-solving, and communication skills.
* Strong understanding of data governance frameworks and master data management (MDM).