Senior Data Quality Analyst

M

Mastercard

Senior Data Quality Analyst

O Fallon, MO
Full Time
Paid
  • Responsibilities

    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).

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