Data Quality Analyst (The Data Integrity Champion)

Are you passionate about ensuring data accuracy, consistency, and reliability? Do you have a meticulous eye for detail and a talent for identifying data discrepancies?

If you’re ready to take on the challenge of safeguarding data quality, our client has the ideal role for you. We’re looking for a Data Quality Analyst (aka The Data Integrity Champion) to monitor, validate, and improve data across the organization, ensuring that our data assets are trustworthy and ready for strategic use.

As a Data Quality Analyst at our client , you’ll work with data engineers, analysts, and business stakeholders to develop and maintain data quality standards.

Your role will be critical in ensuring that data used for reporting, analytics, and decision-making is accurate, complete, and timely.

Key Responsibilities :

• Establish and Maintain Data Quality Standards :
• Define data quality metrics, standards, and KPIs to assess data health. You’ll implement frameworks to monitor and maintain data accuracy, consistency, completeness, and reliability.
• Perform Data Validation and Cleansing :
• Develop processes to validate and cleanse data from various sources, identifying and correcting errors or inconsistencies.

You’ll work with data engineering teams to automate data validation and improve data integrity.

• Conduct Root Cause Analysis on Data Issues :
• Investigate and resolve data quality issues by performing root cause analysis. You’ll recommend solutions to prevent data errors and work with teams to implement preventive measures.
• Collaborate on Data Governance Initiatives :
• Partner with data governance and compliance teams to establish data policies and standards. You’ll ensure that data quality processes align with regulatory requirements and internal standards.
• Develop and Run Data Quality Reports :
• Create reports that assess data quality across datasets, highlighting trends, anomalies, and areas for improvement. You’ll provide actionable insights to stakeholders to enhance data quality.
• Provide Training and Support on Data Quality Best Practices :
• Educate teams on data quality best practices and promote a culture of data stewardship. You’ll develop training materials and conduct workshops to empower data users.
• Monitor and Optimize Data Quality Tools and Processes :
• Use and optimize data quality tools (e.g., Informatica, Talend, Trifacta) to streamline data quality checks and validations.

You’ll keep up-to-date with new tools and techniques to improve data quality processes.

Requirements

Required Skills :

• Data Quality Expertise : Strong knowledge of data quality principles, methodologies, and metrics. You can define and track KPIs for data health and integrity.
• Analytical Skills and Root Cause Analysis : Proficiency in conducting root cause analysis and implementing solutions to resolve data issues.

You have a proactive approach to identifying and correcting data discrepancies.

• Data Profiling and Validation : Experience with data profiling, validation, and cleansing techniques to ensure data accuracy and consistency.
• Technical Skills : Proficiency in SQL for querying and analyzing data, along with familiarity with data quality tools like Informatica, Talend, or Trifacta.
• Communication and Collaboration : Ability to communicate complex data quality issues in a clear and actionable manner.

You can work effectively with cross-functional teams to implement quality improvements.

Educational Requirements :

• Bachelor’s or Master’s degree in Data Science, Information Management, Computer Science, or a related field. Equivalent experience in data quality management or data analysis may be considered.
• Certifications in data quality or data management (e.g., Certified Information Management Professional, Informatica Data Quality) are advantageous.

Experience Requirements :

• 3+ years of experience in data quality analysis, with a proven track record of improving data quality across various systems.
• Experience with data governance frameworks and compliance standards (e.g., GDPR, CCPA).
• Familiarity with data warehousing and cloud platforms (e.g., AWS, GCP, Azure) is a plus.

Benefits

• Health and Wellness : Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Paid Time Off : Competitive vacation, sick leave, and 20 paid holidays per year.
• Work-Life Balance : Flexible work schedules and telecommuting options.
• Professional Development : Opportunities for training, certification reimbursement, and career advancement programs.
• Wellness Programs : Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life and Disability Insurance : Life insurance and short-term / long-term disability coverage.
• Employee Assistance Program (EAP) : Confidential counseling and support services for personal and professional challenges.
• Tuition Reimbursement : Financial assistance for continuing education and professional development.
• Community Engagement : Opportunities to participate in community service and volunteer activities.
• Recognition Programs : Employee recognition programs to celebrate achievements and milestones.
2 days ago