Data Quality Analyst

Job Overview:

The Data Quality Analyst will be responsible for ensuring the accuracy, consistency, and reliability of data used across the organization. This role involves analyzing data sets, identifying data quality issues, and collaborating with stakeholders to implement corrective actions. The ideal candidate will have a strong analytical background, attention to detail, and experience working with large data sets and data quality tools.

What We Can Offer

• Competitive Salary
  
• 20 Paid Time Off with 5 convertibles to cash at the end of the year
• HMO (with 2 dependents - co paid)
• Group Life and Accident Insurance
• Other exciting monetary allowances
• Great team, culture, and environment and tons of opportunity for career growth

Work Schedule: Night

Work Type: Hybrid

Position To Fill: One

What You'll Do:

Key Responsibilities:

Data Analysis and Assessment:

• Analyze and assess data quality across various databases and data systems.
• Identify, document, and report data quality issues such as inconsistencies, inaccuracies, and incomplete data.
• Perform root cause analysis on data quality issues and recommend corrective actions.

Data Monitoring and Validation:

• Monitor data quality metrics and develop dashboards to track data quality trends.
• Validate data against established quality standards and business rules.
• Conduct regular data audits to ensure ongoing data integrity.

Collaboration and Communication:

• Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and data flows.
• Communicate data quality findings and recommendations to relevant teams.
• Provide support in data governance initiatives by ensuring data quality standards are met.

Data Cleaning and Preparation:

• Assist in data cleansing and preparation activities, including de-duplication, normalization, and transformation of data.
• Collaborate with data teams to develop and implement data quality improvement plans.

Documentation and Reporting:

• Document data quality processes, methodologies, and findings.
• Create and maintain data quality reports, providing insights to management and other stakeholders.
• Support the development of data quality policies and procedures.

What You Need to Qualify:

• Experience with data visualization tools (e.g., Quicksight Power BI).
• Familiarity with data governance frameworks and practices.
• Knowledge of data warehousing concepts and ETL processes.
• Experience with programming languages such as Python or R for data manipulation.