Data Quality Analyst

Important Information:

• Experience: More than 5 years
• Job Mode: Full-time
• Work Mode: Hybrid

Responsibilities and Duties:

• Analyze and assess the quality of data used across the organization.
• Identify data quality issues, including missing, incomplete, or inconsistent data.
• Develop and implement data quality standards, metrics, and benchmarks.
• Create and maintain data quality reports and dashboards.
• Collaborate with data owners, data stewards, and IT teams to resolve data quality issues.
• Perform data cleansing and transformation activities to enhance data integrity.
• Monitor data quality trends and proactively address potential issues.
• Develop and enforce data quality policies, procedures, and governance frameworks.
• Conduct root cause analysis of data quality issues and recommend effective solutions.
• Provide training and support to end-users on data quality best practices.

Technical Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
• 2-4 years of experience in a data quality role or a similar position.
• Experience with data quality tools (e.g., Talend, Informatica, Trillium).
• Familiarity with data warehousing and ETL (Extract, Transform, Load) processes.
• Proficiency in SQL and data querying for data validation and analysis.
• Strong analytical and problem-solving skills to identify and resolve data discrepancies.
• Knowledge of data management principles, data governance, and regulatory compliance.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Strong attention to detail and accuracy in data handling.
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

Role-Specific Requirements:

• Ability to interpret and apply data governance policies to maintain data integrity.
• Hands-on experience in implementing data quality frameworks within an organization.
• Understanding of business processes and their impact on data quality.
• Capacity to develop and maintain documentation related to data quality processes.
• Strong stakeholder management skills to drive data quality initiatives across different departments.

Technologies:

• Data Quality Tools: Talend, Informatica, Trillium
• Database Management: SQL, Oracle, PostgreSQL, MySQL
• Data Warehousing & ETL: Snowflake, AWS Redshift, Azure Synapse
• Reporting & Visualization: Tableau, Power BI
• Scripting Languages: Python, R (for data transformation and analysis)

Skillset Competencies:

• Data Quality Assessment and Management
• Data Cleansing and Standardization
• Data Governance and Compliance
• Problem-Solving and Critical Thinking
• Technical Proficiency in Data Management Tools
• Effective Communication and Stakeholder Engagement
• Attention to Detail and Accuracy
• Adaptability and Continuous Learning

About Encora

Encora is a trusted partner for digital engineering and modernization, working with some of the world’s leading enterprises and digital-native companies. With over 9,000 experts in 47+ offices worldwide, Encora offers expertise in areas such as Product Engineering, Cloud Services, Data & Analytics, AI & LLM Engineering, and more. At Encora, hiring is based on skills and qualifications, embracing diversity and inclusion regardless of age, gender, nationality, or background.