Data Quality Analysts  

The Data Quality Analysts examine complex data and turn it into information and insight to support business decisions. They also monitor performance and quality control plans to identify any issues or ways to improve systems and database designs.

Key Responsibilities:

• Identify, compare and resolve data quality problems.
• Utilize knowledge of data engineering concepts such as ETL, big data technologies and scripting languages to maintain and/or improve existing processes
• Evaluate large dataset for quality and accuracy.
• Determine business impact level for data quality issues.
• Work with Data Engineers to correct data quality errors.
• Work with business stakeholders to gather requirements, conduct data profiling and track metrics necessary to monitor data quality.
• Determine root cause for data quality errors and make recommendations for long-term solutions.
• Research and determine scope and complexity of issue so as to identify steps to fix issue.
• Develop process improvements to enhance overall data quality.
• Develop and execute data cleanup measures.
• Ensure adherence to data quality standards.
• Resolve all internal data exceptions in timely and accurate manner.
• Identify areas of improvement to achieve data quality.
• Analyze, query and manipulate data according to defined business rules.
• Design, develop and analyze results of data queries necessary to identify data quality issues and presents results in an easy-to-understand format to end users

Hiring Criteria:

• BS Computer Science/Information Technology/Engineering (Computer or Telecommunications) or its equivalent
• Experience in Big Data technologies such as Spark, Talend
• Experience in SQL and PL/SQL scripting
• 3+ years experience as an ETL QA focused on data quality, data validation and running query optimization/performance tuning
• Experience in developing testing plans, implementing test cases, monitoring data anomalies
• Experience with gathering, analyzing and interpreting large datasets
• Experience in query optimization and performance tuning
• Experience in data architecture/modeling a plus
• Working knowledge of data engineering concepts (integrations/ETL, big data technologies, data warehousing etc) a plus
• Excellent interpersonal and communication skills
• Ability to write technical documentation materials
• Ability to learn new applications, processes and procedures quickly and apply them in a fast-paced business environment