Seniopr Data Quality Analyst

KEY ACCOUNTABILITIES

• Design, develop, and maintain data quality rules, metrics, and dashboards
• Identify, analyze, and resolve data quality issues and anomalies using data profiling, data cleansing, and data governance practices
• Provide production support for data quality tools, including monitoring jobs, troubleshooting rule execution failures, managing incident tickets, and ensuring timely resolution of operational issues.
• Collaborate with data engineers, business analysts, and business stakeholders to understand data requirements, sources, and flows
• Implement data quality best practices and standards across the data lifecycle
• Monitor and report on data quality performance and trends
• Conduct data quality audits and assessments and provide recommendations for improvement
• Providing guidance and support to business units on data governance and data quality best practices.
• Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
• Promote and operationalize data quality monitoring and rule management together with issue management.
• Provide training to users on tools to promote awareness and adherence.
• Collaborating with data owners and data stewards to ensure data quality practices is implemented and followed.

EXPERIENCE / QUALIFICATIONS

• At least 5-8 years of hands-on experience with a Data Quality tool /Informatica, Databricks, Microsoft Power BI
• Strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL
• Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders.
• Curious, analytical, and able to think critically to solve problems
• Detail-oriented and comfortable dealing with complex structured and unstructured datasets
• Clear and effective communication skills, with an ability to communicate complex ideas and manage stakeholder expectations
• Strong organizational and prioritization skills, adaptable and able to work independently as required

KEY ACCOUNTABILITIES

• Design, develop, and maintain data quality rules, metrics, and dashboards
• Identify, analyze, and resolve data quality issues and anomalies using data profiling, data cleansing, and data governance practices
• Provide production support for data quality tools, including monitoring jobs, troubleshooting rule execution failures, managing incident tickets, and ensuring timely resolution of operational issues.
• Collaborate with data engineers, business analysts, and business stakeholders to understand data requirements, sources, and flows
• Implement data quality best practices and standards across the data lifecycle
• Monitor and report on data quality performance and trends
• Conduct data quality audits and assessments and provide recommendations for improvement
• Providing guidance and support to business units on data governance and data quality best practices.
• Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
• Promote and operationalize data quality monitoring and rule management together with issue management.
• Provide training to users on tools to promote awareness and adherence.
• Collaborating with data owners and data stewards to ensure data quality practices is implemented and followed.

EXPERIENCE / QUALIFICATIONS

• At least 5-8 years of hands-on experience with a Data Quality tool /Informatica, Databricks, Microsoft Power BI
• Strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL
• Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders.
• Curious, analytical, and able to think critically to solve problems
• Detail-oriented and comfortable dealing with complex structured and unstructured datasets
• Clear and effective communication skills, with an ability to communicate complex ideas and manage stakeholder expectations
• Strong organizational and prioritization skills, adaptable and able to work independently as required