Job description
GG10.2
Role Value PropositionData Quality Analyst plays a critical role in data and analytics life cycle and significantly contributes to ensuring data quality of production grade data and analytics solutions. The role requires one to demonstrate expertise in data profiling, validation, data pipeline monitoring and quality reporting.It is an individual contributor role, expected to independently function
Experience5-8+ years of relevant experience
Education?Bachelors degree in computer science,Data analytics, information technology or equivalent educational qualification
Responsibilities• Build and maintain validation rules/test cases to ensure quality of data on variety of dimensions: accuracy, completeness, consistency and timeliness
• Perform DQ checks at various lifecycle stages e.g. (unit testing , intergration testing, user acceptance testing)
• Perform profiling to detect anomalies
• Create and maintain data quality artefacts
• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, BSA, Data science, Data Platforms, BI)
Technical Skills• SQL
• Azure Data Services (data factory,synpase)
• Data quality testing tools such as Atacamma(web & Desktop), IDQ, ETL tools like Tosca
• Data profiling, cleansing and anomaly techniques
• Understand Datamart, Data lake and Data Warehouse
• Experience working with large data states in On-Prem and Cloud environments
• Communication skills, analytical skills, structured problem-solving skills
• Partner, Stakeholder engagement experience
Good To have• Exposure to Gen AI technology and tools
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