Role Value Proposition
Data 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
Experience
5-8+ 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 