Education: B.E. Computer Science/IT degree (or any other engineering discipline)Experience: 4+ yearsPosition Requirement:Proficient in SQL ( analytical functions, trending, windowing)- Traditional (for e.g. MSSQL, Oracle, PostgreSQL) or Columnar (like Vertica, Amazon, Redshift)Experience with data QA and ETL / ELT (data pipelines) QA1–2 years of experience in automation for ETL, BI, data modeling, and data-level validation using Python or PySpark framework.Preferred: hands-on experience implementing AI integration in automation solutions.Experience working closely with teams outside of IT (i.e. Business Intelligence, Marketing Adops, Sales)Strong understanding of the Web Analytics, metrics, KPIs, and reportingExperience with automating regression tests, reporting platforms (for e.g. Tableau or Pentaho BI) and ETL tools (for e.g. Pentaho or Talend) will be an added advantageUnderstanding of Ad stack, Email data and data (Ad servers, DSM, DMP etc) is good to haveRole & Responsibilities: Performing statistical tests on large datasets to determine data quality and integrityEvaluating system performance and design, as well as its effect on data qualityCollaborating with database developers to improve data collection and storage processesRunning data queries to identify coding issues and data expectations, as well as cleaning dataCreating and Maintaining automation framework for data comparison between different datasets/ data quality checksUnderstanding AI integration with the Automation frameworkGathering data from primary or secondary data sources to identify and interpret trendsReporting data analysis findings to management to inform business decisions and prioritize information system needsDocumenting processes and maintaining data recordsAdhering to best practices in data analysis and collectionKeeping abreast of developments and trends in data quality analysis
Job Title
Data Quality Analyst