Description

Duties

  • Collaborate with the Data Architect/Engineering to operationalize and monitor data pipelines using existing tools and frameworks
  • Perform data validation checks to ensure data completeness, consistency, and accuracy
  • Investigate and troubleshoot data anomalies, missing data, and data flow issues
  • Support clean data and metric needs for analytics
  • Build and maintain data quality dashboards or reports for proactive issue detection
  • Document key processes, known data issues, and resolution steps to support team-wide transparency


 

Skills

  • Expertise in working with large data sets using SQL
  • Strong analytical and quantitative problem-solving ability.
  • Ability to spot inconsistencies, run sanity checks, and apply QA best practices familiar with how data flows through modern pipelines and how to monitor for failures
  • Hands-On coding experience with at least one programming language (Python/R)
  • Hands-on experience working with Cloud Platform e.g. Databricks. Ability to build and run data pipelines in Cloud.
  • Experience in developing sophisticated reports/dashboards using Tableau & Power BI.
  • Good attention to detail and ability to stitch and QA multiple data sources.
  • Adobe Analytics or Customer Journey Analytics experience is a plus.

Key Skills
Education

Any Graduate

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