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This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is remote.
 
Job Description
 
The Sr. Marketing Advanced Analytics role supports marketing analytics by building dependable data pipelines, validating data accuracy, and developing dashboards that help teams understand performance. You’ll work with modern data engineering tools and partner with cross-functional teams to ensure data is trustworthy, well-structured, and easy to consume.
 
Key Responsibilities
  • Build and maintain scalable data pipelines using Databricks and related big-data processing languages
  • Work with Snowflake to load, transform, and manage large datasets
  • Validate data end-to-end through profiling, reconciliation across sources, and anomaly checks
  • Analyze data to uncover trends, patterns, and areas that need improvement
  • Create visual dashboards using Tableau to support transparency and reporting needs
  • Set up automated quality checks and alerts for potential data or pipeline issues
  • Collaborate with analysts, data scientists, and business teams to understand requirements and deliver clean datasets
  • Improve pipeline efficiency, simplify workflows, and reduce operational overhead
  • Document data flows, logic, and lineage in a clear and consistent format
Required Skills
  • Experience building data pipelines with Databricks and common data engineering languages (such as Python, SQL, or similar)
  • Strong SQL capabilities for querying, transforming, and optimizing data
  • Ability to perform detailed data validation, reconciliation, and anomaly detection
  • Knowledge of optimizing large-scale processing jobs and solving performance issues
  • Experience managing data in Snowflake, including loading and update processes
  • Ability to develop dashboards in Tableau and apply visualization best practices
  • Solid understanding of data quality frameworks and validation processes
  • Ability to create clear documentation for pipelines, workflows, and data logic
Preferred Skills
  • Experience with advanced profiling techniques or anomaly detection methods
  • Ability to translate business questions into structured data requirements
  • Familiarity with data lineage and metadata documentation practices
  • Strong communication skills for presenting technical concepts to non-technical audiences
  • Comfortable working independently and managing multiple priorities
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