Sr. Marketing Advanced Analytics

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. You need to work PST or MST hours. Please submit your resume and send to recruiters@vsearchgroup.com if you are interested. Thank you! Job Description The Sr. Marketing Advanced Analytics role will design, build, and maintain scalable, auditable data pipelines that support reliable marketing reporting, advanced analytics, and business decision-making. This role will work with Databricks, Snowflake, SQL, and Tableau to ensure data is accurate, well-structured, validated, and easy for business and technical teams to consume. Key Responsibilities • Design, build, and maintain scalable data pipelines using Databricks, Spark, Scala, Python, SQL, and related data engineering tools. • Work with Snowflake to load, transform, manage, and optimize large datasets. • Own data validation processes, including source-to-target reconciliation, data profiling, anomaly detection, and audit checks. • Perform data mining and analysis to identify trends, inconsistencies, patterns, and opportunities for marketing and business action. • Develop and maintain Tableau dashboards and visualizations to support reporting, transparency, and decision-making. • Implement automated data quality checks, alerts, and monitoring for pipeline failures, anomalies, and audit flags. • Collaborate with analysts, data scientists, and business stakeholders to gather requirements and deliver reliable data products. • Optimize existing pipelines for performance, scalability, efficiency, and operational simplicity. • Document data lineage, pipeline logic, workflows, requirements, and metadata in a clear and consistent manner. Required Skills • Hands-on experience designing and maintaining scalable data pipelines using Databricks, Spark, Scala, Python, SQL, and Snowflake. • Strong SQL development skills for data extraction, transformation, validation, and performance tuning. • Experience performing source-to-target reconciliation, data auditing, data profiling, and anomaly detection across large datasets. • Proven ability to troubleshoot Spark performance issues and optimize large-scale data processing jobs. • Experience with Snowflake data loading, transformation, update patterns, and data management. • Tableau dashboard development experience, including data visualization best practices, parameters, and performance optimization. • Solid understanding of data validation lifecycles, data quality frameworks, and automated quality checks. • Ability to document pipelines, workflows, business requirements, data lineage, and technical logic clearly. Preferred Skills • Familiarity with advanced data profiling, anomaly detection techniques, and predictive modeling for identifying inconsistencies. • Experience translating business questions and analytical requirements into reliable data products. • Knowledge of metadata management, data lineage documentation, and governance best practices. • Strong communication skills with the ability to explain technical findings to non-technical stakeholders. • Ability to work independently, manage priorities, and deliver high-quality work with minimal oversight.