Sr. Advanced Marketing Analytics Analyst in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Advanced Marketing Analytics Analyst based in the United States.

This is an exciting opportunity for a highly analytical professional to contribute to large-scale data and marketing analytics initiatives within a remote, collaborative environment. As a Sr. Advanced Marketing Analytics Analyst, you will design and optimize data pipelines, ensure data integrity across complex systems, and transform large datasets into actionable business insights. The role combines data engineering, analytics, visualization, and quality assurance responsibilities, making it ideal for someone who enjoys solving complex data challenges. You will work closely with analysts, data scientists, and business stakeholders to deliver reliable, scalable data products that support strategic decision-making. Success in this position requires strong technical expertise, attention to detail, and the ability to communicate findings effectively across technical and non-technical audiences.

• Design, develop, and maintain scalable, reliable, and auditable data pipelines using Databricks, Spark, Scala, Python, SQL, and Snowflake.
• Manage the end-to-end data validation lifecycle, including source-to-target reconciliation, data profiling, auditing, and anomaly detection activities.
• Conduct advanced data mining and exploratory analysis to identify trends, inconsistencies, risks, and opportunities for business improvement.
• Develop and maintain Tableau dashboards and visualizations that provide transparency and support data-driven decision-making.
• Implement automated data quality monitoring, validation checks, and alerting mechanisms to identify pipeline failures and data anomalies.
• Collaborate with analysts, data scientists, and business stakeholders to gather requirements and deliver high-quality data solutions.
• Optimize existing data pipelines for scalability, performance, efficiency, and operational reliability.
• Maintain clear documentation of data lineage, metadata, transformation logic, and workflow processes.
• Support ongoing improvements to data governance, reporting accuracy, and analytics infrastructure.

• Proven experience designing, building, and maintaining scalable data pipelines using Databricks, Spark, Scala, Python, SQL, and Snowflake.
• Strong SQL expertise, including data extraction, transformation, optimization, and performance tuning.
• Experience performing source-to-target data reconciliation, auditing, validation, and anomaly detection across large datasets.
• Strong understanding of data quality frameworks, validation methodologies, and data governance principles.
• Hands-on experience troubleshooting and optimizing Spark-based workloads and performance issues.
• Expertise in Snowflake architecture, data loading processes, and update strategies.
• Advanced Tableau dashboard development skills, including performance optimization, parameter configuration, and data visualization best practices.
• Ability to document technical workflows, data lineage, business requirements, and pipeline architectures effectively.
• Strong analytical thinking and problem-solving capabilities with a keen attention to detail.
• Excellent communication skills and the ability to present technical concepts and findings to non-technical stakeholders.
• Ability to work independently, manage multiple priorities, and deliver results with minimal supervision.
• Experience with advanced data profiling, predictive analytics, or anomaly detection techniques is considered a strong advantage.

• Competitive contract compensation of approximately $85 per hour.
• Contract duration through December 2026, with a strong likelihood of extension.
• Fully remote work environment within PST or MST time zones.
• Opportunity to work on large-scale analytics, data engineering, and business intelligence initiatives.
• Exposure to modern data platforms, cloud technologies, and advanced analytics tools.
• Collaborative environment with cross-functional teams, including analytics, data science, and business stakeholders.
• Flexible remote work setup that supports work-life balance.
• Opportunity to contribute to impactful projects that directly influence business strategy and decision-making.
• Professional growth through complex technical challenges and exposure to enterprise-scale data ecosystems.