Senior Data Analyst (20261)

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Requirements:

• Experience in designing and executing data quality checks and ETL processes.
• Experience evaluating opportunities for simplification and automation in reporting.
• Passion for problem solving; specific tools can be trained by the team.
• Experience with Google Cloud and AWS is a plus.
• Knowledge and experience with Python and/or R is a plus.
• Proficient in creating and maintaining SQL scripts.
• Skilled with at least one data visualization tool (i.e., Tableau, PowerBI, Google Data Studio).

Responsibilities:

• Analyze data and consult with subject matter experts to design and develop business rules for data processing.
• Setup and/or maintain dataflows in data wrangling tools like Alteryx or Google Dataprep.
• Create and/or maintain SQL scripts.
• Ensure campaign performance data is accessible and reliable.
• Monitor, troubleshoot, and ensure data quality across marketing data systems.
• Design and execute data quality checks.
• Stay updated on digital media operations.
• Govern taxonomy additions and applications.
• Serve as a knowledge expert for media and site data processes.
• Evaluate opportunities for simplification and automation.
• Influence data-informed decision-making and analytical thinking.
• Promote process documentation culture.
• Provide guidance on data management best practices.
• Collaborate with Data and Analysis teams for data visualization.
• Contribute to large-scale data technology projects.