Analyst

About the role

We are the Global Marketing Analytics team supporting Paramount Streaming. The Analyst, Marketing Data Operations will provide day-to-day operational support for the marketing data ecosystem.

Responsibilities

• Support the identification, investigation, and resolution of data discrepancies across marketing platform data sources including Meta, Google, TikTok, and others.
• Monitor data pipelines for anomalies, failures, and latency issues; escalate and help address incidents in a timely manner.
• Write and maintain SQL-based queries and transformation logic to support consistent marketing data across reporting layers.
• Aid with orchestration workflows using tools such as Apache Airflow, including helping to diagnose DAG failures and flag scheduling issues.
• Develop and maintain Python scripts to support data quality checks, recurring ingestion processes, and operational automation.
• Use GitHub for version control and collaborate with teammates on code reviews and deployment of data logic updates.
• Build, test, and iterate on data and automation workflows within development environments including Visual Studio Code and Cursor.
• Actively incorporate and help develop AI-assisted workflows leveraging tools like Claude to support day-to-day tasks: writing and debugging code, drafting documentation, and accelerating data investigations.
• Support broader AI initiatives and projects across the team as needs evolve.
• Maintain clear documentation of pipelines, data definitions, and troubleshooting processes to support team continuity.
• Partner with marketing analysts and reporting teams to understand data needs and surface issues that may impact downstream reporting.
• Support ad hoc data investigations and analyses as needed.

Qualifications

• 2+ years of experience in a data analyst, marketing analytics, or data operations role.
• Intermediate SQL proficiency — comfortable writing complex queries, joining and transforming datasets, and debugging transformation logic.
• Foundational knowledge of Python for data tasks, automation, or scripting.
• Robust attention to detail and a methodical approach to diagnosing data issues.
• Experience using GitHub or other version control systems for code management and collaboration.
• Experience using modern development environments such as Visual Studio Code or Cursor.
• Experience integrating AI tools, including large language models like Claude, into daily work for tasks like code generation, debugging, documentation, and analysis.
• Exposure to or curiosity about workflow orchestration concepts; awareness with tools like Apache Airflow is a plus but not required.