Analyst, Marketing Data Operations

Job title: Analyst, Marketing Data Operations

About the Role Join Paramount Streaming's Global Marketing Analytics team as an Analyst, Marketing Data Operations. You will monitor, maintain, and troubleshoot marketing data pipelines and support data quality for performance data from paid media platforms. This role emphasizes hands-on work across SQL, Python, Airflow, and emerging AI-assisted workflows.

What You'll Do

• Identify, investigate, and resolve 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.
• Assist with orchestration workflows using 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.
• Work within development environments including Visual Studio Code and Cursor to build, test, and iterate on data and automation workflows.
• 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.

What We're Looking For

• 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.
• Comfort working in 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.

Nice to Have

• Exposure to Google Cloud Platform, particularly BigQuery.
• Comprehension with paid media platforms (e.g. Meta Ads Manager, Google Ads, TikTok for Business) and their data structures.
• Experience with Tableau or other BI and visualization tools.
• Insight with dbt or similar data transformation frameworks.
• Hands-on experience using AI coding assistants (Claude, GitHub Copilot, Cursor) to improve personal development efficiency.
• Experience using project management tools such as Jira or Confluence.

Compensation & Benefits

• Salary: $85,600 - $128,400 USD per year.
• Benefits include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO.
• This position is bonus eligible.