Analyst, IT/Tech, Data Analyst
Listed on 2026-06-05
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IT/Tech
Data Analyst, Data Science Manager
Burbank, CA, US 91505
New York, NY, US 10036
Full‑Time
• On‑Site
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, with a primary focus on monitoring, maintaining, and troubleshooting data pipelines that ingest and transform performance data from paid media platforms such as Meta, Google, and Tik Tok.
This role is well‑suited for an analytically minded, technically curious individual who is keen to develop hands‑on experience across modern data tools and infrastructure. The ideal candidate is detail‑oriented, forward‑thinking in resolving data issues, and enthusiastic about integrating AI‑assisted tools into their daily workflow to work smarter and transition faster. A comfort with ambiguity, a bias toward action, and a willingness to learn on the job will be key ingredients for success.
Responsibilities- Support the identification, investigation, and resolution of data discrepancies across marketing platform data sources including Meta, Google, Tik Tok, and others.
- Monitor data pipelines for anomalies, failures, and latency issues; escape 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 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 Git Hub 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.
- 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 Git Hub 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 such as code generation, debugging, documentation, and analysis.
- Exposure to or curiosity about workflow orchestration concepts; awareness of tools like Apache Airflow is a plus but not required.
- Exposure to Google Cloud Platform, particularly Big Query.
- Comprehension of paid media platforms (eg Meta Ads Manager, Google Ads, Tik Tok for Business) and their data structures.
- Experience with Tableau or other BI and visualization tools.
- Insight into dbt or similar data transformation frameworks.
- Hands‑on experience using AI coding assistants (Claude, Git Hub Copilot, Cursor) to improve personal development efficiency.
- Experience using project management tools such as Jira or Confluence.
- Ability to communicate technical findings clearly to non‑technical teammates.
- Hiring salary range: $85,600.00 – $ (depending on location and experience).
- Benefits include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition…
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