Analyst, IT​/Tech, Data Analyst

#We Are Paramount  on a mission to unleash the power of content… you in?

We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Overview

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; 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 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

Basic 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 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 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

Additional Qualifications

* Exposure to Google Cloud Platform, particularly Big Query

* Comprehension with 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 with dbt or similar data transformation frameworks

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