Junior Accountant executing accounting tasks under supervision at Accenture. Involves supporting monthly closing processes and ensuring accuracy in deliverables.
About the role
- Analyst in Global Marketing Analytics team supporting Paramount Streaming, focusing on marketing data operations and troubleshooting data pipelines. Requires SQL and Python proficiency.
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
- 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 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
Requirements
- BA/BS; 1–2 years of experience in a data analyst, marketing analytics, or data operations role (internship experience considered)
- 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
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
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