Data Analyst

Job Responsibilities / Typical Day in the Role Big Data Analytics & Modeling

• Lead the querying, mining, and analysis of large datasets-including Smart TV, media exposure, cost, and viewership data-to support marketing performance and attribution measurement.
• Manage analytics roadmap for cross-platform viewership across linear TV and HBO Max and Discovery+ Streaming platforms.
• Guide the application of statistical modeling techniques for audience segmentation, attribution, media mix modeling, and marketing optimization.
• Ensure analytical outputs are accurate, reproducible, and aligned with business needs.
• Support the translation of analytical projects into scalable, automated data products and repeatable workflows.
• Leverage AI tools and platforms to engineer prompts, develop custom agents, and drive workflow automation across team operations

Data Infrastructure & Engineering Collaboration

• Partner with data engineering teams to access, combine, and validate structured and unstructured data sources.
• Contribute to the development and maintenance of data models, pipelines, and analytical frameworks.
• Create data dictionaries for raw data inputs and define how business logic should be applied for reporting, modeling and attribution outputs.
• Ensure data lifecycle governance best practices are followed across collection, access, and storage and support business objectives and goals.
• Oversee data quality, version control, and documentation standards for the analytics team.
• Leverage AI tools to automate data processing, enhance analytical workflows, and identify opportunities for improved efficiency and insight generation.

Cross Functional Coordination

• Translate business questions into clear analytical requirements for the team.
• Coordinate with marketing, research, and subscriber acquisition teams to ensure analytical tools support business operational needs and KPIs.
• Support ad hoc analytical projects and evolving business priorities.
• Manage data privacy and legal requirements for marketing use cases.

Must Have Skills / Requirements

1) SQL experience

a. 3+ years; Data Query building expertise, partnering with engineers in previous roles.

2) Data prep for Data Analytics

a. 3+ years; Working with Big Datasets for end-use for data visualization or analysis.

3) Experience working with ETL Data Workflows

a. 3+ years; Extract, transform, and load disparate data sets from various platforms (internal and external data sources).