This position is ideal for someone who loves big data, enjoys building scalable analytical solutions, and wants to shape the data infrastructure of a modern marketing intelligence organization.
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).
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