Jobs · Information Technology · Texas

Data Analyst

Anblicks · Dallas, TX · 3 mo ago
Information TechnologyFull-time

Job Responsibilities / Typical Day in the Role

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

Data Infrastructure & Engineering

  • Collaborating with data engineering teams to access, combine, and validate structured and unstructured data sources.
  • Contributing to the development and maintenance of data models, pipelines, and analytical frameworks.
  • Creating data dictionaries for raw data inputs and defining how business logic should be applied for reporting, modeling, and attribution outputs.
  • Ensuring data lifecycle governance best practices are followed across collection, access, and storage.
  • Supporting business objectives and goals by overseeing data quality, version control, and documentation standards for the analytics team.
  • Leveraging AI tools to automate data processing, enhance analytical workflows, and identify opportunities for improved efficiency and insight generation.

Cross Functional Coordination

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

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