Data Analyst

Anblicks; Dallas (TX); On-site; USD 95,000 - 130,000; Full time

Job summary

Anblicks in Dallas is seeking a data analytics professional to lead querying, mining, and analysis of large datasets across marketing performance and attribution.

You will collaborate with data engineering to define data models, pipelines, and governance, ensuring data quality and scalable analytics capabilities for cross-platform viewership and optimization.

Qualifications

• 3+ years building data queries and partnering with engineers.
• 3+ years working with large datasets for visualization or analysis.
• Experience extracting, transforming, and loading disparate data sources.
• Experience with ETL data workflows.

Responsibilities

• Lead querying, mining, and analysis of large datasets to support marketing performance and attribution.
• Manage analytics roadmap for cross-platform viewership and streaming data.
• Apply statistical modeling for audience segmentation and marketing optimization.
• Ensure outputs are accurate, reproducible, and aligned with business needs.
• Translate analytical projects into scalable data products and repeatable workflows.
• Leverage AI tools to automate data processing and workflow automation.

Skills

SQL

Data prep

Big data

ETL workflows

Data extraction

Job description

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

• SQL experience.
• 3+ years of experience in data query building, partnering with engineers in previous roles.
• Data prep for Data Analytics.
• 3+ years of experience working with big datasets for end-use in data visualization or analysis.
• Experience working with ETL data workflows.
• 3+ years of experience extracting, transforming, and loading disparate data sets from various platforms (internal and external data sources).