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Power BI, Big Data Smart Tv Equities Marketing Dashboard Analytics Amazon S3 Claude AI Pipelines Operations Management Automation Governance Databricks Collections Scalability Data Quality Data Science Data Privacy Data Analysis Data Modeling Data Integrity Business Logic Data Pipelines Version Control Data Governance Data Collection Data Processing Data Dictionary Computer Science Looker Analytics Data Engineering Samba (Software) Unstructured Data Applied Statistics Data Visualization Marketing Research Big Data Analytics Prompt Engineering Technical Projects Workflow Management Business Objectives Business Priorities Analytical Thinking Data Infrastructure Workflow Automation Marketing Analytics Lifecycle Management Statistical Modeling Predictive Analytics Programming Languages Audience Segmentation Software Documentation Marketing Intelligence Marketing Optimization Artificial Intelligence R (Programming Language) Authorization (Computing) Self Service Technologies SQL (Programming Language) Snowflake (Data Warehouse) Employee Assistance Programs Extract Transform Load (ETL) Python (Programming Language) Cross-Functional Coordination Key Performance Indicators (KPIs) Tableau (Business Intelligence Software) Marketing Performance Measurement And Management, The Marketing Intelligence team powers Warner Bros. Discovery's marketing analytics functions for all owned, paid and organic media. We help optimize and plan media campaigns for 30+ TV networks (Discovery, HGTV, Food Network, CNN, TNT, TBS, etc.), streaming products (HBOmax, Discovery+), Theatricals and Games.

The business encompasses both off-channel acquisition and on-channel retention marketing efforts, which have seen exponential growth in data collection and management. Join a data-driven team that is building a marketing intelligence discipline incorporating big data sets, automation and visualizations to drive media efficiencies and effectiveness.

The Big Data Analyst will lead the scoping and ongoing validation of data pipelines, analytical models, and self-service dashboards. They will guide analysts in best practices for data querying, modeling, and visualization. This role works closely with data engineering and data science teams to strengthen data infrastructure and analytical capabilities, with a focus on defining data standards and business logic used to join and process data. The Manager will also oversee downstream data outputs and ensure their availability and data integrity within visualization tools.

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., 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., San Francisco Candidates only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

City of Los Angeles Candidates only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring.

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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).

Nice to Have Skills / Preferred Requirements

1. Experience with AI prompt engineering and building agents using platforms such as Claude or GPT is a plus
2. Familiarity with viewership datasets (Nielsen, Inscape, Samba, STB data) is a plus.

Soft Skills:

1. Understanding of data lifecycle management and data governance.
2. Experience applying predictive analytics or foundational data science models.
3. Experience collaborating with data engineering and data science teams.
4. Strong analytical thinking and ability to manage complex technical projects through completion.

Technology Requirements:

1. Proficiency in SQL and data programming languages (Python or R).
2. Experience with big data environments such as AWS (S3, Athena), Snowflake, Databricks, or similar.
3. Experience integrating AI solutions into analytics workflows and data visualization tools.
4. Proficiency with Tableau, Power BI, or Looker, including advanced calculations and data modeling.
5. Experience with GitHub or other source control systems.

Education / Certifications

1. Bachelor's degree in Applied Statistics, Engineering, Computer Science, Marketing Analytics, or related field; or equivalent experience., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Interview Process / Next Steps

1. 1st round interview with Director (HM) and Senior Manager (1-hour; 30-mins with each WBD manager)
2. 2nd round with SVP of Marketing Intelligence

Additional Notes

• Sourcing in US - remote (EST preferred).

Please note that this is a contract role providing services to Warner Bros. Discovery through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Warner Bros. Discovery.

This role is eligible for the following benefits:

Medical, dental & vision

Hospital plans

401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available

Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)

Company paid short and long-term disability

Health & Dependent Care Spending Accounts (HSA & DCFSA)

Employee Assistance Program

Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.