Manager, Data Analysis
Mexico City, Paseo de las Palmas No.425-701
Warner Bros. Discovery
Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.Welcome to Warner Bros. Discovery… the stuff dreams are made of.
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
OVERVIEW
The Manager, Content Operations Analytics plays a key role in driving data-driven decision-making across global content operations. This position leads the development of scalable BI solutions, data pipelines, and visualizations that support content readiness, localization, and delivery performance across DTC, linear, and theatrical models. Serving as a subject matter expert in media data systems, the Content Operations Analytics Manager ensures data quality, builds unified reporting layers, and delivers standardized dashboards to support both strategic and operational goals. This role partners closely with content operations, technology teams, and leadership to improve workflow efficiency, increase data availability, and elevate analytics maturity across the organization.
KEY RESPONSIBILITIES
1. Product Application Management & Ownership · Lead the end-to-end lifecycle of analytics platforms that support content operations workflows across streaming, linear, FAST, and theatrical distribution. · Manage BI tool enhancements, integrations, and performance tuning to ensure optimal functionality and alignment with business objectives. · Act as the main liaison with external BI vendors and platform providers, ensuring tools support the complex needs of global content operations and analytics.
2. Analytics Development, Data Extraction & Visualization · Oversee the extraction and transformation of data from various media systems (e.g., MAM/DAM, CMS, scheduling tools, vendor portals) into centralized reporting environments. · Architect and maintain scalable ETL/ELT pipelines to automate data ingestion and integration into cloud data warehouses such as Snowflake, Redshift, or BigQuery. · Harmonize and standardize data across multiple systems (metadata, asset tracking, localization, delivery status, vendor SLAs) to ensure consistent reporting and unified insights. · Design and maintain backend data models, semantic layers, and star schemas to support rapid querying, self-service analytics, and dashboard development. · Build advanced dashboards and visualizations in tools like DOMO, Tableau, Power BI, Looker, and MicroStrategy, tailored to content delivery, readiness, and operational KPIs.
· Define and standardize report templates across departments to ensure consistency in format, structure, KPIs, and branding. · Automate generation of recurring reports (daily/weekly/monthly) for internal stakeholders including content ops, distribution, programming, and leadership teams.
3. Data Governance, Standardization & Quality Oversight · Champion data governance by defining and enforcing business rules, metadata standards, naming conventions, and consistent KPI definitions across global operations. · Implement data validation, anomaly detection, and quality monitoring routines to ensure high trust in analytics reporting and dashboard metrics. · Maintain comprehensive documentation for data lineage, metric definitions, and dashboard logic to foster transparency and self-service adoption.
4. Collaboration & Stakeholder Engagement · Collaborate closely with content operations, post-production, licensing, programming, and technology teams to align reporting needs with business goals. · Facilitate requirements-gathering sessions to translate stakeholder needs into technical reporting solutions, templates, and dashboard views. · Develop and deliver clear, data-driven presentations, reports, and visual summaries to communicate progress, risks, and insights to executive stakeholders. · Build and maintain a centralized portfolio of reporting priorities, coordinating closely with regional teams and content ops leaders.
5. Delivery Management · Oversee the implementation of Analytics reports and dashboards from ideation through launch, including planning, stakeholder alignment, and post-deployment support. · Incorporate the transition of new reports into the business-as-usual processes, including training, documentation, and adoption. · Clearly communicate project goals, KPIs, and impact to relevant teams to ensure engagement, and accountability. · Ensure uniform application of data and reporting standards across new product and platform initiatives through cross-functional collaboration. 6. People Leadership & Team Development · Lead and mentor a team of data analysts focused on content operations reporting, dashboard development, and media analytics. · Provide professional development, technical training, and clear career progression paths to support growth and skill enhancement. · Foster a culture of innovation, data literacy, and continuous improvement within Analytics and across partner teams.
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, union status, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Data analysis Data governance Data pipelines Data quality ELT ETL KPIs Looker Pipelines Power BI Redshift Snowflake Streaming Tableau
Perks/benefits: Career development Transparency
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