Sr Analyst, Streaming Content - CNN Data Analytics, Science & Insights
Warner Bros. DiscoveryAbout the role
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.
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!
We are CNN... THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
Your New Role...
The CNN Digital Research & Analytics team is looking for a Data & Insights Sr Analyst, with a focus on data strategy (how we structure our data), collection (how we implement), and enablement (how we power others) to join our team as we expand our analytics solutions. This role will manage the workflows responsible for accurate data collection, processing, analysis and enablement. This role will be crucial in the execution of our data strategy and will serve as a core resource for enabling our data solutions & usage across the vast audience platforms. The Data & Insights Sr Analyst will work closely with stakeholders across our Data, Analytics, Research, Testing team, as well as Product, Editorial and Revenue teams to support and implement high-quality data measurement capabilities and further support data-driven decisions. The role will ensure data accuracy and consistency in reporting and data deliverables by influencing, designing and optimizing procedures and resources for our analytics users. This person should be ready to deep dive into an exciting & transitioning analytics landscape!
Your Role Accountabilities...
- Serve as a key contact for our data collection strategies and subject matter expert for data usability and enablement for our growing data ecosystem and platforms.
- Perform data validation across platforms and processes, identifying opportunities or gaps throughout the data collection lifecycle, and developing shared documentation for proper utilization to support the overall execution of our data strategy.
- Create and contribute to the data modeling of shared data sources, identifying usage patterns across sources, performing the required manipulations and generating foundational visualizations to foster enablement across teams.
- Support the ongoing develop of our teams Center of Excellence for data processes, standards and best practices around collection, audience measurement and documentation.
- Create and automate data monitors and alerting for data pipelines leveraging solutions like MonteCarlo and DBT Jobs.
- Collaborate with various teams to align data collection strategies and support the migration for product analytics, both traditional solutions and new pipelines to for our centralized data warehouse.
- Partner with implementation and delivery teams to ensure the data is consistently and accurately recorded across delivery platforms, expanding our capabilities for a more holistic view, while maintaining the flexibility for advanced measurement and segmentation of our audience data.
Qualifications & Experience...
- 3+ years experience in research, analytics, data science, or data-related field
- Proficient in SQL
- Hands-on utilization of data management & modeling tools: DBT (preferred), AirFlow, Databricks, etc.
- Experience with data monitoring & alerting solutions: MonteCarlo, Datadog, etc.
- Advanced experience with raw data and data warehouses: Snowflake (preferred), BigQuery, RedShift, Azure, etc.
- Strong data visualization skills and usage: Looker (a plus), Tableau, PowerBI
- Exposure to data pipelin
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