Staff Analytics Engineer, Ads

Our Company

As the premier global media and entertainment company, Warner Bros. Discovery offers audiences the world’s most differentiated and complete portfolio of content, brands, and franchises across television, film, sports, news, streaming, and gaming. We're home to the world’s best storytellers, creating world-class products for consumers.

WBD is bringing together the scripted and the unscripted, the local and the global, the timely and the timeless. Taking the world’s greatest possibilities and making them a reality. Creating impact, inspiring imagination, and building connections. Here you can succeed, here you are supported, here you are celebrated. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.

The Job

As a Staff Analytics Engineer you will leverage your strong technical skills to lead data pipeline, data modeling, and data visualization efforts for the Ads Analytics team. You’ll design frameworks and analytical approaches to better understand the nuance around product performance for the Ads Analytics team within WBD. This team is focused on providing actionable Ads insights to our business and product executives across WBD.

You are an engineer who has a deep understanding of real-world advanced analytics and demonstrable experience using big data to influence key decision makers. You (and your skills) will be diverse in nature to cover a wide variety of jobs, ranging from ETL-ing and writing automation scripts to building scalable dashboards and visualizations.

You will work closely with cross-functional partners to ensure that their modeling endpoints and data are properly moved into a semantic layer and production environments, where they can be used by the wider WarnerMedia community to product business strategies. We are looking for a well-rounded engineer who has exceptional business and communication skills.

Responsibilities:

The Daily

Lead the application and development of data models that support flexible querying and data visualization
Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it
Dive deep into available data using SQL, Python, Looker, or other data analysis tools in your vast toolbox
Brainstorm, develop, and backtest key Ad KPIs while ensuring you bring our stakeholders along for the ride
Lead the selection, implementation, optimization, and integration of data tools
Build aggregate datasets using ETL principles that underlay insights and visualizations; have a strong point of view on what data to prioritize
Design and build dashboards to share key metrics with stakeholders
Partner with Data Scientists, Data Engineers and Business Leaders to rapidly experiment and deploy predictive tools and insights for WBD DTC
Be part of a fast growing and dynamic team where no day is the same

Qualifications:

The Essentials

Bachelor's degree, MS or greater in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top tier accredited institution
7+ years of work experience querying, visualizing, and presenting data;
Strong experience with SQL (clean, fast code is a must)
Strong experience with BI tools such as Looker and/or Tableau
Experience working with cloud-computing platforms such as Snowflake, Redshift, Teradata, etc.
Robust experience using Python or other scripting language in data-focused fullstack environments (from data wrangling, to analysis, to visualizations)
Ability to work with multiple and disparate data sets, sources, formats, etc.
Must handle multiple tasks with changing priorities
Must communicate effectively

Nice to Haves

Experience in the digital media and entertainment
Prior experience at a major technology company
Advance degree in Statistics/Mathematics
Experience using Airflow
Experience using Snowflake
Experience using Looker

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