Marketing Analytics Engineer: Data Architecture & Solutions

As an Analytics Engineer: Data Architecture & Solutions, you will drive insights for Warner Bros Discovery’s streaming businesses through the development of reporting solutions, complex data analyses, and data modeling/architecture for the Marketing Analytics team at Warner Bros. Discovery Streaming. You are not only highly skilled at delivering scalable analytics products and frameworks but are also adept at relational data modeling, architecture, warehousing, normalization, wrangling, and transformations using a variety of data tools (ie. SQL, Python, Alteryx, etc.), ETL principles and best practices. You will work closely with cross-functional partners to plan and execute high-visibility projects, while ensuring excellence in data quality and performance, that will be used by the wider Warner Bros. Discovery marketing teams to measure and optimize campaign performance and drive their strategies.

Your Role Accountabilities…

Collaborate with other analytics, data engineering and marketing technology teams to identify innovative solutions, build and execute project plans, and add layers of sophistication to our reporting capabilities.
Design and implement logical data models and transformations to support flexible self-service reporting.
Support cross departmental core metrics and data dependencies with leadership visibility.
Serve as a subject matter expert of marketing data pipelines and semantic layers.
Deliver solutions to democratize data cross-functionally and across our ecosystem.
Design data solutions to ensure data integrity throughout our pipelines, and support QA of our reports against in-platform.
Continually research and improve new methods and enhancements to our data architecture and pipelines.
Rapidly deliver on new concepts through prototyping that can be presented for feedback and iteration.
Advance automation efforts that help the team spend less time validating data, and more time analyzing it.
Champion the creation and support of data modeling and architectural standards and best practices.

Qualifications & Experience…

6+ years relevant work experience in data modeling, data engineering and enterprise information architecture, preferably within a marketing and sales environment, and currently working in a similar role.
Expertise in SQL, data pipeline and workflow management tools (Apache Airflow, Spark), as well as data warehousing (Snowflake, BigQuery, Data Bricks, Delta Lake).
Familiarity with data visualization and analytics tools (Looker, Tableau, Power BI).
Expertise with ETL solutions, including analyzing, compiling, cleansing, interpreting, joining and staging data.
Proficient in data manipulation & data-wrangling technologies (SQL, Python, Alteryx).
Able to facilitate user requirement gathering to inform design, or reverse engineer requirements from existing data sources & applications.
Understanding of digital and advertising technologies, such as Google Marketing Platform, Google Ad Manager, Social Ad Managers, MMPs (Apps Flyer) and Site Analytics tools (Google Analytics).
Understanding of the digital media ecosystem and subscription business model.
Ability to guide projects forward independently and manage multiple deliverables and time constraints simultaneously.
Strong presentation, interpersonal, and communication skills are a must. The ability to communicate effectively with leadership and cross-functional team with the capability of explaining data concepts to users with varying data backgrounds.
Advertising Agency experience a plus or working in media analytics at another entertainment company.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $82,600.00 - $153,400.00 salary per year.

‌