Marketing Analytics Engineer - Data Architecture

As an Analytics Engineer, 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. 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 transformation, using a variety of data tools (ie. SQL, Python, etc.). You also have a strong command of 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. Your work will be used by the wider Warner Bros. Discovery marketing teams to measure and optimize campaign performance, and to 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.
Continually research and drive 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…

Bachelor's degree or higher, ideally in a quantitative field of study (Mathematics, Statistics, Computer Science, Engineering, Finance, etc.).
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, Databricks).
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 marketing, social, and advertising technologies, such as Google Marketing Platform, Google Ad Manager, Social Ad Managers, MMPs (AppsFlyer), and Site Analytics tools (Google Analytics).
Past experience with CRM platforms (Braze, Salesforce, Hubspot, etc). An understanding of customer and/or subscription data is a plus.
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. Must have the ability to communicate effectively with leadership and cross-functional teams, and to explain data concepts to users with varying backgrounds.
Proven ability to collaborate with key partners and stakeholders to define metrics, identify requirements and solve problems independently.

$72,240.00 - $134,160.00 salary per year.

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