Staff Analytics Engineer

Role Overview

The Commerce & Growth Analytics team works across acquisition and retention sciences, partnering with Product, Marketing, Engineering, Finance, and other cross-functional stakeholders to understand how customers discover, subscribe, activate, and retain Warner Bros. Discovery’s streaming products.

What You Will Do

As a Staff Analytics Engineer, you will be responsible for data pipeline, data strategy, and data visualization-related efforts for the Commerce & Growth Analytics team at WBD. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations).

Why It Might Be a Fit

You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments.

Requirements

• Bachelor’s degree, MS, or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
• 9+ years of relevant experience in business intelligence / data engineering
• Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, and ELT/ETL
• Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
• Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
• Experience with big-data technologies (e.g. Spark, Kafka, Hive)
• Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
• Proficiency with Git (or similar version control) and CI/CD best practices
• Experience managing workflows using Agile practices
• Expertise in writing clear, concise documentation and communicating with a high degree of precision
• Ability to solve ambiguous problems independently and to manage multiple projects and time constraints simultaneously
• Care for the quality of the input data and how the processed data is ultimately interpreted and used
• Strong written and verbal communication skills, and strong organizational skills with the ability to act independently and responsibly
• Self-starter, comfortable initiating projects from design to execution with minimal supervision, and able to balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment while consistently meeting deadlines
• Team player and relationship builder

Benefits

• A Great Place to work
• Equal opportunity employer
• Fast track growth opportunities