Staff Analytics Engineer

Job Description

Roles & Responsibilities

We are seeking a highly motivated Staff Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics. As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.

Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible. This role is critical to driving a data-driven culture and enabling teams to make informed decisions.

Lead the design and development of scalable data pipelines and workflows using Databricks and Apache Spark.

Optimize Spark-based workflows for performance, scalability, and cost efficiency.

Build and maintain reusable data transformations and models using Databricks and Python.

Collaborate with business stakeholders and analysts to define requirements and align data solutions with business needs.

Implement best practices in distributed computing, including performance tuning and cluster management.

Develop and maintain robust documentation and code standards to ensure maintainability and scalability.

Mentor team members in analytics engineering best practices and contribute to building a high-performing team.

Stay ahead of emerging technologies and drive innovation in data engineering practices.

What to Bring:

Bachelors degree in computer science, business analytics or similar discipline.

10+ years of experience in analytics engineering, data engineering, or a related field.

Ability and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.

Expertise in Databricks and Apache Spark, with hands-on experience optimizing Spark workloads.

Advanced proficiency in Python for data transformation and pipeline development.

Expertise with ETL/ELT frameworks and tools such as DBT, Airflow, or similar.

Advanced knowledge of cloud-based platforms like AWS, with a focus on analytics services.

Strong programming skills in Python or similar languages for data processing and automation.

Expertise in ensuring data quality and reliability using monitoring and validation techniques.

Direct to consumer digital business experience is preferred.

Strong interpersonal, communication, and stakeholder management skills.

How We Get Things Done

This last bit is probably the most important Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If youre a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at [Confidential Information].

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