We are committed to delivering innovative solutions that empower teams across the company to catalyze customer growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape
Role Overview
As a Manager-Analytics Engineering at Warner Bros....Discovery, you will play a pivotal role in driving
the data and analytics strategy across various business data domains, including marketing, commerce, finance, customer, and content....In this role, you will understand data relationships across domains, contribute to the design of reusable semantic models, and effectively communicate data findings and insights to non-technical stakeholders through storytelling, presentations, and reports....You will also play a key role in hiring, mentoring, and coaching engineers, helping to build an analytics & engineering team that prioritizes empathy, diversity, and inclusion
Responsibilities:
• Lead and mentor a team of analytics engineers, ensuring productivity, focus, and motivation in a dynamic environment.
• Design, review and develop analytical solutions by integrating data from multiple sources, including databases, APIs, and other sources.
• Build and maintain data pipelines to generate insights and support various business functions.
• Implement data validation and quality checks to ensure data integrity.
• Perform exploratory data analysis (EDA) to understand data distributions and relationships.
• Utilize analytical tools and techniques to uncover correlations, trends, variations, and outliers to gain a comprehensive understanding of the data your team works with.
• Employ data mining techniques to identify patterns or leverage data visualization to tu...Requirements:
• Bachelor's degree in computer science or a similar discipline.
• 10+ years of experience in data engineering, data science and analytics engineering.
• 2+ years of experience in engineering management, leading teams of data and analytics engineers.
• Expertise in analytical tools and frameworks, such as Looker, Tableau, or Power BI.
• Experience in AI-driven data analytics with cloud platforms, preferably AWS and Databricks.
• Proficiency in data modelling using OLAP databases, such as Snowflake and Databricks.
• Strong programming skills in SQL, Python, and Python-based data manipulation and visualization libraries.
• Experience with orchestration frameworks, such as Airflow.
• Familiarity with big data frameworks, such as Spark, and ML libraries, such as scikit-learn.
• Excellent data analytical and communication skills.
• Ability to work in a fast-paced, high-pressure, agile environment.
• Strong