Lead data pipeline, data strategy, and data visualization-related efforts for the Data & Analytics organization at HBO Max.
Manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations).
Work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments.
Design and implement data models that support flexible querying and data visualization.
Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.
Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
Identify and explore new opportunities through creative analytical and engineering methods.

Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
3-5 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, ELT/ETL, and MPP databases
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 – Pandas, NumPy), dealing with a variety of data structures and massaging data to any format, knowledge on working with APIs
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 in working with Jira
Basic understanding of ML/AI/statistics concepts and algorithms
Ability to write clear, concise documentation and to communicate generally with a high degree of precision
Ability to solve ambiguous problems independently
Ability 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
Experience with digital products, streaming services, or subscription products is preferred
Strong written and verbal communication skills.

Analytics Engineer II – Data Analytics

Key skills