Senior Analytics Engineer

Role overview

Senior Analytics Engineer at Warner Bros. Discovery

Responsibilities

• You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations).
• Design and implement data models that support flexible querying and data visualization.
• Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
• Work proactively with stakeholders to understand the business need and build data analytics capabilities – especially in large enterprise use cases (financial modeling, sales planning, etc.).

Employment details

• Location: Hyderabad [Telangāna] [India]

Additional role details

• As a Sr Analytics Engineer, you will lead data analytics and data visualization-related efforts for the Data & Analytics organization at WBD.
• You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Product Analytics team to drive business insights and strategy.
• Partner with Product stakeholders to understand business questions and build out advanced analytical solutions.
• Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
• Participate in the creation and support of analytics development standards and best practices.
• 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.). 5 - 8 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, Scala or other) dealing with a variety of data structures, algorithms, and serialization formats.
• Experience with big-data technologies (e.g. Spark, Hadoop, Snowflake etc).
• Advanced ability to build reports and dashboards with BI tools (such as Looker, Tableau or PowerBI).
• Experience with analytics tools such as Athena, Redshift, BigQuery or Snowflake.
• Proficiency with Git (or similar version control) and CI/CD best practices.
• Experience in managing workflows using Agile practices.
• 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.
• Prior experience in large enterprise usecases such as Sales Analytics & Financial Analytics including forecasting will be big plus.
• Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented.
• Positive attitude and an open mind.
• Strong organizational skills with the ability to act independently and responsibly.
• Self-starter, comfortable initiating projects from design to execution with minimal supervision.
• Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines.
• Team player and relationship builder.
• Strong written and verbal communication skills.
• Championing Inclusion at WBD.