Senior Analytics Engineer, Data Analytics

Role Overview

• Lead data analytics and data visualization-related efforts for the Data & Analytics organization at WBD.
• 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.
• Participate in the creation and support of analytics development standards and best practices.
• 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.)
• Identify and explore new opportunities through creative analytical and engineering methods.

Requirements

• 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 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
• Prior experience in large enterprise usecases such as Sales Analytics & Financial Analytics including forecasting will be big plus.
• Strong written and verbal communication skills.

Tech Stack

• Amazon Redshift
• BigQuery
• ETL
• Hadoop
• Python
• Scala
• Spark
• SQL
• Tableau

Benefits

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