Senior Analytics Engineer

Global Sports Jobs Limited; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Great place to work

Fast-track growth opportunities

Curated benefits and tools

Job summary

Warner Bros. Discovery is seeking a Senior Analytics Engineer to lead data analytics and visualization across the Data & Analytics organization.

You will design semantic layers, build end-to-end data solutions, and work with cross-functional partners to ensure correct business logic in production environments. You will create data models, develop scalable pipelines, and empower the Product Analytics team with robust insights to drive business strategy.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 5–8 years in BI or data engineering.
• Expertise in writing clean, fast SQL and data warehousing concepts (star schemas, SCDs, ELT/ETL, MPP).
• Experience transforming changing data into trustworthy datasets and developing DAGs for batch processing millions of records.
• Proficiency in Python or Scala and handling diverse data structures.
• Experience with big-data technologies (Spark, Hadoop, Snowflake or similar).
• Advanced ability to build reports and dashboards with BI tools (Looker/Tableau/PowerBI).
• Git or CI/CD experience; Agile workflow familiarity.

Responsibilities

• Lead analytics and visualization efforts for the Data & Analytics org.
• Manage end-to-end data solutions: pipelines, tables, and visualisations.
• Collaborate with cross-functional partners to ensure correct business logic in semantic layer and production environments.
• Design data models to support flexible querying and analytics.
• Partner with stakeholders to translate business questions into analytical solutions.
• Advance automation to reduce manual data manipulation and free up analysis time.
• Build reusable frameworks to multiply team productivity.

Skills

SQL

Python/Scala

Data modelling

BI dashboards

Agile/project management

Documentation

Communication

Problem solving

Education

Bachelor's degree in quantitative field

Tools

Spark

Hadoop

Snowflake

ETL/ELT

Job description

About the Role

The Senior Analytics Engineer leads data analytics and data-visualisation efforts for Warner Bros. Discovery's Data & Analytics organisation. The role uses big data to answer complex business questions and designs semantic layers that support self-service analytics. It includes managing projects from requirements gathering through planning to implementation of full-stack data solutions, spanning pipelines, data tables and visualisations. The role holder also works with cross-functional partners to ensure business logic is represented correctly in the semantic layer and production environments so that it can be used by the wider Product Analytics team to drive business insights and strategy.

Key Responsibilities

• Lead data analytics and data-visualisation efforts for the Data & Analytics organisation at Warner Bros. Discovery.
• Manage projects from requirements gathering through planning to implementation of full-stack data solutions, including pipelines, data tables and visualisations.
• Work closely with cross-functional partners to ensure business logic is properly represented in the semantic layer and production environments.
• Design and implement data models that support flexible querying and data visualisation.
• Partner with Product stakeholders to understand business questions and build advanced analytical solutions.
• Advance automation efforts that help the team spend less time manipulating and validating data and more time analysing.
• 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, including identifying, alerting and root-cause analysis.
• Work proactively with stakeholders to build data analytics capabilities for large enterprise use cases such as financial modelling and sales planning, and identify new opportunities through creative analytical and engineering methods.

Required Experience & Qualifications

• Bachelor's degree, MS or greater in a quantitative field such as computer/data science, engineering, mathematics or statistics.
• 5-8 years of relevant experience in business intelligence or data engineering.
• Expertise in writing clean, fast SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL and MPP databases.
• Experience in transforming flawed or changing data into consistent, trustworthy datasets and in developing DAGs to batch-process millions of records.
• Experience with general-purpose programming, such as Python, Scala or other, dealing with a variety of data structures, algorithms and serialisation formats.
• Experience with big-data technologies such as Spark, Hadoop, Snowflake or similar.
• 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.
• Strong written and verbal communication skills.

Preferred Skills

• Prior experience in large enterprise use cases such as sales analytics and financial analytics, including forecasting, is considered a big plus.

Benefits & Perks

• A great place to work.
• Fast-track growth opportunities.
• Thoughtfully curated benefits and tools to explore and grow, in an environment where employees are supported, celebrated and able to thrive.

About the Company

Discovery is a premier global media and entertainment company whose portfolio of content, brands and franchises spans television, film, streaming and gaming, combining WarnerMedia's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.