Fox Entertainment
Website:
fox.com
Job details:
Fox Corporation:
Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise, and strategic thinking.
JOB DESCRIPTION
The FOX Data Platform Team is looking for a Senior Business Intelligence Engineer who bridges the gap between scalable data architecture, advanced analytics, and actionable business intelligence.
In this role, you will play a pivotal part in democratizing data across FOX. You will work across the full analytics lifecycle—from understanding data pipelines and modeling data in the warehouse, to building self-service data applications and governance frameworks in modern platforms like Databricks AI/BI, Tableau Cloud etc. If you excel at turning complex data into trusted business insights, leveraging modern platforms (Databricks, Snowflake etc) , and collaborating closely with both engineering and business stakeholders, this role is for you.
ABOUT YOU
- Strong curiosity about our business: You ask the right questions, dig into the nuances of business metrics, and build a deep understanding of the FOX media landscape.
- Bridge builder & translator: You can speak fluent "business" and fluent "code," seamlessly translating complex business questions into robust technical models and intuitive data apps.
- Data advocate: You care deeply about data quality, governance, and user adoption, ensuring non-technical stakeholders trust and easily navigate the data platform.
- Perseverance & problem-solving: You tackle ambiguity head-on, whether troubleshooting a data anomaly, refining a semantic layer, or setting up gated compliance reviews.
- Growth mindset & self-starter: You stay on top of modern analytics tech trends (like agentic AI, modern notebook environments, and self-serve analytics tools) and enjoy mentoring others.
A SNAPSHOT OF YOUR RESPONSIBILITIES
- End-to-End Analytics & Application Delivery: Design, develop, and maintain high-impact data analytics solutions and data applications by bridging SQL/Python logic with stakeholder-facing AI applications.
- Pipeline Literacy & Data Modeling: Understand underlying batch/streaming data pipelines to effectively debug data flows, partner with upstream data engineers, and design dimensional data models (e.g., in Snowflake/Databricks) optimized for downstream reporting.
- Governance & Version Control: Implement best practices for code management, CI/CD, and review workflows using GitHub. Manage workspace governance—including project permissioning, environment segregation (dev/UAT/prod), and audit controls for compliance.
- Data Quality & Semantic Consistency: Establish audit and monitoring controls to ensure metric consistency, data accuracy, and high performance across all BI and analytics assets.
- Cross-Functional Collaboration: Partner directly with business leaders, analysts, and engineering teams to define core metrics, build context/semantic layers, and foster a data-driven culture.
- Technical Documentation & Enablement: Maintain clear documentation (Data Flow Diagrams, Technical Design Specs, Metric Definitions) and empower business teams to leverage self-service analytics safely.
WHAT YOU WILL NEED
- Education: Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a relevant field.
- Work Experience: 4+ years of hands-on experience spanning data engineering, business intelligence, or analytics engineering.
- Modern Analytics Tools: Proven experience building advanced reports, data applications, or interactive notebooks in platforms like Databricks, Snowflake,
- Version Control & CI/CD: Strong proficiency with GitHub or Git-based workflows for code reviews, version history, and collaborative development.
- Data Warehouse & Modeling Skills: Expertise in Advanced SQL, query tuning, and dimensional modeling within cloud environments like Snowflake or Databricks. Experience in cloud infrastructure and integration services (AWS S3, Lambda, API integrations).
- Pipeline Understanding: Deep understanding of how data ingestion and ETL/ELT pipelines function (e.g., Airflow, dbt, Fivetran), with the ability to trace data lineage from source to visualization.
- Python Skills: Intermediate to advanced proficiency in Python (Pandas, PySpark, or similar) for data manipulation, analytics, and automated workflows.
- Soft Skills: Exceptional communication skills with a proven track record of distilling technical complexities into clear insights for executive leadership.
NICE TO HAVE, BUT NOT A DEAL BREAKER
- Experience in semantic layer management.
- Experience designing and building APIs.
Click on Apply to know more.
