Analytics Engineer

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

Hearst Television (HTV) is hiring an Analytics Engineer. The ideal candidate will act as the vital bridge between raw data and executive insights. You will take Bronze data and transform it into high-value Silver (Cleansed) and Gold (Aggregated) layers. Your primary goal is to codify complex media sales logic such as Revenue Pacing Share of Wallet and Yield into high-performance Semantic Models that power our Power BI dashboards and AI Data Agents. This role ensures our data is not just accessible but actionable and intelligent.

What Youll Do

Medallion Transformation: Use Spark and SQL to architect the Silver and Gold layers of our Lakehouse ensuring all data is rigorously tested clean and documented.

Semantic Modeling: Design and maintain the Microsoft Fabric Semantic Model (Direct Lake mode) to provide a Single Source of Truth across the entire organization.

Business Logic Codification: Partner closely with Sales and Finance stakeholders to translate What and Why business questions into precise technical data definitions.

AI Data Readiness: Structure data specifically for LLM consumption enabling our AI Data Agents to accurately navigate complex hierarchies of stations advertisers and categories.

Data Governance & Security: Implement Row-Level Security (RLS) and maintain data lineage to ensure compliance with Hearsts unified data strategy.

Technical Leadership: Lead the design of project-specific data models prepare design specifications and conduct feature estimations in collaboration with cross-functional teams.

Optimization & RCA: Perform root cause analysis on anomalies and implement solutions to minimize points of failure and optimize data pipeline performance.

Requirements

Experience: 7 years in business analytics data modeling or data engineering (or a Masters degree with 5 years of experience).

Modeling Expertise: 5 years of deep experience with relational modeling concepts and Microsoft tabular semantic models.

Technical Proficiency: Expert-level SQL skills and 5 years of experience with Power BI DAX and Spark (Spark SQL/PySpark/Scala).

Platform Knowledge: Strong hands-on experience with Microsoft Fabric tools and the Delta Lake format.

Logic & Design: Demonstrated experience translating complex business requirements into technical requirements using Star Schema/Dimensional modeling.

DevOps: Familiarity with Git CI/CD and modern development workflows.

Communication: Proven ability to collaborate with stakeholders and escalate data requirements or constraints effectively.

Preferred Qualifications

Familiarity with governance security best practices and performance tuning in a cloud environment.

Experience in the media or broadcasting industry is a plus.

Knowledge of serverless architectures and containerized deployment.

Values in Action

At Hearst Television we tell stories every day. Stories about people of all backgrounds perspectives and identities. Thats why behind the scenes we believe in being an organization that fosters collaboration and open communication ensuring that the content we create is authentic accurate and connected to the communities we serve.

Benefits

Hearsts benefit programs are modern flexible and designed to focus on you. As a Hearst employee you and your spouse or partner or dependents would have access to the following benefits:

Medical Dental Vision

401(k) matching

Emotional Wellness Support

Paid Time Off & Parental Leave

LGBTQ Health Services

Required Experience:

DescriptionHearst Television (HTV) is hiring an Analytics Engineer. The ideal candidate will act as the vital bridge between raw data and executive insights. You will take Bronze data and transform it into high-value Silver (Cleansed) and Gold (Aggregated) layers. Your primary goal is to codify comp...