Analytics Engineer

Reposted 9 Days Ago
Charlotte, NC, USA
In-Office
Senior level
Digital Media • News + Entertainment
The Role
Build Silver and Gold layers in a Lakehouse using Spark and SQL; design Microsoft Fabric semantic models; codify media sales logic into high-performance models for Power BI and AI agents; implement RLS and data lineage; lead data model design, performance optimization, and root-cause analysis.
Summary Generated by Built In

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 You’ll 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 Hearst’s 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 Master’s 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. That’s 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

Hearst's 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

About UsHearst Television (HTV) owns and/or operates 35 television and two radio stations serving 27 media markets across 39 states reaching nearly 25 million U.S. television households. HTV is recognized as one of the industry's premier broadcasting companies and has been honored with numerous awards for distinguished journalism, industry innovation, and community service.
We are an Equal Opportunity Employer. we do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national, origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.

Skills Required

  • 7+ years in business analytics, data modeling, or data engineering (or Master's degree with 5+ years of experience)
  • 5+ years of relational modeling concepts and Microsoft tabular semantic models experience
  • Expert-level SQL skills
  • 5+ years experience with Power BI and DAX
  • 5+ years experience with Spark (Spark SQL/PySpark/Scala)
  • Hands-on experience with Microsoft Fabric tools and the Delta Lake format
  • Experience translating business requirements into Star Schema/Dimensional models
  • Familiarity with Git, CI/CD, and modern development workflows
  • Ability to implement Row-Level Security (RLS) and maintain data lineage (data governance & security)
  • Proven ability to collaborate with stakeholders and escalate data requirements effectively
  • Familiarity with governance, security best practices, and performance tuning in cloud environments
  • Experience in the media or broadcasting industry
  • Knowledge of serverless architectures and containerized deployment

Hearst Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hearst and has not been reviewed or approved by Hearst.

  • Healthcare Strength Healthcare coverage is described as comprehensive, including medical plan choice, full in-network preventive coverage, dental and vision, telemedicine, prescription coverage, and fertility resources. Mental-health resources and other wellbeing services (e.g., therapy sessions, crisis support, virtual physical therapy, and chronic-condition programs) further strengthen the health offering.
  • Retirement Support Retirement support is positioned as meaningful through a 401(k) plan with company matching and Hearst covering plan administration fees. Performance bonuses are also noted as available in some roles, adding an additional rewards component beyond base pay.
  • Leave & Time Off Breadth Time-off benefits include paid holidays, paid sick days, and vacation time with a commonly cited annual range, alongside paid parental leave and family medical leave. A remote work program and flexibility signals are also included as part of the overall rewards experience.

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The Company
HQ: New York, NY
3,010 Employees
Year Founded: 1887

What We Do

Hearst is a leading global, diversified media, information and services company with more than 360 businesses. Its major interests include ownership in cable television networks such as A&E, HISTORY, Lifetime and ESPN; global financial services leader Fitch Group; Hearst Health, a group of medical information and services businesses; transportation assets including CAMP Systems International, a major provider of software-as-a-service solutions for managing maintenance of jets and helicopters; 33 television stations such as WCVB-TV in Boston and KCRA-TV in Sacramento, California, which reach a combined 19 percent of U.S. viewers; newspapers such as the Houston Chronicle, San Francisco Chronicle and Times Union (Albany, New York); more than 300 magazines around the world, including Cosmopolitan, ELLE, Men's Health and Car and Driver, and digital services businesses such as iCrossing and KUBRA; and investments in emerging digital entertainment companies such as Complex Networks.

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