Senior Product Analytics & Data Quality Lead

Hearst Television, Inc.; New York (NY); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Medical | Dental | Vision

401(k) matching

Paid Time Off

Paid Parental Leave

Emotional Wellness Support

LGBTQ+ Health Services

Job summary

Hearst Television is hiring an in-office Senior Product Data Analyst to serve as a technical expert and insights partner for our digital data and analytics team, working closely with product, engineering, content, and revenue to ensure trustworthy reporting.

You will own the foundations of reporting, including data sources, ETL pipeline requirements, and the business-wide data dictionary, while advising product owners on experimentation and delivering insights to executive stakeholders.

Qualifications

• 5–7 years of digital analytics experience.
• Bachelor’s degree in Data Science, Statistics, or related field preferred.
• Strong communication translating questions into actionable insights.
• Ability to balance strategic projects with fast-turnaround requests.
• Experience collaborating with cross-functional teams.

Responsibilities

• Own onboarding and maintenance of data sources and ETL pipelines with engineering.
• Define data dictionary and ensure data quality checks.
• Lead exploratory analyses and present executive insights.
• Build and maintain dashboards and reports with standards and best practices.

Skills

Analytics expertise

SQL & Python

Data governance & quality

BI reporting

Education

Bachelor’s degree in Data Science/Statistics/quantitative field

Tools

Power BI

Looker

GA4/Adobe Analytics

BigQuery

JIRA

Job description

Hearst Television is hiring an in-office Senior Product Data Analyst to serve as a technical expert and insights partner for our digital data and analytics team, working closely with product, engineering, content, and revenue to ensure trustworthy reporting.

You will own the foundations of reporting, including data sources, ETL pipeline requirements, and the business-wide data dictionary, while advising product owners on experimentation and delivering insights to executive stakeholders.