Product Data Analyst: Insights, Dashboards & Experimentation

Hearst Television, Inc.; Pacífico; On-site; COP 193,274,000 - 273,805,000; Full time

Benefits offered by this job

Medical | Dental | Vision

401(k) matching

Emotional Wellness Support

Paid Time Off Paid Parental Leave

LGBTQ+ Health Services

Additional benefits

Job summary

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will work with product, content, and digital revenue teams to support reporting, maintain dashboards, and analyze user engagement and monetization performance.

This role requires detail-oriented, analytically curious candidates who can translate data into clear insights to inform decision-making and contribute to a data-informed culture in a dynamic media environment.

Qualifications

• 3–5 years of experience in data analytics, digital analytics, or a related field.
• Bachelor’s degree in Data Science, Statistics, or related quantitative field preferred.
• Adaptability to a fast-paced environment with evolving priorities.
• Attention to detail with data accuracy, validation and quality.

Responsibilities

• Build and maintain dashboards and reports for business stakeholders.
• Ensure outputs are accurate and aligned with metrics and definitions.
• Collaborate with product, engineering and revenue teams to support analytics needs.
• Conduct ad hoc analyses and summarize findings for stakeholders.
• Assist in data quality checks and validation of reporting outputs.
• Support A/B testing by preparing data and analyzing results.

Skills

Data-driven storytelling

Cross-functional collaboration

Analytical thinking

Communication

Education

Bachelor’s degree in Data Science, Statistics, or related field

Tools

Power BI

GA4/Adobe Analytics

SQL

Job description

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will work with product, content, and digital revenue teams to support reporting, maintain dashboards, and analyze user engagement and monetization performance.

This role requires detail-oriented, analytically curious candidates who can translate data into clear insights to inform decision-making and contribute to a data-informed culture in a dynamic media environment.