Product Data Analyst: Insights & Dashboards for Growth

Hearst; United States; On-site; USD 60,000 - 85,000; 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 to meet your and你的

Job summary

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will build and maintain dashboards, collaborate with product, content, and revenue teams, and translate data into actionable insights to inform decision-making.

You will perform ad hoc analyses, validate data quality, and support experimentation through data preparation and result interpretation. A detail-oriented, curious mindset is essential in our dynamic media environment.

Qualifications

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

Responsibilities

• Create, maintain and enhance dashboards and reports for stakeholders.
• Collaborate with product, engineering, and revenue teams to support analytics and reporting needs.
• Conduct exploratory analyses to identify trends and summarize findings for stakeholders.
• Validate data accuracy and support data quality checks.

Skills

Power BI

GA4

SQL

Product Analytics

Data Handling

Analytical Thinking

Communication

Education

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

Tools

Adobe Analytics

Job description

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will build and maintain dashboards, collaborate with product, content, and revenue teams, and translate data into actionable insights to inform decision-making.

You will perform ad hoc analyses, validate data quality, and support experimentation through data preparation and result interpretation. A detail-oriented, curious mindset is essential in our dynamic media environment.