Audience Data Analyst, Opinion

Dow Jones•New York, NY

1d•$80,000 - $100,000•Hybrid

About The Position

The Wall Street Journal’s Opinion section is seeking an Audience Data Analyst based in New York to support audience reporting and editorial performance tracking. Reporting directly to the Manager of Audience Data Analysis and Insights, the analyst will track audience trends, update reporting dashboards, and translate audience behavior into clear takeaways for editorial leadership. The role supports recurring reports and ad-hoc analyses across Opinion, Free Expression, and Books and Arts in Review, covering web, mobile apps, newsletters, video, and podcasts. It is a hybrid role with an expectation of working in the office three days per week.

Requirements

1–4 years of professional experience in data analytics, digital analytics, or business intelligence.
Proficiency writing SQL queries to aggregate, filter, and join multi-table datasets.
Experience developing and updating data visualizations and dashboards in Tableau.
Knowledge of GitHub for basic version control and documentation.
Strong attention to detail, a focus on data accuracy, and proactive communication about task progress.
An interest in news and opinion journalism and appreciation for the Opinion section’s editorial standards and philosophy.

Nice To Haves

Experience in a media, publishing, or subscription environment.
Experience working with audience, subscription, or editorial performance data.
Experience using AI-assisted productivity tools such as Claude or Glean.
Familiarity with Python or dbt.

Responsibilities

Extract, validate, and analyze reach, engagement, and subscription data from Snowflake using SQL to support editorial decision-making.
Help build, update, and maintain dashboards and reporting views in Tableau.
Support and take ownership of recurring weekly analytics reports and monthly performance summaries.
Monitor audience interaction, visitor loyalty, and content conversion of visitors into subscribers across articles, newsletters, video series, and podcasts.
Pull performance data using Adobe Analytics, Parse.ly, and platform-native tools such as YouTube Studio, TikTok Studio, and Meta Business Suite.
Assist with data quality assurance by reviewing query outputs and validating metrics between reporting dashboards and warehouse data sources.
Contribute to code updates and documentation using team version control practices in GitHub.