Audience Data Analyst, Opinion

Posted 3 Hours Ago
New York, NY, USA
Hybrid
80K-100K Annually
Mid level
Digital Media • Fintech • Information Technology
The Role
Analyzes audience reach, engagement, loyalty, and subscription data for the WSJ Opinion section. Extracts and validates data from Snowflake using SQL, maintains Tableau dashboards, prepares recurring performance reports, performs quality assurance, and translates audience behavior into insights for editorial leadership. The role also uses digital analytics platforms and contributes to GitHub-based code updates and documentation.
Summary Generated by Built In

Job Description:


About the Team:

The Wall Street Journal is a global news organization that provides leading news, information, commentary and analysis. The Wall Street Journal engages readers across print, digital, mobile, social, podcast and video. Building on its heritage as the preeminent source of global business and financial news, the Journal includes coverage of U.S. & world news, politics, arts, culture, lifestyle, sports, and health. It holds 38 Pulitzer Prizes for outstanding journalism. The Wall Street Journal is published by Dow Jones, a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

 

The WSJ Opinion section has long served as a forum for intelligent, values-driven commentary, dedicated to advocating a consistent philosophy that can be summed up as ‘free markets, free people.’ While we aim to persuade, every word we publish is the product of rigorous reporting, research and debate. WSJ Opinion offers sharp, original analysis and strong points of view on the news of the day. This position supports the Opinion section’s audience data and insights work.

 

About the Role:

The Wall Street Journal’s Opinion section is seeking an Audience Data Analyst based in New York to support our audience reporting and editorial performance tracking.

Reporting directly to the Manager of Audience Data Analysis and Insights, you will be responsible for tracking audience trends, updating reporting dashboards, and translating audience behavior into clear takeaways for editorial leadership. You will assist in compiling recurring reports and ad-hoc analyses covering Opinion, Free Expression, Books and Arts in Review across web, mobile apps, newsletters, video, and podcasts. This is a hybrid role based in New York, with an expectation of working in the office three days per week.


You Will:

  • 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 the Manager of Audience Data Analysis and Insights in compiling the recurring weekly analytics report and monthly performance summaries, with the expectation of taking ownership of these reporting processes.
  • Monitor audience interaction, visitor loyalty, and how effectively content converts visitors into subscribers across articles, newsletters, video series, and podcasts.
  • Utilize Adobe Analytics, Parse.ly, and native analytics tools from platforms such as YouTube Studio, TikTok Studio, and Meta Business Suite to pull performance data
  • Assist with data quality assurance, reviewing query outputs and validating metrics between reporting dashboards and warehouse data sources.
  • Contribute to code updates and documentation following team version control practices in GitHub.

You Have:

  • 1–4 years of professional experience in data analytics, digital analytics, or business intelligence, preferably in a media, publishing, or subscription environment.
  • Proficiency in 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.
  • Experience working with audience, subscription, or editorial performance data preferred.
  • Experience using AI-assisted productivity tools such as Claude or Glean preferred.
  • Familiarity with Python or dbt preferred.
  • Strong attention to detail, with a focus on data accuracy and proactive communication regarding task progress.
  • An interest in news and opinion journalism, and an appreciation for the Opinion section's editorial standards and philosophy.

Our Benefits

  • Comprehensive Healthcare Plans
  • Paid Time Off
  • Retirement Plans
  • Comprehensive Medical, Dental and Vision Insurance Plans
  • Education Benefits
  • Paid Maternity and Paternity Leave
  • Family Care Benefits
  • Commuter Transit Program
  • Subscription Discounts
  • Employee Referral Program

Learn more about all our US benefits


#LI-Hybrid


Equal Opportunity Employer


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets

Reasonable Accommodation


We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.


Business Area:


Dow Jones - Editorial

Job Category:


Data Analytics/Warehousing & Business Intelligence

Union Status:


Union role
Base Pay Range: $80,000 - $100,000

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.


For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.


For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.


Skills Required

  • 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
  • Experience with audience, subscription, or editorial performance data
  • Experience using AI-assisted productivity tools such as Claude or Glean
  • Familiarity with Python or dbt
  • Strong attention to detail and focus on data accuracy
  • Proactive communication regarding task progress
  • Interest in news and opinion journalism and appreciation for the Opinion section's editorial standards and philosophy
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The Company
HQ: New York, NY
4,898 Employees
Year Founded: 1882

What We Do

When you join Dow Jones, you become part of the most dynamic, creative and savvy news and information companies in the world. As a global leader in news and business intelligence, we're newswires, websites, newspapers, apps, newsletters, databases, magazines, and video --including some of the widest-read and most-respected brands, like The Wall Street Journal, Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Our products inform the discussions and decisions that are vital to the world's commerce, while our databases make the business world more transparent. We continually develop technology to transform information into insight and prosperity. We enlighten and inspire audiences around the globe with authoritative, differentiated and trusted content.

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