Global Audience Insights Analyst

Advance Magazine Publishers Inc. HQ; World Trade Center (NY); Hybrid; USD 78,000 - 88,000; Full time

Job summary

Condé Nast in New York, NY is seeking an Analyst, Audience Analytics to transform complex data into actionable insights across brands and markets. The role covers global digital site performance reporting and ad hoc analyses, with a focus on accessibility of data for stakeholders, including spreadsheets.

You will use SQL and Python (or willingness to learn), Google Sheets, and tools like Parsely, Databricks, and Mode to deliver clear datasets and cross‑market content insights that move the

Qualifications

• 1-2 years of experience in a quantitative role.
• Curiosity for media tech and quick learner.
• Ability to identify patterns and trends.
• Proactive, self-starter eager for projects.
• Hands-on reporting with Parsely, Databricks or Mode.
• Proficiency in Google Sheets (Excel with Sheets OK).

Responsibilities

• Leverage global digital data to create recurring weekly, monthly, and quarterly reporting on traffic and KPIs.
• Conduct content analysis to guide cross-market content strategy.
• Gather, analyze, and visualize industry data to help stay abreast of competitors.
• Utilize data from social, SEO, email, etc to build an integrated audience view.
• Respond to ad hoc data needs across departments delivering right data for various teams.
• Ensure data quality by sense-checking numbers and coordinating with Data teams.
• QA and improve others' code with fellow analysts.
• Support regular reporting and look for efficiency improvements.
• Additional duties as required.

Skills

SQL-based analytics

Google Sheets

Data analysis

Self-starter

Tools

Parsely

Databricks

Mode

Job description

Condé Nast in New York, NY is seeking an Analyst, Audience Analytics to transform complex data into actionable insights across brands and markets. The role covers global digital site performance reporting and ad hoc analyses, with a focus on accessibility of data for stakeholders, including spreadsheets.

You will use SQL and Python (or willingness to learn), Google Sheets, and tools like Parsely, Databricks, and Mode to deliver clear datasets and cross‑market content insights that move the