Performance Analyst

condenast; New York (NY); On-site; USD 73,000 - 85,000; Full time

Benefits offered by this job

Bonus potential

Job summary

Condé Nast in New York seeks a Performance Analyst to support the Global Performance & Measurement team, with a strong focus on paid social initiatives. You will build dashboards, analyze campaign data, and translate results into actionable insights for internal stakeholders and partner ecosystems.

Collaborating across brands and platforms, you will inform optimization strategies, contribute to reporting frameworks, and help define measurement methodologies and data quality standards to drive

Qualifications

• 2–5+ years of experience in data analytics, paid media, or equivalent consulting experience.
• Strong expertise in paid social with conversion-based KPIs (ROAS, sales lift, conversion, attribution).
• Experience building dashboards and automated reporting using BI tools (Looker Studio, Tableau, Power BI).
• Advanced Excel/Google Sheets skills for data analysis and QA.

Responsibilities

• Analyze performance across paid social campaigns for multiple brands and partners.
• Build, maintain, and optimize dashboards and reporting frameworks for paid media data.
• Deliver performance analysis and insights across platforms and partner ecosystems.
• Translate data into clear narratives and recommendations for internal teams and client materials.

Skills

Data analytics

Paid social

BI dashboards

Excel/Sheets

Communication skills

Deadline-driven

Tools

Looker Studio

Tableau

Power BI

Omni

SQL

Python

Job description

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location: New York, NY

Performance Analyst, Global Performance & Measurement

January 2025

Overall Description

We are seeking an experienced Performance Analyst to support the Global Performance & Measurement team, with a strong focus on Paid Social initiatives. This role is ideal for a highly analytical, self-directed individual who excels at building performance dashboards, analyzing advertising data, and translating results into actionable insights across media and affiliate partner ecosystems.

In this role, you will analyze campaign performance across Condé Nast’s paid social marketing programs, working closely with internal stakeholders and external partners to ensure accurate reporting, meaningful insights, and clear performance storytelling. Your work will directly inform optimization strategies, partner reporting, and future revenue opportunities.

Key Responsibilities

• Analyze performance across paid social campaigns, spanning multiple brands, partners and platforms.
• Build, maintain, and optimize dashboards and reporting frameworks that consolidate paid media performance data.
• Deliver performance analysis and insights across platforms, like social media ad management systems
• Develop a strong understanding of stakeholder objectives, KPIs, and partner nuances to provide tailored, actionable insights.
• Translate complex data into clear narratives and recommendations for internal teams and potential client-facing materials.
• Support campaign wrap-ups, delivery reports, and recurring performance reporting tied to ads and brand partnerships.
• Produce benchmarks, trend analyses, and insights to support repeat revenue and future planning across paid media initiatives.
• Identify and proactively address data discrepancies, gaps, or reporting challenges across platforms and partners.
• Provide guidance on performance measurement best practices, measurement methodologies, and data quality for paid social marketing programs.

Required Skills & Qualifications

• 2–5+ years of experience in data analytics, paid media, or equivalent consulting experience.
• Strong expertise in paid social, with working knowledge of conversion-based KPIs (ROAS, sales lift, conversion, attribution, etc.).
• Demonstrated experience building dashboards and automated reporting using BI tools such as Omni, Looker Studio, Tableau, Power BI, or similar. Omni experience is preferred.
• Advanced Excel / Google Sheets skills for data analysis, QA, and more.
• Experience working with multiple data sources, including ad platforms, on-site and internal reporting tools.
• Ability to work independently in a fast-paced, deadline-driven environment while managing multiple workstreams.
• Strong communication and presentation skills, with the ability to explain performance insights to both technical and non-technical stakeholders.
• Detail-oriented, organized, and proactive problem-solver.

Preferred Skills

• Experience with retail/affiliate marketing a plus
• Experience with Omni Analytics, especially with modeling
• SQL or Python experience preferred
• Analytics engineering with dbt or similar experience
• AI engineering through context and prompt development a plus

Engagement Details

• Opportunity to work across high-impact paid media, retail media, and commerce initiatives for a premium media portfolio

The expected base salary range for this position is from $73,000-$85,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.

In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.