Senior Product Analyst at Conde Nast

New York, New York, United States

Conde Nast Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Media, PublishingIndustries

Requirements

  • 5+ years of experience in product analytics, experimentation, or data science roles with proven impact in digital product environments
  • Demonstrated ability to lead analytics initiatives and influence senior stakeholders through data storytelling
  • Advanced SQL skills with experience querying large and complex datasets
  • Experience with Python for data exploration and analysis
  • Strong experience with A/B and multivariate testing tools and methodologies
  • Solid understanding of product development processes and key metrics for digital engagement and growth
  • Strong business acumen, with the ability to translate data into strategic recommendations
  • Excellent communication and presentation skills, with experience working cross-functionally with product, engineering, and design
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Mathematics)
  • Entrepreneurial, highly technical, analytically skilled, able to synthesize information, influence and communicate effectively, exceptional team player, proactive, thorough, skeptical, detail-oriented, and highly organized

Responsibilities

  • Serve as the lead analytics partner for a key product area, owning measurement frameworks, OKRs, and insights end-to-end
  • Partner with senior product and engineering stakeholders to identify opportunities for growth and optimization through data-driven insights
  • Design, execute, and evaluate A/B/n and multivariate experiments focused on improving user retention, session frequency, and long-term engagement
  • Translate product data into compelling stories and actionable recommendations that influence roadmap and strategic decisions
  • Build and maintain scalable dashboards and automated reporting that surface key engagement and loyalty metrics to stakeholders across the organization
  • Integrate and analyze data from diverse sources (BI platforms, data warehouses, raw logs, third-party tools) to provide a unified view of performance
  • Proactively identify and investigate emerging trends, user behaviors, and anomalies that inform strategic initiatives
  • Contribute to defining best practices in product analytics, experimentation, and data quality
  • Mentor junior analysts, providing guidance on technical, analytical, and storytelling skills

Skills

analytics
dashboards
experiments
OKRs
SQL
Python
data visualization
A/B testing
measurement frameworks
stakeholder communication

Conde Nast

About Conde Nast

N/AHeadquarters
N/AYear Founded
N/ACompany Stage
Consulting, Consumer Goods, EntertainmentIndustries

Benefits

Paid Vacation
Hybrid Work Options
401(k) Company Match
Bupa Private Healthcare
Parental Leave
Wellness Program
Performance Bonus

Risks

Decline in print media consumption impacts traditional magazine sales for Conde Nast.
Increased competition from agile digital-native media companies challenges Conde Nast.
Rising ad-blocker usage reduces effectiveness of Conde Nast's online advertising revenue.

Differentiation

Conde Nast leverages AI-driven content personalization to enhance user engagement.
The company focuses on sustainability, appealing to environmentally conscious consumers.
Conde Nast collaborates with influencers to effectively reach younger audiences.

Upsides

Short-form video content is a growing opportunity for Conde Nast's digital strategy.
The podcast industry's growth offers expansion potential for Conde Nast's audio content.
AI-driven personalization enhances user engagement and retention for Conde Nast.

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