Job Description
- Intermediate knowledge of Python for data science and analytics
- AI/BI self service analytics and visualization tools knowledge
- Understanding of database technologies, specifically relational databases, data warehousing, or other database query tools and languages
- Data modeling skills and basic knowledge of analytics engineering processes and tools
- Provide full-stack analytical support to product managers, including OKR measurement and analysis
- Partner closely with the product organization to deliver valuable, relevant, and compelling insights to address opportunities for product improvements
- Ideate and design A/B/n experiments; analyze results with proven statistical methods
- Measure product feature engagement and performance for both web and app
- Leverage, integrate, and refine data from multiple sources including Business Intelligence platforms, query tools, raw logs, third party sources, etc, to deliver actionable insights
- Design and create insights-based dashboards, using AI data visualization tools
- 2-3 years of experience as a data or product analyst
- Strong SQL skills are mandatory
- Hands-on experience with A/B testing, multivariate testing tools and statistics, used to optimize consumer experiences for B2C products
- Ability to work with engineers and product managers on OKRs and tracking implementation of new features and experiments
Location:
New York, NY
Condé Nast is a global media company, home to iconic brands including Vogue, The New Yorker, GQ, Glamour, Allure, AD, Vanity Fair, and Wired, among many others. The company's award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.
The company is headquartered in London and New York and operates in 32 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Russia, Spain, Taiwan, the U.K. and the U.S., with local license partners across the globe.
Come and join the top publishing analytics team in the world. As a Product Analyst, your role is crucial to our mission of delivering an outstanding experience to our loyal and engaged readers and advertisers. The analyst will be working with one of our product groups to deliver actionable insights, dashboards and experiments that help Condé Nast achieve its ambitious product OKRs.
You should be entrepreneurial, highly technical and analytically skilled, able and willing to synthesize relevant information to provide guidance for internal stakeholders, influence and communicate effectively, and be an exceptional team player who is proactive, thorough, skeptical, detail-oriented, and highly organized.
Job Location: New York City
Primary Responsibilities
- Provide full-stack analytical support to product managers, including OKR measurement and analysis
- Partner closely with the product organization to deliver valuable, relevant, and compelling insights to address opportunities for product improvements
- Ideate and design A/B/n experiments; analyze results with proven statistical methods
- Measure product feature engagement and performance for both web and app
- Leverage, integrate, and refine data from multiple sources including Business Intelligence platforms, query tools, raw logs, third party sources, etc, to deliver actionable insights
- Design and create insights-based dashboards, using AI data visualization tools
Desired Skills & Qualifications
- 2-3 years of experience as a data or product analyst
- A focus on innovative insights/deep dives, experimentation, visualization, stakeholder relationships and/or data storytelling
- Critical thinking, problem-solving and analytical investigation skills
- Strong SQL skills are mandatory
- Hands-on experience with A/B testing, multivariate testing tools and statistics, used to optimize consumer experiences for B2C products
- Strong business acumen and product intuition
- Ability to work with engineers and product managers on OKRs and tracking implementation of new features and experiments
- Excellent communication skills, including synthesis, presentation and storytelling
- Preferred: Intermediate knowledge of Python for data science and analytics
- Preferred: AI/BI self service analytics and visualization tools knowledge
- Preferred: Understanding of database technologies, specifically relational databases, data warehousing, or other database query tools and languages
- Preferred: Data modeling skills and basic knowledge of analytics engineering processes and tools
- NYC Range: $82,000-100,000
