Condé Nast is looking to deliver an outstanding experience to its loyal and engaged readers and advertisers by leveraging data analytics to inform product decisions and drive business growth.
Requirements
- 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
- 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 (Preferred)
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
Other
- 2-3 years of experience as a data or product analyst
- Critical thinking, problem-solving and analytical investigation skills
- Excellent communication skills, including synthesis, presentation and storytelling
- Ability to work with engineers and product managers on OKRs and tracking implementation of new features and experiments
- Entrepreneurial, highly technical and analytically skilled, able and willing to synthesize relevant information to provide guidance for internal stakeholders
