Condé Nast is looking to deliver an outstanding experience to its loyal and engaged readers and advertisers by providing actionable insights, dashboards, and experiments to achieve ambitious product OKRs.
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
- Ability to work with engineers and product managers on OKRs and tracking implementation of new features and experiments
- 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
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
- 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.
- A focus on innovative insights/deep dives, experimentation, visualization, stakeholder relationships and/or data storytelling
- Critical thinking, problem-solving and analytical investigation skills
- Strong business acumen and product intuition
- Excellent communication skills, including synthesis, presentation and storytelling
