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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analysis, data modeling, and statistical techniques to drive product performance and insights. Proficient in creating visuals and dashboards while collaborating effectively with cross-functional teams in a product-focused environment.
Highest-signal resume keywords
Quantitative AnalysisData ModelingSQLPythonStatistical Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative AnalysisData MiningStatistical ModelingData VisualizationDashboard CreationCore Metrics DesignMachine LearningA/B TestingInferential MethodsCausal Methods
Soft Skills
CollaborationProject ManagementAdaptability
Tools & Technologies
AI ToolsBig Data Querying Languages
Industry Keywords
Product PerformanceSocial MediaOnline AdvertisingDigital MediaMobile Technology
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Apply quantitative analysis, data mining, and statistical modeling to deliver actionable data insights
- Drive timely decision-making to improve and optimize product creation, execution, and adoption
- Collaborate with product managers, engineers, product marketers, and designers
- Use AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity
- Identify key product trends and new product opportunities
- Design, implement, and track core product performance metrics
- Create visuals, dashboards, and reports to communicate insights
- Initiate and drive projects to completion with minimal guidance
Requirements
What you’ll need- Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field, or equivalent years of practical work experience
- 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field plus 2+ years of post-graduate professional experience in quantitative analysis and data science; or a Ph.D. in a relevant technical field
- Expertise using data modeling skills to identify key product trends and new product opportunities
- Ability to design, implement, and track core metrics to analyze product performance
- Ability to create visuals, dashboards, and reports
- Ability to collaborate with engineers, product managers, and other cross-functional teams
- Ability to initiate and drive projects to completion with minimal guidance
- Understanding of Snapchat with strong product sense and product understanding
- Adaptability in learning and applying evolving AI systems and tools
- 3+ years of experience using SQL or similar big data querying languages
- 3+ years of experience with a programming language such as Python or R
- 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling
- Experience in a product-focused role at a social media, online advertising, digital media, and/or mobile technology company
- Experience using machine learning and statistical analysis for data-driven product solutions or methodological research
Benefits
Comp & perks- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages that let employees share in Snap’s long-term success
- Equity in the form of RSUs