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Senior Analytics Contractor, Product Analytics
Maleda Tech. Own and deliver advanced analytics for defined product and business domains .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytics, including A/B testing, statistical analysis, and data-driven decision-making. Proficient in SQL and programming languages such as Python or R, with strong stakeholder communication skills to translate complex data insights into actionable recommendations.
Highest-signal resume keywords
Advanced AnalyticsSQL ExpertiseA/B Testing DesignStatistical AnalysisData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Advanced AnalyticsSQLPythonRStatistical MethodsA/B TestingMetrics DevelopmentData AnalysisData VisualizationAnalytical Judgment
Soft Skills
Stakeholder CommunicationIndependent WorkTime ManagementInsight TranslationAnalytical Rigor
Tools & Technologies
AI-Assisted ToolsDashboardsData QueriesAnalytical Readouts
Industry Keywords
Marketplace AnalyticsProduct AnalyticsBusiness StrategyQuantitative Analysis
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own and deliver advanced analytics for defined product and business domains
- Analyze large, complex datasets using statistical, causal, and exploratory techniques
- Design, execute, and analyze A/B tests and quasi-experiments
- Develop and validate metrics and dimensions for product performance and business outcomes
- Build and maintain queries, dashboards, and analytical readouts
- Partner with Product, Engineering, Finance, Data Science, and Analytics teams
- Align stakeholders on methodology, assumptions, and interpretation
- Communicate concise insights and recommendations in writing and verbally, including leadership-ready readouts
- Use AI-assisted tools to improve efficiency and automate repetitive analytical tasks where appropriate
Requirements
What you’ll need- 5+ years of industry experience in advanced analytics, data science, or applied quantitative analysis
- Strong hands-on expertise in SQL
- Proficiency in at least one programming language: Python or R
- Experience designing and analyzing A/B experiments
- Experience applying statistical methods to real-world product problems
- Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines
- Strong analytical judgment and ability to balance rigor with speed
- Ability to communicate tradeoffs clearly
- Ability to work independently, manage multiple priorities, and deliver against agreed timelines
- Strong stakeholder communication skills
- Ability to translate complex analyses into actionable insights
- Preferred: experience in marketplace, product analytics, or business strategy contexts
- Preferred: familiarity with AI-assisted analytics workflows
- Must be authorized to work in the U.S. without sponsorship
Benefits
Comp & perks- Benefits included with the $110–$128/hour pay rate