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Lead Advanced Analyst, Consumer Product
Maleda TechCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in data analysis, statistical modeling, and experimental design to drive product decisions and performance metrics. Proficient in collaborating across teams to present actionable insights and recommendations to stakeholders.
Highest-signal resume keywords
Data AnalysisStatistical ModelingPython or RSQLA/B Experimentation
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Support a consumer-facing mobile app product team
- Drive strategic business and product decisions through data analysis, experimentation, statistical modeling, and metrics and reporting tools
- Analyze large, complex data sets using varied analytical and statistical approaches
- Apply quantitative analysis, experimentation, data mining, and forecasting to identify trends and patterns
- Collaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, Analytics, Data and Analytical Engineering, Capacity Planning, and other teams
- Design, run, and analyze experiments to measure feature impact and guide product iterations
- Use causal methods when randomized trials are unavailable
- Design and build metrics and dimensions to monitor product and business performance
- Build reporting and analytical tools for data-driven stakeholder decisions
- Present findings and recommendations to stakeholders, including senior leadership
- Stay current on industry trends and quantitative and qualitative analysis techniques
- Use AI tools to automate repetitive tasks and empower stakeholders
Requirements
What you’ll need- 6+ years of industry experience
- Degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research
- Prior experience in an advanced analytics or product data science role
- Strong business acumen and strategic thinking
- Excellent communication skills, including explaining complex concepts in accessible terms
- Proven stakeholder management skills and ability to collaborate and influence across functions
- Experience partnering with product teams on analytics, data science, experimental design, and measurement
- Experience analyzing A/B experiments and performing statistical data analysis
- Experience designing and building metrics, from concept through prototypes with data pipelines
- Strong expertise in Python or R, plus SQL
- Experience with AI-assisted analytics tools such as Claude or ChatGPT
- Agile, growth-minded approach with a track record of taking projects from idea to impact
- Must be authorized to work in the U.S. without sponsorship
Benefits
Comp & perks- Benefits offered with the $110–$128/hour pay rate
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MiningQuantitative AnalysisForecastingMetrics DesignExperimental DesignStatistical Data AnalysisData Pipeline DevelopmentCausal MethodsReporting ToolsAI-Assisted Analytics
Soft Skills
Strategic ThinkingCommunication SkillsStakeholder ManagementCollaborationInfluencing Skills
Tools & Technologies
ClaudeChatGPTAnalytics ToolsMetrics Monitoring ToolsData Reporting Tools
Industry Keywords
Consumer-Facing Mobile AppProduct Data ScienceAgile MethodologyBusiness Performance MonitoringIndustry Trends