Data Analytics Lead

HappyRobot

. Define and track product, feature, and agent-level metrics .

Posted 11/2/2026full-timeSan Francisco • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Product Analytics, with a strong focus on experimental design, A/B testing, and statistical analysis. Proficient in SQL and Python, capable of translating complex product questions into actionable insights while effectively communicating findings to diverse stakeholders.

Highest-signal resume keywords

Data Science ExperienceExperimental DesignA/B TestingSQL ProficiencyPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisCausal InferenceHypothesis-Driven AnalysisProduct Metrics DefinitionRoot-Cause AnalysisStatistical ModelingAnalytical FrameworksPerformance MeasurementOperational Efficiency AnalysisAutomation Rate Measurement

Soft Skills

Strong Communication SkillsAttention to DetailCuriosityOwnership MindsetIndependence

Tools & Technologies

Analytics InfrastructureData WarehousesExperimentation PlatformsBusiness Intelligence ToolsDashboards

Industry Keywords

Product AnalyticsMachine LearningNLPConversational Data AnalysisB2B ProductsGenerative AIProbabilistic ML

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and track product, feature, and agent-level metrics
Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features
Measure agent performance effects on task completion, operational efficiency, response quality, and automation rates
Connect offline model evaluations with production performance and customer impact
Analyze conversations, workflows, and product usage to identify opportunities and explain performance differences
Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements
Build statistical models, simulations, and analytical frameworks for product and ML decisions
Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models
Build dashboards and self-serve tools for product and agent performance
Communicate findings and recommendations to technical and non-technical stakeholders

Requirements

What you’ll need

4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role
Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis
Advanced proficiency in SQL and Python
Experience defining and operationalizing product and feature metrics
Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations
Strong product instincts and ability to distinguish statistical significance from meaningful product or customer impact
Experience partnering closely with Product, Engineering, or Machine Learning teams
Strong written and verbal communication skills
High attention to detail and commitment to analytical accuracy
Founder mindset: ownership, independence, curiosity, and willingness to go deep
Nice to have: experience with large language models, AI agents, generative AI, or probabilistic ML products
Nice to have: experience measuring production impact of model, prompt, retrieval, or orchestration changes
Nice to have: familiarity with ML evaluation systems and offline/online metrics
Nice to have: experience analyzing conversational, NLP, speech, or other unstructured data
Nice to have: experience with enterprise or B2B products
Nice to have: experience combining quantitative and qualitative methods
Nice to have: familiarity with analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools
Nice to have: prior experience in a fast-growing startup or highly ambiguous environment

Benefits

Comp & perks

Equity in a high-growth startup
Comprehensive healthcare, dental, and vision coverage
Ownership and autonomy of projects
Encouragement to ship projects
Opportunity to join a world-class team of engineers and builders