Senior Data Analyst

toters delivery

. Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps .

Posted 9/23/2026full-timeMetn • LebanonSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data analytics with a strong focus on SQL coding, statistical modeling, and dashboard creation using Tableau. Proven ability to translate complex business problems into actionable insights and product features while mentoring junior analysts.

Highest-signal resume keywords

Data Analytics ExperienceSQL Code OptimizationStatistical Modeling Using Python or RTableau Dashboard DevelopmentUser Behavior Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLStatistical ModelingHypothesis TestingCausal InferenceData AnalysisEvent TrackingCohort AnalysisFunnel ConversionData ValidationData Governance

Soft Skills

CollaborationMentoringLeadership

Tools & Technologies

TableauDbtSnowflakeBigQueryDatabricksMixpanelAmplitudeSegmentAirflowStatsig

Industry Keywords

Product-Led Tech CompanyHyper-Growth StartupMulti-Sided MarketplaceE-CommerceDeliveryRide-Hailing

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps
Design, implement, and analyze rigorous A/B and multivariate tests to evaluate feature launches, pricing mechanics, and UX changes across the apps
Analyze consumer retention, funnel conversion, courier dispatch dynamics, and merchant metrics to unlock business growth and improve unit economics
Define core product KPIs and maintain a single source of truth by building robust data warehouse models and production-grade Tableau dashboards
Enforce strict data validation standards and maintain data governance across clickstream/event tracking
Ensure downstream reporting reliability
Mentor junior analysts, lead code reviews for analytical SQL scripts, and improve analytics best practices across the team

Requirements

What you’ll need

4+ years of data analytics experience, ideally in a product-led tech company, hyper-growth startup, or multi-sided marketplace (e.g., delivery, ride-hailing, e-commerce)
Recognized expert in writing clean, modular, scalable SQL code optimized for complex datasets
Strong understanding of hypothesis testing, causal inference, and statistical modeling using Python or R
Hands-on experience building centralized dashboards in Tableau and working with modern data stack tools (dbt, Snowflake, BigQuery, Databricks)
Demonstrated track record of leveraging user behavior analytics (event tracking, cohort analysis, funnel drop-off) to directly influence product decisions
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or an equivalent quantitative field
Experience working with clickstream tools (Mixpanel, Amplitude, Segment)
Hands-on knowledge of data engineering tools or orchestration frameworks (Airflow, dbt)
Experience in experimentation tools (Statsig)