Business Architect – Growth Referral

Klar

Business Architect at Klar focused on data-driven decision making and experimentation. Collaborating across teams to enhance customer engagement and growth strategies.

Posted 6/29/2026full-timeMexico City • 🇲🇽 MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills with proficiency in SQL and Python for data analysis and modeling, while effectively collaborating across teams to drive data-driven decision making and optimize customer engagement strategies.

Highest-signal resume keywords

SQL ProficiencyPython for Data AnalysisStatistical ModelingProject Management SkillsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonStatistical ModelingData AnalysisKPI ReportingPredictive ModelingExperimentationDashboard CreationAutomationAnalytical Frameworks

Soft Skills

Analytical ThinkingOwnershipProactive MindsetAdaptabilityCommunication

Industry Keywords

Customer EngagementLifecycle MarketingData ScienceBusiness RecommendationsGrowth Strategies

Tech Stack

Tools & technologies

PythonSQLSwitching

About the role

Key responsibilities & impact

Data-driven decision making : Use SQL, Python, and analytical frameworks on a daily basis to generate actionable insights focused on customer engagement, growth, and lifecycle behavior.
Experimentation and optimization : Design, execute, monitor, and interpret experiments across customer segments and communication channels, helping the team identify what works and iterate quickly.
Simple statistical and predictive modeling : Build practical models to estimate customer behavior, support targeting decisions, forecast outcomes, or improve campaign allocation strategies.
Cross-functional collaboration : Work closely with CRM, Product, Credit, Data, and other teams to translate business questions into analyses, experiments, and clear recommendations.
KPI reporting and automation : Create, maintain, and improve dashboards, recurring analyses, and automated reporting processes for key business metrics.
Iterative refinement : Continuously monitor results, identify learnings, and propose next steps based on data, business context, and feedback from stakeholders and peers.

Requirements

What you’ll need

Bachelor’s degree in an engineering discipline or analytical field (e.g., Computational, Mechatronics, Mathematics, Data Science, Actuarial Science, Industrial Engineering, etc.)
Strong proficiency in SQL and hands-on experience with Python for data analysis, automation, and modeling.
Solid analytical thinking: you can structure ambiguous problems, define relevant metrics, and turn data into clear business recommendations.
Interest in experimentation, customer behavior, growth, engagement, lifecycle marketing, or product analytics.
Strong ownership and project management skills: You can own projects end-to-end, manage multiple analyses, follow up on results, and proactively push initiatives forward to drive impact.
Comfortable wearing many hats and switching contexts quickly: from cleaning a dataset to presenting findings to leadership.
Proactive and business-oriented mindset: you enjoy asking why, challenging assumptions, and identifying opportunities through data.
Advanced English level

Benefits

Comp & perks

15 days of paid vacation per year; plus extended maternity and paternity leaves
Vacation premium
30 days of Christmas bonus
Food vouchers
Medical Insurance
Computer device
Wellhub subscription to offer mental and physical health
Sponsored coaching and therapy sessions
A modern centrally located office in Mexico City with free drinks, snacks, and regular social events
International work environment with amazing and highly skilled people
A world class team that helps you evolve your skills in areas you're interested in