Analytics Engineer – Credit

Klar

Analytics Engineer at Klar building and optimizing data solutions for credit strategy and risk analysis. Collaborating with cross-functional teams to design and maintain data models and pipelines for decision-making.

Posted 5/17/2026full-timeMexico City • 🇲🇽 MexicoMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftPythonSQL

About the role

Key responsibilities & impact

Build and Optimize Data Pipelines
Develop and maintain scalable data pipelines using dbt, Amazon Redshift, and orchestration tools such as MageAI
Collaborate with cross-functional teams to translate business logic into reliable and efficient data models
Design and Maintain Data Models
Support the design and optimization of data models focused on analytics, reporting, and credit-related use cases, ensuring scalability, consistency, and performance
Ensure Data Quality and Reliability
Maintain high data integrity through validation processes, monitoring, testing, and regular audits across datasets and pipelines
Automate and Improve Processes
Contribute to process automation and infrastructure improvements to increase efficiency and reduce manual work within the data platform
Generate Insights and Enable Decision-Making
Collaborate with business and technical stakeholders to deliver analytical datasets and reporting that support strategic decision-making within the Credit team
Collaborate and Grow Through Best Practices
Work closely with Analytics Engineers, Data Scientists, and Business stakeholders while continuously improving coding standards, documentation, and data modeling practices

Requirements

What you’ll need

Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or a related analytical field
3+ years of experience working with SQL
Experience working with complex queries and large-scale datasets
2+ years of experience with Python
Experience building or maintaining data pipelines and data models
Familiarity with dbt, Amazon Redshift, and orchestration tools such as MageAI is a strong plus
Advanced English level
Strong analytical thinking and problem-solving skills
Good stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences
Proactive mindset with interest in growing into a Senior Analytics Engineer role in the short-to-mid term

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 devices
Wellhub subscription to offer mental and physical health
Sponsored coaching and therapy sessions via Modern Health
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

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Hard Skills & Tools

SQLPythondata pipelinesdata modelsdata validationdata integrityprocess automationanalyticsreportingcredit-related use cases

Soft Skills

analytical thinkingproblem-solvingstakeholder managementcommunicationcollaborationproactive mindset

Certifications

Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in MathematicsBachelor’s degree in PhysicsBachelor’s degree in Statistics