Analytics Engineer - Credit

Klar is on a mission to democratize financial services in Mexico—because half of the population still doesn’t have access to a bank account. We’re building the future of fintech with a rich set of debit and credit products, and we’ve already served over 7 million users since our launch in 2019! 🚀

We are proud to compete in one of the most dynamic fintech markets in the world alongside the likes of Nubank, Revolut, and traditional banks—and we’re raising the stakes by building a premium brand that Mexicans are proud to carry in their wallets.

We are also proud to have been certified in 2023 as a “Great Place to Work” in Mexico. We've worked hard to make that happen and will continue to make bigger strides in the future! Sound like a place you’d like to be?

Our people

If you join us at Klar, you’ll be welcomed to a team which is rich in many talents and we are very proud! With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language. With so many people from different backgrounds and walks of life (young professionals, parents, LGBTQ+, neurodivergence), you’ll definitely find your people here! 

Our values

• Ownership - We own our successes & our failures as a team.
• Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.
• Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.
• Customer Obsession - We understand the value Klar can bring to its customers & it’s always at the forefront of our decisions.
• Klarity - We communicate clearly & with authenticity. It’s in our name & it’s what we do.

The position and your daily adventures

This is a full-time position based in our Mexico City office with a hybrid model. We’re looking forward to seeing you in the office 2-3 times per week.

You will be part of the Credit team at Klar, working closely with the Data Scientist Manager and cross-functional stakeholders to build scalable and reliable data solutions that support credit strategy, risk analysis, and business decision-making.

What you’ll do:

Build and Optimize Data Pipelines

• Develop and maintain scalable data pipelines using dbt, Amazon Redshift, and orchestration tools such as MageAI. You’ll 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.

You and your assets

• 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

Our offer to you

• Competitive salary based on performance and experience
• Chance of earning Klar stock options
• 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

Klar is a safe place for everyone!

We trust our highly skilled and diverse team and we’re committed to creating a welcoming and inclusive environment for new talents to flourish. We value diversity and welcome all applications regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation and identity.