Home › Companies › Klar › Analytics Engineer - Credit
Analytics Engineer - Credit
Klar · Mexico City, CDMX, 11550, Mexico · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Klar |
| Title | Analytics Engineer - Credit |
| Normalized title | - |
| Department / team | Credit |
| Location | Mexico City, CDMX |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-14 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Klar. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Mexico City. | Open |
| Department jobs | Active postings in Credit. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Klar |
| Source | 95fd11c5-513b-42e6-ab74-be4a2eb8eab2 |
| ATS provider | BambooHR |
Description
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.
Full job record
| Job ID | 67ff65a19a34a6968d032e056062ef970fba0581 |
| Org ID | b14e6e10-58ac-4b71-acd8-af50b859c847 |
| Source ID | 95fd11c5-513b-42e6-ab74-be4a2eb8eab2 |
| Board ID | 95fd11c5-513b-42e6-ab74-be4a2eb8eab2 |
| Provider | bamboohr |
| Provider Job Key | 362 |
| Title | Analytics Engineer - Credit |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Mexico City, CDMX, 11550, Mexico |
| Department | Credit |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | — |
| Region | CDMX |
| City | Mexico City |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://klar.bamboohr.com/careers/362 |
| Apply URL | https://klar.bamboohr.com/careers/362 |
| First Seen At | 2026-05-30 05:58:17Z |
| Last Seen At | 2026-06-06 10:22:30Z |
| Last Checked At | 2026-06-06 10:22:30Z |
| Last Changed At | 2026-05-30 05:58:17Z |
| Inactive At | — |
| Source Posted At | 2026-05-14 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=klar/date=2026-06-06/2026-06-06T10-22-27-472Z-4a60beb1a4dbc7909ae3b2ef90985a7d3561a3a239149782ae6b717f948969f9.json |
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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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! 🚀</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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?</span></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Our people</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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! </span></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Our values</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Ownership </span>- We own our successes & our failures as a team.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Excellence </span>- We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Inclusion</span> - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Customer Obsession </span>- We understand the value Klar can bring to its customers & it’s always at the forefront of our decisions.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Klarity </span>- We communicate clearly & with authenticity. It’s in our name & it’s what we do.</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">The position and your daily adventures</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What you’ll do:</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Build and Optimize Data Pipelines</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></li>\n</ul>\n<p><span style=\"color: rgb(67, 67, 67); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Design and Maintain Data Models</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Support the design and optimization of data models focused on analytics, reporting, and credit-related use cases, ensuring scalability, consistency, and performance.</span></li>\n</ul>\n<p><span style=\"color: rgb(67, 67, 67); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Ensure Data Quality and Reliability</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Maintain high data integrity through validation processes, monitoring, testing, and regular audits across datasets and pipelines.</span></li>\n</ul>\n<p><span style=\"color: rgb(67, 67, 67); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Automate and Improve Processes</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Contribute to process automation and infrastructure improvements to increase efficiency and reduce manual work within the data platform.</span></li>\n</ul>\n<p><span style=\"color: rgb(67, 67, 67); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Generate Insights and Enable Decision-Making</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate with business and technical stakeholders to deliver analytical datasets and reporting that support strategic decision-making within the Credit team.</span></li>\n</ul>\n<p><span style=\"color: rgb(67, 67, 67); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Collaborate and Grow Through Best Practices</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work closely with Analytics Engineers, Data Scientists, and Business stakeholders while continuously improving coding standards, documentation, and data modeling practices.</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">You and your assets</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or a related analytical field</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">3+ years of experience working with SQL</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working with complex queries and large-scale datasets</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">2+ years of experience with Python</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience building or maintaining data pipelines and data models</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with dbt, Amazon Redshift, and orchestration tools such as MageAI is a strong plus</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Advanced English level</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong analytical thinking and problem-solving skills</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Good stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proactive mindset with interest in growing into a Senior Analytics Engineer role in the short-to-mid term</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Our offer to you</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Competitive salary based on performance and experience</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Chance of earning Klar stock options</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">15 days of paid vacation per year; plus extended maternity and paternity leaves</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Vacation premium</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">30 days of Christmas bonus</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Food vouchers</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Medical Insurance</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Computer devices</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Wellhub subscription to offer mental and physical health</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Sponsored coaching and therapy sessions via Modern Health</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">A modern centrally located office in Mexico City with free drinks, snacks, and regular social events</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">International work environment with amazing and highly skilled people</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">A world class team that helps you evolve your skills in areas you're interested in</span></li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Klar is a safe place for everyone!</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; 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