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HomeCompaniesKlarAnalytics Engineer - Credit

Analytics Engineer - Credit

Klar · Mexico City, CDMX, 11550, Mexico · Remote · Active · BambooHR

Job facts

FieldValue
CompanyKlar
TitleAnalytics Engineer - Credit
Normalized title-
Department / teamCredit
LocationMexico City, CDMX
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-14 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Klar.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mexico City.Open
Department jobsActive postings in Credit.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKlar
Source95fd11c5-513b-42e6-ab74-be4a2eb8eab2
ATS providerBambooHR

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 ID67ff65a19a34a6968d032e056062ef970fba0581
Org IDb14e6e10-58ac-4b71-acd8-af50b859c847
Source ID95fd11c5-513b-42e6-ab74-be4a2eb8eab2
Board ID95fd11c5-513b-42e6-ab74-be4a2eb8eab2
Providerbamboohr
Provider Job Key362
TitleAnalytics Engineer - Credit
Normalized Title
Statusactive
Activeyes
Location TextMexico City, CDMX, 11550, Mexico
DepartmentCredit
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
Country
RegionCDMX
CityMexico City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://klar.bamboohr.com/careers/362
Apply URLhttps://klar.bamboohr.com/careers/362
First Seen At2026-05-30 05:58:17Z
Last Seen At2026-06-06 10:22:30Z
Last Checked At2026-06-06 10:22:30Z
Last Changed At2026-05-30 05:58:17Z
Inactive At
Source Posted At2026-05-14 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=klar/date=2026-06-06/2026-06-06T10-22-27-472Z-4a60beb1a4dbc7909ae3b2ef90985a7d3561a3a239149782ae6b717f948969f9.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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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 &amp; 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 &amp; 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 &amp; 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 &amp; with authenticity. It’s in our name &amp; 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; font-size: 12pt; font-style: italic\">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.</span></p>",
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    "minimumExperience": "Mid-level",
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