About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY.

Position

Kueski is seeking a Senior Analytics Engineer to own the financial data infrastructure that powers Finance, Accounting, and FP&A.This role is ideal for someone who transforms complex financial logic into scalable dbt models, Databricks pipelines, and automated dashboards. You will lead the design, quality, and operational discipline of Kueski’s financial data products end to end.

You will drive the creation of datasets, KPIs, and reporting assets that support revenue, costs, margins, and portfolio insights, ensure governance, documentation, testing, and reliability across all financial data workflows, elevate analytics engineering best practices while shaping how financial data is built and maintained across the organization.

Key Responsibilities

Product Discovery & Market Insight

• Translate P&L and financial statement logic into scalable datasets and KPIs.

• Build and maintain reliable dbt data models that fuel Kueski’s financial reporting.

• Develop high-performance ETL/ELT pipelines in Databricks.

• Create automated Tableau dashboards that drive insight into revenue, costs, margins, and portfolio performance.

• Identify and propose improvements to enhance data accessibility and financial analytics.

Cross-Functional Collaboration

• Lead financial projects from concept to delivery, driving measurable business impact.

• Ability to translate business needs into scalable data solutions with real impact.

• Solid understanding of financial statements, P&L structure, cost drivers, and KPIs.

Insight Generation & Communication

• Establish and maintain robust data governance, including documentation standards, data lineage, and quality controls.

• Oversee thorough testing and validation processes to ensure accuracy and reliability of financial data.

• Build and maintain financial dashboards and reporting assets using Tableau.

• Design scalable data models and contribute to the architecture of analytical datasets (fact/dimension structures).

• Coordinate and manage data workflows using orchestration platforms such as Airflow or Astronomer.

Mentorship & Culture

• Mentor teammates and elevate analytics engineering best practices.

Job Requirements

• 5+ years in Analytics Engineering, Data Engineering, or similar roles (ideally supporting Finance/FP&A).

• Strong SQL and data modeling skills (star/snowflake, fact/dim).

• Proven experience with dbt, Databricks and modern data stacks (AWS, Delta Lake).

• Proficiency in Tableau for financial dashboards.

• Familiarity with orchestration tools (Airflow, Astronomer).

• Solid understanding of financial statements, P&L structure, cost drivers, and KPIs.

• Ability to translate business needs into scalable data solutions with real impact.

Diversity & Inclusion

At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.