Is the Analytics Engineer III role at Kueski remote?

Yes, the Analytics Engineer III role at Kueski is a remote position.

How do I apply for the Analytics Engineer III position at Kueski?

You can apply for the Analytics Engineer III position at Kueski directly through HireHere. Click the "Apply" button on the job listing to be taken to the application page.

Analytics Engineer III

KueskiRemote1w ago

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

Data Modeling & Pipeline Development

Build and maintain reliable dbt data models that fuel Kueski’s financial reporting.
Develop high-performance ETL/ELT pipelines in Databricks.
Translate P&L and financial statement logic into scalable datasets and KPIs.

Analytics & Visualization

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.

Data Governance & Quality

Ensure strong data governance, documentation, testing, and quality.

Technical Leadership & Project Ownership

Mentor teammates and elevate analytics engineering best practices.
Lead projects from concept to delivery, driving measurable business impact.

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.