Join Kueski as an Analytics Engineer II - Finance

About Kueski

At Kueski, our mission is to enhance the financial lives of people in Mexico. Since our inception in 2012, we have established ourselves as the premier buy now, pay later (BNPL) and online consumer credit platform in Latin America, recognized for our cutting-edge financial services. Our key product, Kueski Pay, offers seamless payment solutions for both online and in-store transactions, making it the preferred choice for a quarter of Mexico's leading e-commerce merchants. Remarkably, we were the first to pioneer BNPL on Amazon Mexico.

As a technology-driven company, we champion an innovative, collaborative, and impactful culture, fostering a diverse and inclusive work environment. In 2023, Kueski was honored as the leading BNPL platform by Fintech Breakthrough and received accolades from AMITAI as one of the most ethical companies in Mexico. Additionally, we were named one of the Best Companies for Female Talent by EFY.

Your Purpose

Join our team of Analytics Engineers, where you'll harness state-of-the-art technologies for data processing and employ your analytical expertise to drive impactful business outcomes.

Key Responsibilities

• Enhance data consumption within our company by developing and deploying well-governed, impactful datasets.
• Extract data from both primary and secondary sources while maintaining databases and data systems.
• Efficiently manage large volumes of data and interpret data to analyze results using statistical techniques, providing ongoing reports.
• Conduct analyses to assess data quality.
• Develop and automate production-level data pipelines.
• Leverage data visualization tools to present data in a business-friendly manner.
• Identify and define new opportunities for process improvement.
• Automate and optimize recurrent and manual processes.
• Provide comprehensive support to Finance and Accounting teams.
• Develop new data models tailored for Finance and Accounting purposes using dbt.
• Create dashboards to monitor inconsistencies and automate reports for the Finance & Accounting team.

Position Requirements

• Degree in Engineering, Actuarial Sciences, Physics, Mathematics, or related fields.
• 5+ years of experience in roles such as Data Analyst, Business Analyst, or Data Engineer, particularly working closely with Finance teams.
• Proficiency with P&L, Financial statements, Vintage/Cohorts analytics, and other financial methodologies.
• Experience in data model design and analysis with an understanding of domain concepts like Keys, Dimensions, Star schemas, OLAP, and Data Lakes.
• Knowledge of data analysis tools like Databricks, Astronomer, Airflow, and DataCatalog.
• Strong SQL skills for data manipulation.
• Experience in implementing and automating data pipelines.
• Proficiency with data building and modeling tools (dbt) and version control systems (git).
• Experience in ETL/ELT design, development, optimization, and testing.
• Skilled in developing dashboards with BI tools like Tableau.
• Capability in conducting statistical analyses and experiments, such as A/B tests and significance tests.
• Excellent communication skills to clearly and effectively present analyses and reports to both technical and non-technical audiences.
• Focus on business objectives and results.
• Aptitude for providing technical guidance and mentorship to junior analytics engineers and team members.
• Fluency in English.

Why You'll Love Working at Kueski

Our mission-driven culture emphasizes customer value, teamwork, humility, and integrity. We ensure role clarity, career growth, and personal development plans for all employees, embedding feedback and recognition in our processes. We offer a competitive salary, medical insurance, flexible time off, and mental healthcare benefits. Everyone at Kueski is an owner and eligible for competitive stock options. We're dedicated to building a diverse and inclusive team, knowing that it leads to incredible results.

Kueski: Where talent excellence improves Mexican lives. #LifeAtKueski #KueskiTalent

Apply Now to become a part of our transformative team!