Analytics Engineer

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 a quarter 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 company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose

As an Analytics Engineer with strong capabilities to implement the best technologies for data processing and at the same time with a strong analytical drive to generate the best business outcomes.

Key Responsibilities

• Improve the way our company consumes data: develop and deploy trusted and well governed datasets with a high impact for the company

• Extract data from primary or secondary data sources and maintain databases/data systems.

• Work with large amounts of data (in an efficient and optimized fashion)

• Interpret data and analyze results using statistical techniques. Provide ongoing reports related to such business and data analyses.

• Performing analyses to assess the quality of our data.

• Support data stewardship and data governance

• Develop and automate production-level data pipelines.

• Leverage data visualization tools to represent the data in a business-friendly manner

• Locate and define new process improvement opportunities.

• Work closely with stakeholders and colleagues across Kueski to drive improvements in our products and impact KPIs.

• Automate and optimize recurrent and manual processes

Position Requirements

• +5 years of experience as Data Analyst / Business Analyst / Data Engineer or a similar discipline

• Solid experience with manipulating data using SQL

• Experience with programming languages like Python & R

• Experience implementing and automating data pipelines

• Experience with data building and modeling tools (data build tool) and version control systems (git)

• Experience with ETL/ELT design, development, optimization & testing

• Strong experience developing dashboards with BI tools like Tableau

• Knowledge of statistical methods for experimental design

Nice to have

• Experience with data analysis tools like Databricks, Astronomer, Airflow, DataCatalog, etc.

• Experience working with AWS

You’ll love working at Kueski because:

• We have a mission-driven culture focused on customer value, teamwork, humility, and integrity.
• Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition is embedded in our company processes, systems, and practices.
• We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits. Everyone is an owner and eligible for competitive stock options with a company poised for success.
• We´re committed to building an inclusive and diverse team and we know this leads to incredible work.

Kueski: Where talent excellence improves Mexican lives

#LifeAtKueski #KueskiTalent