Analytics Engineer III
KueskiPosted 3/13/2025
Analytics Engineer III
Kueski
Job Location
Job Summary
Kueski is a leading buy now, pay later and online consumer credit platform in Latin America, dedicated to improving financial lives of people in Mexico. The company is seeking an Analytics Engineer II to collaborate with data scientists, analysts, and business stakeholders to design and develop data pipelines, ETL processes, and data integration workflows. The ideal candidate will have a quantitative and analytical background, experience as an Analytics Engineer or similar role, and proficiency in SQL, Python, and data visualization tools. Kueski offers a mission-driven culture focused on customer value, teamwork, humility, and integrity, with competitive salary, medical insurance, and wellbeing benefits.
Job Description
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.
Purpose
Over half of the Mexican population does not have access to financial products, due to the limitations of traditional banking institutions. Kueski’s mission is to provide financial opportunities to these people through technological innovation.Our team is results-oriented, with a customer-centric mindset, and values agility. Close partnership with business and product teams is essential, and we like to be constantly challenged to learn and do more. We are looking for 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
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
- Design and develop data pipelines, ETL processes, and data integration workflows to extract, transform, and load data from various sources into our data warehouse.
- Build and maintain data models, ensuring data accuracy, consistency, and reliability.
- Develop and optimize SQL queries for data retrieval and analysis, catering to different reporting and analysis needs.
- Create interactive and visually appealing dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
- Implement data quality checks, monitoring processes, and error-handling mechanisms to ensure data integrity.
- Collaborate with cross-functional teams to troubleshoot data-related issues, optimize data processes, and improve performance.
- Stay current with industry trends and emerging technologies in data analytics and contribute to the adoption of best practices.
Position Requirements
- To have a quantitative and analytical background. For example, a degree in fields such as Engineering, Actuarial Sciences, Physics, Mathematics, or similar
- Previous experience as an Analytics Engineer or similar role, with a strong foundation in data engineering and analytics.
- Understanding of data modeling concepts and database design principles.
- Strong understanding of domain concepts like Keys, Dimensions, Star schemas, snowflake schemas, OLAP, DWH, ODS, EDW, DataLake
- Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) and data warehousing concepts.
- Experience with ETL tools, data integration platforms, and workflow orchestration (e.g., Apache Airflow, Talend, Informatica).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and dashboard development.
- Strong programming skills in languages like SQL, Python, or similar.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills to collaborate with technical and non-technical stakeholders.
- Nice to have:
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
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
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.
