.About KueskiAt 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.PurposeAs 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 ResponsibilitiesImprove the way our company consumes data: develop and deploy trusted and well-governed datasets with a high impact for the companyExtract 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 governanceDevelop and automate production-level data pipelines.Leverage data visualization tools to represent the data in a business-friendly mannerLocate 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 processesPosition Requirements+5 years of experience as Data Analyst / Business Analyst / Data Engineer or a similar disciplineSolid experience with manipulating data using SQLExperience with programming languages like Python & RExperience implementing and automating data pipelinesExperience with data building and modeling tools (data build tool) and version control systems (git)Experience with ETL/ELT design, development, optimization & testingStrong experience developing dashboards with BI tools like TableauKnowledge of statistical methods for experimental designNice to haveExperience with data analysis tools like Databricks, Astronomer, Airflow, DataCatalog, etc.Experience working with AWSYou'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
