Analytics Engineer II
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
Kueski’s mission is to ease the financial lives of people in Mexico. 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 a data analyst 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.
Analytics Engineers help to establish and develop a good foundation for our data models (tables), enabling analysts to be agile and efficient. Also, data analysts help to develop our analytical capabilities by means of designing and implementing experiments and doing ad hoc analyses.
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
+2 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, or others
Experience implementing and automating data pipelines
Strong experience developing dashboards with BI tools like Tableau
Knowledge of statistical methods for experimental design
To have a quantitative and analytical background. For example, a degree in fields such as Engineering, Actuarial Sciences, Physics, Mathematics, or similar
Strong technical skills using modern tools for data transformation and data modeling
Strong analytical skills
Strong skills to communicate clearly and effectively analyses and reports both to technical and non-technical audiences
Experience working with statistical analyses and experiments: A/B tests, significance tests, etc.
English proficiency
Nice to have
Experience with data building and modeling tools (dbt) and version control systems (git)
Experience with ETL/ELT design, development, optimization & testing
Experience with data analytics 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 are 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.
Analytics Engineer II
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
Kueski’s mission is to ease the financial lives of people in Mexico. 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 a data analyst 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.
Analytics Engineers help to establish and develop a good foundation for our data models (tables), enabling analysts to be agile and efficient. Also, data analysts help to develop our analytical capabilities by means of designing and implementing experiments and doing ad hoc analyses.
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
+2 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, or others
Experience implementing and automating data pipelines
Strong experience developing dashboards with BI tools like Tableau
Knowledge of statistical methods for experimental design
To have a quantitative and analytical background. For example, a degree in fields such as Engineering, Actuarial Sciences, Physics, Mathematics, or similar
Strong technical skills using modern tools for data transformation and data modeling
Strong analytical skills
Strong skills to communicate clearly and effectively analyses and reports both to technical and non-technical audiences
Experience working with statistical analyses and experiments: A/B tests, significance tests, etc.
English proficiency
Nice to have
Experience with data building and modeling tools (dbt) and version control systems (git)
Experience with ETL/ELT design, development, optimization & testing
Experience with data analytics 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 are 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.