Analytics Engineer II

12 hours ago

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Logo of Kueski

Kueski

Fintech • Finance • Development • technology • data

501 - 1000

💰 $23.3M Venture Round on 2022-10

Description

• About 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. • Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions. • We're a tech company with a culture geared toward innovation, collaboration, and impact. • Kueski’s mission is to ease the financial lives of people in Mexico. • We are looking for a data analyst with strong capabilities to implement the best technologies for data processing and analytical drive to generate the best business outcomes. • Analytics Engineers help to establish and develop a good foundation for our data models (tables) and support analytical capabilities.

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. • 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.

Benefits

• 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.

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