Published: Tue, 19 Nov 2024 14:50:19 GMT
Position: Analytics Engineer II at Kueski
Location: Mexico
Kueski is a leading financial technology company in Latin America, dedicated to improving the financial lives of people in Mexico. Since 2012, we have pioneered innovative solutions in buy now, pay later (BNPL) and online consumer credit. Our flagship product, Kueski Pay, is the preferred payment option for a quarter of Mexico’s top e-commerce merchants. We are also the first to introduce BNPL on Amazon Mexico.
At Kueski, we have a dynamic and inclusive culture that values collaboration, innovation, and impact. In 2023, we were recognized as the top BNPL platform by Fintech Breakthrough and one of Mexico’s most ethical companies by AMITAI. We were also ranked as one of the Best Companies for Female Talent by EFY.
Purpose:
Our mission at Kueski is to ease the financial lives of people in Mexico. We have a results-oriented team with a customer-centric mindset and a focus on agility. Collaboration with business and product teams is crucial, and we thrive on being challenged to learn and innovate.
We are currently seeking a highly skilled Analytics Engineer to join our team. This role will involve implementing the best technologies for data processing and using analytical insights to drive business outcomes.
Key Responsibilities:
– Develop and deploy trusted and well-governed datasets to support decision-making across the company
– Extract data from various sources and maintain databases/data systems
– Work with large volumes of data in an efficient and optimized manner
– Analyze data using statistical techniques and provide regular reports
– Assess the quality of our data and ensure data stewardship and governance
– Develop and automate data pipelines
– Use data visualization tools to present insights in a user-friendly manner
– Identify and implement process improvement opportunities
– Collaborate with stakeholders to drive improvements in products and KPIs
– Automate and optimize manual processes
Position Requirements:
– Minimum of 2 years of experience as a Data Analyst, Business Analyst, or Data Engineer
– Proficiency in SQL and experience with programming languages like Python, R, or others
– Familiarity with data pipelines and automation
– Strong experience in developing dashboards with BI tools such as Tableau
– Knowledge of statistical methods for experimental design
– Quantitative and analytical background, preferably with a degree in Engineering, Actuarial Sciences, Physics, Mathematics, or a related field
– Technical skills in data transformation and modeling
– Excellent analytical and communication skills, with the ability to present findings to both technical and non-technical audiences
– Experience with statistical analyses and experiments, such as A/B tests and significance tests
– Fluency in English
Nice to have:
– Experience with data building and modeling tools (dbt) and version control systems (git)
– Knowledge of ETL/ELT design, development, optimization, and testing
– Familiarity with data analytics tools like Databricks, Astronomer, Airflow, and DataCatalog
– Experience working with AWS
Why Join Kueski?
– We have a mission-driven culture that values customer value, teamwork, humility, and integrity
– Role clarity, career growth, and personal development are priorities for everyone on our team. Feedback and recognition are integral parts of our company processes and practices
– We offer competitive salary, medical insurance, and wellbeing benefits, including flexible time off and mental healthcare support. All employees are eligible for stock options in a company that is poised for success
– We are committed to building a diverse and inclusive team, knowing that this leads to exceptional work
– At Kueski, talent excellence improves Mexican lives
#LifeAtKueski #KueskiTalent
At Kueski, we embrace diversity in all its forms, promote equity, and ensure everyone feels included and valued. We are committed to fully including all qualified candidates and will make reasonable accommodations during the hiring process. If you require accommodations, please inform our Talent Acquisition team. Apply link
