Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and ideally have 3+ years of experience in data analysis or a similar role. Strong SQL skills are essential, along with experience with data warehousing concepts and tools. Familiarity with data modeling and ETL processes is also desired.
The Analytics Engineer at Addi will be responsible for building and maintaining scalable analytics workflows, transforming raw data into reliable and accessible insights, and ensuring data quality and consistency. They will collaborate with business stakeholders to understand their needs, deliver high-quality dashboards and reports, and proactively identify and resolve data-related issues. Additionally, they will participate in code reviews, contribute to strategic data initiatives, and promote data stewardship across the organization, while also handling ad-hoc business requests and operational support.
Buy now, pay later service in Latin America
Addi provides a buy now, pay later service that allows customers to make purchases and pay in installments without interest, additional costs, or paperwork. The company's technology enables seamless and transparent digital commerce in Latin America.