About Addi We are a technology company working to transform credit and banking in Latin America starting with point of sale finance. We aim to build fair, simple and affordable financial services that empower our clients, treating them with dignity, and building financial freedom. We launched in February 2019 and have already served millions of clients and disbursed millions of dollars. We operate as a full stack startup. We have built our core systems and processes from scratch, and we believe our technology and analytics platform will drive our progress into the years to come. We come at this with deep experience building and growing technology teams and financial products. As important as what we do is how we do it. We are a conscious company and are deeply committed to working and living our five core values - A company of owners inspiring colleagues, we pull rabbits out of hats, we care and we trust, act with integrity, win today every day, and scale exponentially. We are backed by Andreessen Horowitz, Monashees, Village Global, and an outstanding team of individual angels, including Kevin Ryan, Josh Abramowitz, and Scott Weiss. Mission Analytics engineers (AE) make use of the infraestructure and environment created by data engineers and create reusable data assets. As a team member responsible for helping to bridge the gap between business and technology, the analytics engineer role requires equal amounts acumen and technical acumen. What you will do Understand the data structure of ADDI from its origin (events, transactional tables, and data received from multiple tools), participating in PRs and making decisions about its integrity, consistency, relevance, completeness, and how, where, and when it should be modeled in our analytical datasets. Maintain and build our multi-hoop by handling data ingestion, cleaning, and transformation. It will need to technically define each data product (trust tables, datamarts, etc), understand and apply business logic, follow standards and best practices, and be responsible for testing, validation, maintenance, and alerts. Maintain and create dashboards and other reports needed by our stakeholders. Perform operational tasks such as handling and creating alerts, creating runbooks, resolving ad-hoc tasks (simple requests not part of long-term planned initiatives), and responding to inquiries in our support channels. Also this person must attend alerts and incidents during the on call rotation. Execute medium-complexity end-to-end initiatives (for example, creating a new pipeline from ingestion to final report), respecting commitments and deadlines, potentially as part of a squad, and always following the team's work standards. Requirements Strong SQL skills for querying and manipulating large datasets. Python knowledge (at basic level). Experience in designing and implementing data models. Understanding of ETL (Extract, Transform, Load) processes and tools (e.g., Apache Airflow , Talend, dbt ). Experience with Github. Familiarity with data warehousing concepts and platforms (e.g., Databricks , Amazon Redshift, Google BigQuery, Snowflake). Experience with data visualization tools as Looker, Power BI, Tableau, Preset, etc Ability to perform complex data analysis and develop insightful reports. Ability to effectively communicate findings and technical details to both technical and non-technical stakeholders. Strong teamwork, adaptability, and the ability to manage multiple tasks or projects simultaneously. Desirable Qualifications Experience with cloud platforms such as AWS , Google Cloud Platform, or Azure. Knowledge of advanced statistical methods or machine learning techniques. Familiarity with big data frameworks like Hadoop or Spark. Understanding of data governance practices and quality assurance processes. Benefits Work on a problem that matters and help change customers' lives. Build a lasting company from the very beginning, helping define every aspect of it. Massive market opportunity ahead of us; we are growing faster than pretty much any other fintech lender was at our stage. Work alongside a great and diverse team that cares about what we are doing and how we are doing it. Generous compensation, including equity, 100% health insurance (and 50% for dependents), flexible time-off, learning budget, and visa sponsorship for foreigners. How the hiring process looks like Meet with our recruiter for a 30-minute video chat. We will get to know you better, understand what you're looking for, and answer any questions you might have about ADDI. Meet with one backend software engineer for a 45-minute video chat interview. Here, we will ask you questions about your technical background and basic computer science concepts. You will be able to ask any questions about the culture and how we work at ADDI. Complete a simple take-home challenge within a 1-week window. With this technical challenge, we want to see your technical expertise solving a real-world problem. We expect that you invest 5 hours or less in developing a working solution. Meet with a backend software engineer and the engineering manager for a 45-minute chat to talk about your take-home exercise submission and any questions you might have. Meet onsite with one of our founders for a 30-minute chat to talk about the vision of the company, what we are building and how you will contribute to our product. #J-18808-Ljbffr
