Senior Analytics Engineer - Mexico

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About our team

As Analytics Engineers at Nubank, we are the bridge between the business needs and the data platform. We make data available to the entire company, always thinking about the best modeling, governance and performance. In addition, we share best practices and create new tools so that everyone who consumes the data can work in a more organized, efficient and secure way.

We have some links to help you better understand our Analytics Engineers team:

Data Analysts are now called Analytics Engineers

How is the selection process for Analytics Engineers at Nubank

Responsibilities

• Lead data projects from requirements mapping to database modeling and delivery;
• Contribute to the design, documentation, maintenance, monitoring and optimization of our code, and data tools;
• Identify opportunities for improvement in our ETL/ELT platform.
• Translate business needs into solutions aligned with data platform tools and strategies;
• Negotiate a data strategy with stakeholders that can deliver a great impact;
• Act in mentoring team members and data literacy at Nubank.

Skills & Experience

• Be passionate about data;
• Be able to write queries in SQL to solve highly complex problems in an optimized way;
• Experience in implementing and maintaining data pipelines;
• Understanding of software engineering good practices (eg Documentation, automated tests, clean code, etc);
• Programming experience with general-purpose languages (e.g. Python, Scala etc.)
• Knowledge of different database modeling and architecture techniques for analytical purposes (e.g. Data Mart, Data Lake, Data Warehouse etc.)
• Knowledge about distributed data systems and parallel processing;
• Ability to abstract business concepts into quantitative metrics (e.g.. KPIs, OKRs etc.)
• Good communication skills in dealing with stakeholders from technical and business areas;
• Knowledge in data visualization tools such as Looker, Power BI,Tableau, etc.
• Advanced English

Benefits

• Vacations equal to 17 days
• Year end bonus (“aguinaldo”) equal to 1 month
• Equity at Nu
• Vales de despensa
• Health insurance
• Dental and Vision Insurance 
• NuCare - Our mental health and wellness assistance program
• NuLanguage - Our language learning program

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/