Senior Analytics Engineer: Data Platform & Insights Lead

Nu; Ciudad de México; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción del empleo

About Nubank

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:

• 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 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
• Chance of earning equity at Nu
• Extended maternity and paternity leaves
• Health and life insurance
• Dental and Vision Insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus
• Food card
• Work-from-home Allowance
• Parental Consultancy
• Relocation Assistance Package, if applicable