Business Intelligence Engineer

Explore the Nortal experience  Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.  Say goodbye to micromanagement We champion autonomy, open communication, and respect for diversity as our core values. Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. Ready to grow with us?   Here's what we offer you by joining us   Competitive USD salary  – We value your skills and contributions  100% remote work  – While you can work from anywhere, you're always welcome to connect with teammates and grow your network at our coworking spaces across LATAM   Paid time off – Take the time you need according to your country's regulations, all while receiving your full salary. Rest, recharge, and come back stronger   National Holidays celebrated  – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.  Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.  Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance  Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.  Birthday day off  – Enjoy an extra day off during your birthday week to celebrate in style with friends and family About the project  As a Business Intelligence Engineer, you will work within the Data team, partnering closely with the Data Engineering team and a Product Manager to support reporting and analytics needs across multiple departments, including Finance and Product. How you'll contribute   Write, optimize, and maintain complex SQL queries in BigQuery to extract, transform, and analyze data for reporting and analytics use cases.  Develop, maintain, and enhance Tableau dashboards and reports, ensuring stakeholder-ready design, usability, and scalability.  Support reporting and analytics needs across multiple teams (Finance, Product, and others), translating business questions into datasets, metrics, and actionable insights.  Contribute to the analytics layer in dbt by creating or adjusting models for reporting use cases, following established patterns and best practices.  Partner closely with the Data Engineering team, leveraging existing data pipelines and models (no major pipeline ownership initially).  Validate data accuracy and integrity through reconciliation, QA checks, documentation, and ongoing monitoring.  Troubleshoot data and reporting issues, collaborating with the Data team to identify root causes and resolve inconsistencies.  Participate in structured requirement gathering, prioritization, and iterative delivery with cross-functional stakeholders, supported by a Product Manager.  Ensure proper handling of sensitive data by following security, access control, and compliance requirements.  Build deeper business context around metrics, entity relationships, and reporting definitions to proactively improve analytics delivery>  This would make you the ideal candidate   Bachelor's Degree in Computer Science, Engineering, or a related field.  3+ Years of experience working as a Business Intelligence Analyst, BI Developer, Analytics Engineer, or similar data-focused role.  3+ Years of experience writing and optimizing SQL queries, including joins, aggregations, complex logic, and performance tuning.  2+ Years of experience building and maintaining Tableau dashboards and visualizations for business stakeholders.  Strong understanding of relational databases and data structures.  Proven ability to deliver reliable, high-quality reporting in collaboration with business and technical teams.  Experience working with cloud data warehouses, preferably BigQuery.  Working knowledge of DBT, including models, modular transformations, and analytics engineering workflows.  Understanding of analytics data modeling concepts (facts/dimensions, star schemas) to support consistent KPI definitions.  Ability to work closely with Data Engineers within established pipelines and architectures.  Strong data quality practices, including validation, documentation, and QA processes.  Comfort handling sensitive data and following security or compliance requirements.  Ability to manage priorities and deliver incrementally in a small, fast-moving team.  Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.  What to expect from our hiring process  1. Let's chat about your experience  2. Impress our recruiters, and you'll move on to a technical interview with our top developers.  3. Nail that, and you'll meet our client - your final step to joining our amazing team   At Nortal, we're dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.  Let's work together to shape the future of technology   Apply now  By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.