(1564) Senior BI Consultant

Join Nortal for your next big adventure. We are seeking Senior BI Consultant to join our team, grow with us, and teach us a few things along the way. Why join Nortal Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values. Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. Our benefits ✨ Competitive USD salary. 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 & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. 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 off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. About the project As we continue to grow, we are looking to add a Senior BI Consultant to our team. If you are passionate about turning complex data into clear, actionable insights and thrive on owning a BI solution end-to-end, this is a great opportunity for you. This role sits within our Business Intelligence & Analytics practice and owns the technical and consultative quality bar from requirements gathering through delivery. You will work closely with business stakeholders, data engineers, and technical teams, combining strong hands-on skills in Power BI, Microsoft Fabric, and SQL with a solid understanding of business requirements and performance management. This is a role where technical depth, business understanding, and ownership across the entire BI lifecycle are equally important.

What you'll do

Design and implement end-to-end Business Intelligence solutions based on business and analytical requirements. Work closely with business stakeholders to understand objectives, KPIs, processes, and reporting needs. Translate business requirements into effective data models, analytical solutions, and visualizations. Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures. Design and implement scalable data models using dimensional modeling and best practices. Develop and optimize SQL queries, stored procedures, views, and data transformation processes. Design and implement ETL/ELT processes for integrating data from multiple sources. Work with Microsoft Fabric components such as Lakehouse, Data Warehouse, pipelines, notebooks, and semantic models. Contribute to modern Medallion Architecture (Bronze/Silver/Gold) implementations. Ensure data quality, consistency, performance, security, and scalability across BI solutions. Analyze existing BI solutions and identify opportunities for optimization and modernization. Define and implement KPIs, metrics, balanced scorecards, and management reporting solutions. Troubleshoot data, reporting, and performance issues across the BI stack. Collaborate with Data Engineers, Solution Architects, Developers, and business teams. Provide technical guidance and mentoring to less experienced BI professionals. What makes you a great fit B achelor's Degree in Computer Science, Engineering, or related 7+ years of professional experience in Business Intelligence, , Data Warehousing, or a related field. Strong hands-on experience with Power BI, including advanced DAX and semantic models. Strong SQL skills, including query optimization and complex data transformations. Solid understanding of data modeling, dimensional modeling, star schemas, facts, dimensions, and slowly changing dimensions. Experience designing and implementing ETL/ELT processes. Hands-on experience with Microsoft Fabric or equivalent modern data platforms. Experience with data warehouse and/or lakehouse architectures, and understanding of Medallion Architecture. Experience integrating data from multiple sources such as relational databases, APIs, files, ERP, CRM, or cloud platforms. Strong understanding of BI architecture and the complete data-to-insight lifecycle. Experience gathering and translating business requirements into technical solutions. Strong analytical and problem-solving skills, with excellent communication and stakeholder management abilities. 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 Global Impact, Local Culture 🌍 For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future. We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives. Apply now and let’s shape the future of technology together! 🧑 💻 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. ( https://nortal.com/recruitment-and-hiring-privacy-statement/ ) 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.