Nortal is hiring a Business Intelligence Engineer to join our Data team. You will partner closely with Data Engineering and a Product Manager to support reporting and analytics needs across multiple business departments, delivering reliable insights and scalable solutions.

What You'll Do

Write, optimize, and maintain complex SQL queries in BigQuery to extract, transform, and analyze data.
Develop, maintain, and enhance Tableau dashboards and reports for stakeholder use.
Support reporting and analytics needs across teams, translating business questions into datasets, metrics, and insights.
Contribute to the analytics layer in dbt by creating or adjusting models for reporting.
Partner closely with the Data Engineering team, leveraging existing data pipelines and models.
Validate data accuracy and integrity through reconciliation, QA checks, and documentation.
Troubleshoot data and reporting issues, collaborating to identify root causes.
Participate in structured requirement gathering, prioritization, and iterative delivery with stakeholders.
Ensure proper handling of sensitive data by following security and compliance requirements.
Build deeper business context around metrics and reporting definitions to improve analytics delivery.

What We're Looking For

Bachelor's Degree in Computer Science, Engineering, or a related field.
3+ years of experience as a Business Intelligence Analyst, BI Developer, Analytics Engineer, or similar role.
3+ years of experience writing and optimizing SQL queries, including performance tuning.
2+ years of experience building and maintaining Tableau dashboards 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).
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.