Jobgether
Business Intelligence Analyst
Company
Role
Business Intelligence Analyst
Location
Remote
Job type
Full-time
Found on Mokaru
🔥Recently
Salary
Job description
Accountabilities
- Design and develop advanced Power BI dashboards, scorecards, and interactive visual analytics to support regulatory and operational decision-making.
- Build and maintain scalable data models using Power BI, DAX, and Power Query (M language).
- Develop and optimize ETL processes and integrate data from Azure-based platforms and on-premise databases.
- Collaborate with data engineers, architects, and business stakeholders to manage data pipelines, semantic models, and reporting layers.
- Gather and translate business requirements and KPIs into structured BI solutions and reporting frameworks.
- Deliver executive-level insights through clear dashboards, reports, and data visualizations.
- Implement performance optimization techniques including incremental refresh, query tuning, and data model efficiency improvements.
- Apply data security practices including row-level security (RLS), access controls, and compliance standards.
- Conduct deep-dive analysis to identify trends, anomalies, and opportunities for operational improvement.
- Support end-users through training, documentation, and adoption of BI tools and dashboards.
- Publish and maintain datasets and dashboards in Power BI Service with scheduled refresh and monitoring.
- Explore and integrate AI-enabled capabilities to enhance data exploration, anomaly detection, and insight generation.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
- 3–6+ years of experience in Business Intelligence, Data Analytics, or related roles.
- Strong hands-on expertise with Microsoft Power BI, including DAX, Power Query, and dashboard development.
- Experience working with Azure data platforms and integrating multiple data sources.
- Strong understanding of data modeling, ETL processes, and semantic layer design.
- Ability to translate ambiguous business requirements into structured analytics solutions.
- Strong analytical thinking with ability to identify trends, patterns, and actionable insights.
- Experience with performance optimization and large-scale dataset handling in BI environments.
- Knowledge of data governance, security practices, and regulatory compliance is an asset.
- Strong communication skills with ability to present insights to technical and non-technical stakeholders.
- Ability to work independently and collaborate effectively in cross-functional teams.
- Experience in government, regulatory, or environmental data domains is an advantage.
Benefits
- Competitive compensation aligned with BI and data analytics roles in Canada.
- Opportunity to contribute to a high-impact digital transformation and regulatory modernization program.
- Fully remote or hybrid work flexibility depending on project requirements.
- Exposure to modern cloud data ecosystems and Microsoft Azure-based analytics platforms.
- Strong career development opportunities in enterprise data and business intelligence.
- Collaborative environment working with experienced data and engineering professionals.
- Opportunity to work on mission-critical datasets supporting environmental and regulatory decision-making.
- Access to advanced BI tools, AI-enhanced analytics capabilities, and modern data stack technologies.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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