4 meilleures offres (business intelligence analyst, saskatchewan) (à pourvoir)

Business Intelligence Analyst (Saskatoon)
Q-LINE TRUCKING LTD —Saskatoon, SK
- Temps plein
- Diplôme d'études secondaires
- Esprit d'analyse
- Amélioration continue
Postuler rapidement
il y a 8 jours
Business Metrics Analyst
SaskTel —Regina, SK
- De 30,67 $ à 44,04 $ de l’heure
- Temps plein
- Informatique
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Senior Data Analyst
SaskEnergy —Regina, SK
- De 81 613 $ à 117 050 $ par an
- Temps plein
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il y a 8 jours
Strategic Finance Analyst (Data & Analytics)
Farm Credit Canada —Regina, SK
- De 94 620 $ à 128 020 $ par an
- Temps plein
- Travail hybride
- Informatique
- Anglais
- Finance
il y a 6 jours

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Business Intelligence Analyst (Saskatoon)
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This role goes beyond traditional report development by establishing reporting frameworks, data models, and governance structures that support consistent,…
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il y a 8 jours

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Business Intelligence Analyst (Saskatoon)

Q-LINE TRUCKING LTD
Saskatoon, SK

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Détails du poste

Temps plein
Il y a 8 jours

Compétences

Power BI
Modélisation de données
Veille économique
Logistique
Diplôme d'études secondaires
Esprit d'analyse
Amélioration continue
Utilisabilité
Compétences en communication
Analytique

Description complète du poste

The Business Intelligence Analyst is responsible for partnering directly with business stakeholders to understand reporting needs, translate complex business questions into meaningful analytics, and design scalable reporting structures from the ground up. This role goes beyond traditional report development by establishing reporting frameworks, data models, and governance structures that support consistent, trusted decision-making across the organization. This position requires a strong consultative mindset, the ability to communicate effectively with non-technical audiences, and a deep understanding of the operational context behind the data.
Key Responsibilities & Accountabilities

Business Partnership & Requirements Interpretation
- Partner directly with business leaders and operational teams to understand the intent and decision-making context behind requests.
- Facilitate structured discussions to define business questions, success measures, and reporting objectives.
- Translate ambiguous or evolving requests into structured, actionable reporting requirements.
- Challenge and refine stakeholder assumptions to ensure accurate interpretation of data needs.
- Act as a trusted advisor in helping stakeholders interpret data outputs and insights.
Reporting Framework & Structure Design
- Design and develop scalable reporting frameworks that support cross-functional use.
- Create reusable data models that serve multiple analytical and reporting needs.
- Define and enforce standards for report layout, naming conventions, and calculations.
- Ensure consistency in how metrics are defined, calculated, and presented across reports.
- Build foundational analytics solutions in areas with limited or no existing reporting structure.
Data Modelling, Permissions & Governance
- Design and maintain data models that support performance, usability, and scalability.
- Develop and manage role-based access controls and data permission structures.
- Collaborate with IT and leadership to align reporting with security and governance requirements.
- Maintain clear documentation of data definitions, calculations, and ownership.
- Ensure data integrity and proper usage through governance best practices.
Reporting & Analytics Delivery
- Develop, maintain, and enhance Power BI dashboards aligned with organizational standards.
- Deliver insights that support operational and strategic decision-making.
- Validate report outputs through reconciliation with source systems.
- Monitor report performance and optimize data models and queries.
- Continuously evolve reporting solutions as business needs and data sources change.
Continuous Improvement & Knowledge Transfer
- Identify opportunities to improve reporting processes, tools, and data structures.
- Support the development of a data-driven culture across the organization.
- Create and maintain clear, user-friendly documentation for reports and data models.
- Promote adoption of analytics tools and self-service reporting capabilities.

5+ years of experience in business intelligence, analytics, or reporting roles.
Proven experience working with business stakeholders to deliver analytics solutions.
Strong experience in data modelling and reporting framework design.
Experience in operational or logistics environments is considered an asset.
Skills & Competencies
Strong consultative and communication skills with both technical and non-technical audiences.
Advanced expertise in Power BI, DAX, and data modelling concepts.
Strong analytical thinking and problem-solving capabilities.
Ability to design scalable and maintainable analytical solutions.
High attention to detail and commitment to data accuracy.
Comfortable working in ambiguous environments and leading solution development.

Work Authorization Requirement

At Q-Line, we are committed to building strong, capable teams across our terminals. Candidates must be legally authorized to work in Canada at the time of application. Please note that Q-Line is not able to provide immigration sponsorship or LMIA support for this position.

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