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Business Intelligence Engineer

Kohl & Frisch Limited

Greater Toronto Area, Canada · À temps plein

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Expérience
3 ans et plus
Salaire
CAD 85,000 – CAD 105,000 / year
Ouvertures
1
Publié
il y a 7 heures
Mode de travail
Au bureau
Éducation
Bachelor's degree in Computer Science, IT or related discipline
CV
Candidature requise

Description de l'emploi

About Kohl & Frisch Limited

Established in 1916, Kohl & Frisch Limited is a distinguished Canadian-owned national distributor specializing in healthcare products. As a family-run enterprise, it serves as a vital connection between pharmaceutical manufacturers and healthcare providers, supporting pharmacies, clinics, hospitals, and retailers across Canada with a comprehensive portfolio including prescription, OTC, home healthcare, and front shop items.

Role Overview

The Business Intelligence Engineer will ensure the reliability of existing reporting systems while contributing to the advancement of new data architectures and reporting solutions, utilizing Microsoft Fabric, Power BI, and Power Automate technologies in a collaborative and innovative work environment.

Key Responsibilities

  • Understand and navigate the evolving data ecosystem including legacy SSRS, ERP data systems, and Microsoft Fabric components.
  • Create and enhance data flows along with Power BI dashboards and reports tailored for internal and external stakeholders.
  • Identify and resolve data-related issues by investigating root causes across multiple systems and sources.
  • Assist business units with on-demand data requests, report management, and validation processes.
  • Monitor scheduled reporting workflows to guarantee accurate, complete, and uninterrupted report delivery.
  • Oversee timely and dependable production and distribution of operational and analytical reporting outputs.
  • Adhere to established procedures while contributing to the development of BI and data engineering standards and best practices.

Education and Experience Requirements

  • Bachelor's degree in Computer Science, Information Technology, or related fields.
  • At least 3 years of professional experience as a BI Engineer in contemporary Microsoft BI and analytics platforms.
  • Proficient in T-SQL and working with complex relational database structures.
  • Experienced in developing ETL/ELT pipelines using Python and DataFrame-centric frameworks.
  • Skilled in building automated workflows and integrations with Power Automate.
  • Strong knowledge of Power BI including DAX and Power Query functionalities.
  • Familiar with Git-based DevOps processes.
  • Understanding of medallion data architecture principles.
  • Awareness of data governance, security policies, and industry best practices.
  • Experience in supply chain data is advantageous.
  • Certifications like Microsoft Azure Data Fundamentals or Data Engineering are beneficial.
  • Knowledge of Microsoft Dynamics data structures is a plus.
  • Effective communication skills to engage both technical and non-technical stakeholders.

Candidate Profile

  • Adept at solving complex data problems efficiently and creatively.
  • Self-motivated and adaptive to fast-evolving data environments and changing structures.
  • Driven by improving efficiency, automation, and continuous enhancements in data processes.
  • Team-oriented with a commitment to knowledge exchange and collaborative work culture.

Compensation and Benefits

The role offers an annual salary between 85000 and 105000 CAD, exclusive of bonuses and benefits. Final salary is influenced by location, experience, expertise, and education.

  • Eligible for bonus or commission plans.
  • Pension plan eligibility after 18 months of service.
  • Comprehensive health, dental, and vision coverage from the first day of employment.
  • Personal days off.
  • Employee assistance and wellness programs.
  • Professional development opportunities.
  • Vacation pay allocation.
  • Access to exclusive memberships and discounts.

Additional Information

Kohl & Frisch promotes an inclusive recruitment process and provides accommodations for candidates with disabilities during selection. All recruitment decisions will involve human oversight, supported by AI tools for initial screening. Applicants will be informed of interview outcomes within 45 days following application.

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