Location: Montreal
Here are some reasons why employees love working at this Aviation and Aerospace Technology Company:
- Meaningful work that promotes professional development
- Opportunity to thrive in the tech industry
- Collaborative work environment
- Being part of a high-performing team
Passionate about your field? Looking for a work environment where you can meet challenges, innovate, use state-of-the-art tools and collaborate with experts from various sectors? Want to join a world‑class company and industry leader and be proud to contribute to our projects and mission? Come join our team and share your passion with us!
Key Responsibilities:
- Collaborate with stakeholders to understand business needs and define key performance indicators (KPIs).
- Analyze complex datasets using coding languages such as SQL, Spark, Python.
- Develop and maintain Power BI dashboards and visualizations to communicate insights effectively.
- Translate data findings into actionable recommendations through compelling storytelling.
- Work closely with cross-functional teams to ensure alignment between business goals and data strategies.
- Identify opportunities for process improvement and implement innovative solutions.
- Compile, clean, and organize datasets to support accurate analytics and reporting needs.
- Design and maintain efficient data models to enable seamless integration and analysis across systems.
- Ensure high-quality data delivery and accurate reporting for informed decision-making.
Qualifications:
- Demonstrate familiarity with data engineering tools, concepts, and pipeline development processes (Azure, fabric, purview, etc.)
- Ability Manage multiple projects simultaneously, balancing tight deadlines with high-visibility deliverables for executives.
- Develop efficient and scalable data models and analytics solutions, particularly in Power BI.
- Proficiency in coding languages (Python, Spark, SQL, DAX etc.).
- Good expertise in Power BI for data visualization and dashboard creation.
- Excellent communication skills with the ability to convey complex data insights to non-technical audiences.
- Analytical mindset with a passion for problem-solving.
- Bachelor's degree in Business, Data Science, or a related field (or equivalent experience).
- Experience with the following tools an asset : Fabric
Skills Matrix - Top 3 Must Have Skills
- Data Analysis & Visualization: Expertise in analyzing complex datasets and creating impactful dashboards using Power BI and advanced visualization techniques.
- Data Modeling & Engineering Concepts: Strong ability to design efficient, scalable data models and familiarity with data engineering tools and pipelines (Azure, Fabric, Purview).
- Stakeholder Collaboration & Communication: Skilled at translating technical insights into actionable business recommendations and presenting them clearly to non-technical audiences.
Skills Matrix - Top 3 Nice to Have Skills
- Technical Proficiency: Advanced skills in SQL, Python, Spark, DAX, and Power BI for analytics and reporting.
- Analytical & Problem-Solving Mindset: Ability to identify trends, optimize processes, and deliver innovative solutions under tight deadlines.
- Business Acumen & Storytelling: Capability to align data strategies with business goals and communicate insights through compelling narratives.
