Senior Data Analyst – Business Intelligence (Hybrid, Montréal) | Visa + Salary Insights

📍 Location: ca

🏷 Type: Not specified

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Job Overview

The Senior Data Analyst – Business Intelligence role at UAP Inc. in Montréal is a high-impact analytics position focused on strengthening enterprise-wide data-driven decision-making. The company operates in the automotive and heavy vehicle parts distribution industry, serving a national Canadian network with strong legacy operations and modern digital transformation goals. This role is ideal for an experienced analytics professional who thrives in complex data ecosystems, especially within finance and corporate environments. The candidate will act as a strategic partner, translating business challenges into scalable BI solutions using Power BI, SQL, Google BigQuery, and Python, while supporting AI-assisted analytics modernization.

📅 Job Timeline & Status

This appears to be an active mid-cycle hiring process, meaning applications are currently being reviewed but the role is not yet closed. Given the seniority level and hybrid corporate structure, competition is expected to be moderate to high. Candidates with strong Power BI architecture and advanced SQL modeling should apply immediately, as enterprise BI roles in Canadian finance-related divisions often close once sufficient qualified pipelines are reached.

🌍 Work Eligibility & Location

This role is primarily based in Montréal with a Hybrid work model. While international applicants may be considered, the absence of explicit visa sponsorship means priority is likely given to candidates already authorized to work in Canada. Strong bilingual capability (English/French) significantly increases selection probability.

💰 Salary Intelligence

This is a competitive Senior-Level BI role in the Canadian corporate analytics market. Given the requirement for advanced Power BI architecture, SQL optimization, and Python-based automation, compensation aligns with mid-to-high senior analytics benchmarks in Montréal. Candidates with strong cloud data experience (especially BigQuery) may command offers at the upper end of the range.

📊 Role Breakdown

This role centers on transforming enterprise data into actionable insights across finance and operations. You will build and maintain scalable BI systems using Power BI, designing robust star schema models that support enterprise reporting. A significant portion of the role involves writing optimized SQL queries and managing datasets in Google BigQuery, ensuring performance and data integrity across large-scale systems. You will also use Python for automation, predictive analysis, and workflow optimization.

Beyond technical execution, you will act as a strategic analytics partner, translating business requirements into dashboards, KPIs, and semantic models. Expect to spend roughly 40%–50% of your time on data modeling and engineering, 30%–40% on stakeholder collaboration and BI solution design, and the remaining 10%–20% on documentation, governance, and optimization. This is a role where technical depth directly influences executive decision-making.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a technically demanding role requiring deep mastery of BI ecosystems. The combination of Power BI architecture, BigQuery optimization, and Python automation creates a high entry barrier. Expect strong competition from experienced data professionals across Canada, particularly those transitioning from data engineering or analytics engineering roles.

🚀 Career Impact

This role provides strong long-term career leverage, especially for professionals targeting progression into BI Architecture or Data Leadership. Exposure to enterprise-scale data systems and AI-assisted analytics workflows significantly enhances future employability in both North American and global markets.

📋 Key Responsibilities

You will develop and maintain enterprise dashboards using Power BI, ensuring scalable and efficient reporting systems. A core responsibility is designing semantic data models and optimizing SQL-based data pipelines for performance and accuracy. You will work extensively with Google BigQuery to manage and transform large datasets.

Additionally, you will apply Python to automate analytical workflows and enhance reporting efficiency. Collaboration with stakeholders is critical, as you will translate business requirements into structured KPIs and dashboards. You will also define BI standards, enforce documentation practices, and support governance frameworks to ensure long-term sustainability of analytics systems.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring momentum appears stable with ongoing review cycles typical of enterprise BI recruitment. Competition is expected to be high, particularly from senior analysts and BI engineers. Since no formal deadline is listed, the role may close without notice once sufficient candidates are shortlisted. Interview cycles are likely to be moderately fast (2–3 rounds), with response times varying based on internal stakeholder availability.

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✅ Job Source & Verification

This listing is based on a corporate posting from UAP Inc., a well-established Canadian enterprise. Information has been structured from the original job description and industry-standard BI role benchmarks. Source credibility is high given direct employer origin. Last updated: May 11, 2026. Always verify final details on the official UAP recruitment page before applying.