Senior Data Analyst

Role Overview

This opportunity is being shared on behalf of a partner employer, which handles the application review and all subsequent hiring steps. The partner company is hiring a Senior Data Analyst in Canada.

In this role, you will connect business goals with advanced analytical work by converting complex datasets into practical insights that support decision-making. You will contribute to the creation and upkeep of dashboards, reporting systems, and data visualizations used to track business performance. A key part of the job is turning business needs into technical specifications and building analytics solutions that are dependable, scalable, and easy to reuse. You will partner with teams across the organization to uncover trends, streamline reporting workflows, and improve access to data. The position also requires strong data storytelling skills so stakeholders can quickly grasp the meaning behind the numbers. This is a collaborative, high-impact environment where your work will directly influence operational and strategic choices.

Accountabilities

• Build, update, and support interactive dashboards, reports, and visualization tools that help teams make informed decisions.
• Work with large datasets by extracting, cleaning, transforming, and analyzing information to surface trends and useful insights.
• Convert business needs into technical requirements and make sure analytics outputs align with those expectations.
• Partner with data, analytics, and business stakeholders to improve reporting tools, user experience, and process automation.
• Refine existing visualization solutions so they remain consistent, scalable, and easy to reproduce.
• Record data processes, workflows, and systems to strengthen governance and improve operational efficiency.
• Provide guidance and training to non-technical users so they can use reporting tools and self-service analytics effectively.

Requirements

• 4 to 6 years of experience in data analysis, business intelligence, or a similar analytical function.
• Postsecondary education in a relevant field such as data analytics, statistics, or computer science, or equivalent practical experience.
• Strong hands-on experience with data visualization, dashboard creation, and reporting platforms.
• Solid capability in extracting, cleaning, and transforming data for analysis.
• Ability to turn complex datasets into clear, engaging insights and narratives.
• Strong analytical judgment, troubleshooting ability, and decision-making skills.
• Excellent written and verbal communication skills, with the ability to work effectively across functions.
• Comfortable working independently on complex analytical work in a fast-moving environment.

Benefits

• Competitive pay range of $56,000 to $103,500, based on experience, skills, and location.
• Performance-linked bonuses and possible discretionary rewards.
• Broad insurance coverage including health, dental, accident, and life protection.
• Access to retirement savings and pension plan options.
• Tuition reimbursement plus ongoing learning and development support.
• Flexible working arrangements with remote work available.
• Supportive, inclusive culture with an emphasis on growth and career progression.

Application and Hiring Process

This role is managed by the partner company, which oversees application review, interviews, assessments, and all final hiring decisions. A matching process may be used to identify candidates whose experience most closely aligns with the core requirements.

Data Privacy and AI Notice

By applying, you consent to the processing of your personal data for candidacy evaluation and sharing relevant details with the employer, in line with applicable data protection laws. You may request access, correction, deletion, or objection regarding your data at any time.

Artificial intelligence tools may be used to support parts of the recruitment workflow, including resume review, application analysis, and identification of potential inconsistencies or verification signals. These tools assist recruiters but do not replace human judgment, and final hiring decisions are made by people.