Senior Data Analyst (SQL, Power BI, Looker) Full Time

In this role, you will play a key part in transforming complex datasets into clear, actionable insights that drive strategic decisions across large-scale digital and product initiatives. You will collaborate closely with product, engineering, and business stakeholders in a fast-paced, data-driven environment supporting enterprise-level platforms. The position focuses on building robust analytical frameworks, monitoring performance metrics, and delivering high-impact dashboards that guide business outcomes. You will also work on improving data quality, identifying trends, and enabling better forecasting through advanced analytics. This is an opportunity to influence product direction and business strategy through meaningful, high-quality data storytelling. The role is fully remote within Canada and suited for someone who thrives in cross-functional collaboration and analytical problem-solving.

Accountabilities

• Partner with product managers, engineers, and cross-functional stakeholders to identify business challenges and deliver data-driven solutions supporting product and strategic goals.
• Analyze large, complex datasets to extract insights that inform product strategy, user behavior understanding, and business performance optimization.
• Build and maintain dashboards and visual reports using tools such as Power BI and Looker to track KPIs and OKRs across platform initiatives.
• Develop and refine data models and apply statistical techniques to forecast trends and support decision-making.
• Ensure data accuracy and integrity through validation, cleaning, and transformation best practices while resolving inconsistencies in datasets.
• Proactively identify trends, patterns, and opportunities that improve platform performance and business outcomes.
• Communicate analytical findings clearly to both technical and non-technical stakeholders to support informed decision-making.

Requirements

• 5+ years of experience in data analysis, business intelligence, or a related quantitative role.
• Strong proficiency in SQL for querying, transforming, and analyzing large datasets.
• Hands-on experience with Power BI and Looker or similar data visualization tools.
• Solid experience with data warehousing and ELT tools such as Snowflake, Airflow, or dbt.
• Proficiency in Python or R for data analysis, modeling, and statistical work.
• Strong understanding of statistical analysis, data modeling, and analytical methodologies.
• Experience working with cloud platforms such as AWS or Azure.
• Ability to translate complex data into clear, actionable business insights.
• Strong communication skills and ability to present findings to diverse stakeholders.
• Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field (Master’s is an asset).
• Experience in SaaS, product analytics, or large-scale digital platforms is an advantage.

Benefits

• Competitive hourly rate: 62 to 65 CAD per hour
• 100% remote work flexibility within Canada
• Opportunity to work on large-scale, high-impact platform initiatives
• Exposure to modern data stack technologies and enterprise-level analytics environments
• Collaborative, cross-functional work culture with product and engineering teams
• Career growth opportunities in advanced analytics and data strategy domains
• Work on data products influencing strategic decisions in a high-scale environment.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.