viralnation
Sr. Analyst, Business Intelligence
At a Glance
- Location
- Canada
- Compensation
- has an annual salary range of $80,000 to $95,000 . This range reflects the ful
- Posted
- 2026-06-24T09:51:18-04:00
Key Requirements
Required Skills
Domain Knowledge
- Marketing
Benefits & Perks
salary, we offer a comprehensive benefits and total rewards package designed to s
Requirements
Proficiency in data analysis tools such as Python, R, SQL, or similar scripting languages.
Experience with marketing analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
Compensation & Benefits
$80,000 to $95,000
.
This range reflects the full scope and progression of the role, from building capability to operating with sustained impact at a higher level. In addition to base salary, we offer a comprehensive benefits and total rewards package designed to support our team as they grow with us.
Where an offer falls within this range is determined through the interview process. Candidates are benchmarked by the hiring team based on role scope, relevant experience, skill alignment, and expected impact, using consistent and objective criteria.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Responsibilities
Lead the development and delivery of strategic reports and insights, translating complex data into actionable recommendations that drive business growth and marketing optimization.
Conduct advanced analysis and modeling using both primary and secondary research methods to uncover trends, opportunities, and performance drivers.
Act as a strategic partner to cross-functional teams, providing data-driven recommendations to support key business initiatives and decision-making.
Develop and optimize sophisticated dashboards and reporting frameworks using BI tools to enable leadership with real-time, actionable insights.
Ensure data governance and compliance, collaborating with technology, product, and data engineering teams to maintain data integrity and regulatory standards.
Drive process improvements and innovation, identifying opportunities to enhance analytical capabilities, streamline workflows, and implement best practices.