viralnation
Analyst, Business Intelligence
At a Glance
- Location
- Canada
- Compensation
- has an annual salary range of $65,000 to $80,000 . This range reflects the ful
- Posted
- 2026-06-24T09:44:03-04:00
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
$65,000 to $80,000
.
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
Generate timely and accurate reports to communicate key findings, insights, and performance metrics to stakeholders using both primary and secondary research methods.
Generate actionable insights and recommendations to enhance marketing strategies and drive business growth.
Conduct secondary research to support Strategy proposals with data-backed insights
Develop customized dashboards and presentations using BI tools to facilitate data-driven decision-making.
Manage and maintain marketing databases, ensuring data accuracy, integrity, and compliance with regulatory standards in collaboration with tech, product, and data engineering teams.
Gather and consolidate data from diverse sources to ensure the team has all necessary information required for accurate analysis.