Viralnation
Sr. Analyst, Business Intelligence
Canada · Senior
Sponsorship not specified$80k-$95kDetected 28 days ago
PythonSQLGCPCloud PlatformsData AnalysisData EngineeringData VisualizationStatisticsMarketing AnalyticsGoogle AnalyticsPerformance ManagementResearchLeadershipCommunicationProblem SolvingMentoring
About the role
- Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world's fastest-growing digital brands.
- While we continuously exceed our goals, we need your help - our success is only as great as our people.
- The Senior Analyst will play a pivotal role in driving marketing strategies, optimizing campaign performance, and maximizing ROI through advanced analytics and insights generation.
Responsibilities
- Lead the development and delivery of strategic reports and insights, translating complex data into actionable recommendations that drive business growth and marketing optimization.
- 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.
- Manage and consolidate data from diverse sources, ensuring comprehensive and high-quality inputs for business analysis and strategic planning.
- Lead stakeholder engagements, effectively communicating insights, recommendations, and complex data concepts to non-technical audiences at various organizational levels.
- Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
- This range reflects the full scope and progression of the role, from building capability to operating with sustained impact at a higher level.
Requirements
- Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward.
- 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.
Nice to have
- Master's degree preferred.
- 5+ years of experience in marketing analytics, data analysis, or related roles.
- Marketing agency work experience preferred.
- Bachelor's degree in Business Administration, Marketing, Statistics, Economics, Business Analytics, or a related field
- Experience with DSPs, Paid Media, and social media platforms preferred.
- Experience in executing brand tracking and Brand Lift research preferred.
- Experience in Google Cloud Platforms and BI tools such as Looker and Looker Studio preferred.
Skills
- Viral Nation does not use AI-enabled tools to screen, assess, rank, or select candidates - our hiring teams make all hiring decisions.
- AI note-taking tools may be used during interviews.
Compensation
- progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone.
- Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
- Bachelor's degree in Business Administration, Marketing, Statistics, Economics, Business Analytics, or a related field; Master's degree preferred.
- 5+ years of experience in marketing analytics, data analysis, or related roles. Marketing agency work experience preferred.
- Experience with DSPs, Paid Media, and social media platforms preferred.
- Experience in executing brand tracking and Brand Lift research preferred.
Benefits
- Viral Nation is committed to diversity, equity and inclusion in our agency.
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This listing is sourced directly from Viralnation's careers page and normalized into a canonical job model.