Lead Marketing Analyst

About the Role

This opportunity is offered through a partner organization seeking a Lead Marketing Analyst based in Canada. The role involves leading complex marketing analytics initiatives within a large, data-driven, and international enterprise. You will transform detailed marketing data into strategic insights that propel business growth and enhance campaign success. Your responsibilities encompass advanced analytics, experimentation, predictive modeling, and performance measurement to empower informed decisions.

Working closely with cross-functional teams, you'll improve marketing efficiency, automate reporting mechanisms, and build scalable analytical frameworks. You will have considerable ownership of the analytics lifecycle while shaping strategic marketing initiatives across diverse markets. This remote-first role values innovation, ongoing learning, and analytical excellence, appealing to experienced marketing analysts who enjoy solving business challenges through data-driven experimentation.

Accountabilities

• Oversee marketing analytics operations, including reporting frameworks, dashboards, and maintain high data quality standards.
• Track critical marketing and business performance metrics to uncover trends, risks, and new growth avenues.
• Perform root cause analyses and deliver data-backed recommendations to enhance marketing effectiveness.
• Design, prioritize, and evaluate A/B tests and other marketing experiments targeting acquisition, retention, and engagement.
• Develop and refine predictive models for attribution, forecasting, customer segmentation, and budget distribution.
• Continuously optimize analytical workflows through automation and process improvements.
• Advance marketing measurement strategies and establish analytics best practices.
• Partner with stakeholders across functions to translate business questions into analytical solutions aligned with strategic goals.

Required Qualifications

• Academic background in mathematics, statistics, economics, computer science, or another quantitative field.
• Expertise in SQL for data querying, analysis, and reporting.
• Strong advanced knowledge of Google Sheets, including pivot tables and complex data handling.
• Comprehensive grasp of statistics, experimental design, and A/B testing methodologies.
• Proven track record in marketing analytics and predictive modeling techniques.
• Excellent analytical reasoning and problem-solving skills with a focus on business impact.
• English language proficiency at a minimum B2 level.

Preferred Skills

• Experience using Python or R for statistical analyses and data modeling.
• Hands-on experience building automated reports and analytic workflows.
• Familiarity with marketing experimentation frameworks and incrementality measurement.
• Knowledge of attribution models, paid acquisition channels, and platforms like Google Ads and Meta Ads.

Employee Benefits

• Full-time position with fully remote work setup.
• Annual 7 additional wellness days for personal well-being.
• Employee referral program with rewards up to $5,000.
• Company-funded professional training, certifications, conferences, and industry events.
• Discounts on corporate English language courses.
• Healthcare support including reimbursement options for medical expenses or health insurance where applicable.
• Financial support for home office setup or coworking spaces to foster productivity.
• Provision of required work equipment and workplace assistance depending on location.
• Internal recognition program featuring rewards, extra time off, merchandise, and team activities.
• A collaborative and diverse global remote working environment.

Additional Information

The partner company handles all applications and follow-up procedures directly. This job attracts applicants with a passion for data-driven marketing solutions and who are eager to contribute to a global analytics-driven business. The recruitment process harnesses AI tools to aid application review ensuring a fair and unbiased candidate selection process, though final hiring decisions rest with human recruiters.

Applicants acknowledge that their personal data will be processed for recruitment purposes in compliance with data protection regulations including GDPR.