MindGeek is looking for a Lead Digital Marketing Specialist in Montréal, Canada. If you meet the requirements below, you are eligible to apply via Digital Marketing Community.

Job Responsibilities:

• Improve and maintain expert Knowledge of all reporting tools (Atlas, Harmony, Adtool, Data Cubes).
• Create ad-hoc and periodic reports in order to communicate data findings and tracking.
• Analyze traffic sources, metrics, and patterns both on PC and on mobile web properties.
• Review and provide quick & efficient troubleshooting for reporting issues.
• Estimate marketing campaigns and report and share data with the team to discuss optimization.
• Plan, direct and monitor optimization and tests ideas to acquire and retain users based on data research.
• Utilize A/B testing and optimization tools to drive revenue, recommend the development of new landing pages, and recommend optimization and improvement ideas for current pages.
• Build a continuous improvement process on how to conduct tests and on evaluating set KPI’s for these tests.
• Oversee industry changes and benchmark the network against online competitors.
• Produce quick and efficient data reporting as requested by Product Manager, Product Director & other team members.
• Be the Go-To person when it comes to data about the network (know your stats in details).

Job Requirements:

• Degree in business/marketing; or applied statistics and mathematics.
• Minimum 3 years of relevant experience.
• Demonstarted understanding of Search Engine Analytics and Google Analytics.
• Strong skills in Microsoft Excel (pivot tables, complex calculations).
• Effective experience with digital marketing campaign optimization, including advertising, User Experience, and landing page optimization.
• Expert knowledge of basic website design and development and work closely with Designer and developer to optimize the website (experience in a scrum and sprint environment would be considered as an asset).
• Sound attention to detail and quality. We want someone who instinctively doubles checks their work before handing it off.
• Solid analytical thinking and a questioning attitude.
• Candidate must be fluent in English.
• Data-driven performance optimization methodologies.