Strategic leader developing and implementing analytics strategies for marketing campaigns at Canvas Worldwide. Crafting data narratives and driving business outcomes for automotive clients.
Responsibilities
Develop and implement analytics strategies to support marketing campaigns and advertising initiatives
Craft compelling data storytelling/ narratives for mid to senior-level stakeholders
Establish measurement frameworks and lead client-specific learning agendas
Identify and prioritize advanced analytics and measurement solutions to drive business outcomes. Including market mix modeling, attribution, forecasting, segmentation, incrementally testing, and other advanced analytical methodologies.
Be visible and regular in providing relevant thought leadership deliverables to clients and key Canvas stakeholders
Translate complex data findings and recommendations to senior leadership and key stakeholders into business impact
Work closely with marketing teams, advertisers, and other stakeholders to understand their needs and provide data-driven solutions.
Drive innovation in data standards, automation tools, and analytics techniques to enhance marketing effectiveness.
Maintain currency and understanding of important industry topics in the marketing analytics field.
Lead, mentor, and grow an analytics team, fostering a collaborative and innovative work environment.
Oversee the collection, analysis, and visualization of data across various platforms to generate actionable insights.
Requirements
A bachelor’s or master’s degree in a relevant field such as business, statistics, economics, or computer science.
10+ years of managerial experience in analytics, preferably in media performance, digital marketing, or a related field. Experience working in the automotive industry is a plus.
Expertise in data analysis, statistical methods, and modeling techniques. Proficiency in BI tools (Tableau, Looker, Power BI), SQL, Python/R, and analytics platforms is a plus.
Proficiency in marketing-specific analytics, including market mix modeling, digital attribution, predictive modeling, and segmentation methods.
Experience with media measurement tools, including 3rd party ad serving, syndicated research, and web analytics (Adobe Analytics, Google Analytics) preferred.
Excellent communication skills to present findings and recommendations to senior management and automotive marketing teams.
Ability to address complex business issues using data and analytics.
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