Consumer Portfolio Analytics Manager

$130,000 - $194,000/Yr

Google - New York, NY

Full-time - Mid Level

New York, NY

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About the position

As a Consumer Portfolio Analytics Manager at Google, you will play a crucial role in leveraging user and competitive intelligence to inform marketing strategies. Your primary focus will be on analyzing consumer portfolios, identifying trends, and uncovering market opportunities. By utilizing integrated digital analytics and AI capabilities, you will help shape the understanding of the competitive landscape and drive data-driven decisions that optimize marketing strategies for users. This position is integral to fostering a culture of data-driven decision-making within the organization.

Responsibilities

• Build capabilities on assessing competitors' portfolios, marketing and market positioning to identify opportunities and threats.
• Analyze data across multiple products and user portfolios to identify trends, correlations, and potential synergies.
• Extract meaningful patterns from portfolio data and translate them into actionable insights and recommendations that drive strategic decision-making.
• Collaborate cross-functionally with marketing and other teams to ensure data-informed decision-making.

Requirements

• Bachelor's degree in a research or quantitative field, or equivalent practical experience.
• 5 years of experience leveraging consumer and user digital data sets to translate business problems into research questions and translate research findings and insights into marketing recommendations.
• 5 years of experience designing, scoping, executing, and delivering digital, analytics or data-driven marketing research and analysis projects.
• Experience managing research and measurement agencies, and managing projects with multiple stakeholders and priorities.

Nice-to-haves

• Experience with data visualization tools, analytics platforms and digital marketing platforms.
• Experience creating playbooks and scalable models for new methodologies/analytics tools.
• Experience in machine learning or AI techniques for data analysis.
• Knowledge of marketing strategies and tactics in a digital-first, social-first world.
• Interest in learning new data sets, platform tools and analytics approaches.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development opportunities