Manager, Marketing and Media Analytics

Tiffany & Co.•New York, NY

About The Position

We are seeking a highly analytical and data-driven ‘Manager, Marketing and Media Analytics’ to optimize our marketing effectiveness and campaign performance. This role involves collecting, analyzing, and interpreting marketing and media data to provide actionable insights and drive strategic decision-making. The ideal candidate will blend technical expertise, business acumen, and strong communication skills to translate complex data into clear recommendations. This position reports to the VP of Global Media and is responsible for managing the development, maintenance, analysis, and budgets across all regions, utilizing data visualization and storytelling. The role will also be responsible for maintaining media dashboards leveraged for Senior Leadership team.

Requirements

Bachelor’s degree in a quantitative field (e.g., Marketing, Business, Statistics, Economics, Computer Science) with 8+ years of experience in marketing or media analytics.
Proven expertise in data analysis, interpretation, and reporting, coupled with a strong understanding of digital marketing channels, advertising platforms, and performance metrics.
Excellent analytical, problem-solving, and detail-oriented skills.
Proficiency in Microsoft Excel (advanced functions, pivot tables) and experience with marketing analytics platforms (e.g., Google Analytics), data visualization tools (e.g., Power BI, Google Data Studio), and ad platform analytics (e.g., Google Ads, Facebook Ads Manager, LinkedIn Campaign Manager).
Strong communication and presentation skills, with the ability to articulate complex data insights to non-technical audiences.
Ability to work independently and collaboratively in a fast-paced environment

Nice To Haves

experience in luxury brands
digital/social/emerging technologies
managing media budgets
global environments

Responsibilities

Data Management and Modeling: Liaise with multifunctional teams (Tiffany, LVMH) to identify sophisticated modeling opportunities (e.g., attribution, lifetime value, predictive analytics, MMM, segmentation).
Collect and integrate data from various platforms (e.g., Total marketing tracker, Google Analytics, social media, ad platforms, CRM, email, website analytics, internal/external dashboards).
Maintain data accuracy, consistency, and integrity.
Develop and maintain data dashboards and reports for marketing and media campaign KPIs.
Performance Analysis and Insight Generation: Analyze marketing and media campaign performance, identifying trends and anomalies.
Conduct in-depth analysis of audience behavior, campaign effectiveness, and conversion funnels.
Evaluate the ROI of marketing channels and initiatives.
Analyze total marketing and media spend by market, by collection to ensure sufficiency and appropriate support of collections globally
Translate complex data into clear, actionable insights and strategic recommendations.
Ensure regional and global marketing teams deliver actionable, high-quality insights for strategic decisions and ROI optimization.
Strategic Development and Optimization: Develop and implement the overall marketing and media analytics strategy aligned with business objectives.
Collaborate with marketing managers to define measurable campaign goals.
Identify optimization opportunities across all marketing and media channels.
Contribute to marketing strategies based on data-driven insights.
Stay updated on industry trends, best practices, and emerging technologies in marketing analytics.
Stakeholder Collaboration, Communication, and Tooling: Act as a key contributor to marketing leadership, product teams, and executive management.
Communicate complex analytical findings and strategic recommendations to non-technical stakeholders, influencing decision-making.
Collaborate with IT and data engineering to ensure robust data infrastructure.
Prepare regular and ad-hoc reports and presentations outlining performance, insights, and recommendations.
Present findings to various audiences, including marketing leadership, product teams, and sales.
Proficiency in marketing analytics platforms (e.g., Google Analytics), data visualization tools (e.g., Power BI, Google Data Studio), and familiarity with ad platform analytics (e.g., Google Ads, Facebook Ads Manager, LinkedIn Campaign Manager).