Responsibilities

• Drive Measurement and Insights : Analyze marketing campaign and audience performance, identify patterns and opportunities, and turn complex data into sharp strategic insights and clear recommendations.
• Build and Test with Emerging Technology : Experiment with AI, automation, and other emerging capabilities, rapidly testing where they can create meaningful business value and translating successful experiments into scalable solutions.
• Build AI-Enabled Measurement and Reporting : Design, build, and deliver automated, AI-enabled dashboards and reporting solutions that bring together disparate data sources, surface insights and trends, and reduce manual analysis. Continuously identify opportunities to make reporting more intelligent, digestible, and actionable.
• Partner across Functions : Work closely with strategy, paid media, web, social, design, and external partners to develop and scale new capabilities, while building and maintaining trust among partners.
• Execute with Precision : Take ownership, move quickly, and maintain an exceptionally high bar for quality and attention to detail — from initial thinking through final delivery.

Requirements

• 3–5 years of experience in marketing analytics, measurement, strategy, data/analytics consulting, marketing technology or a related field.
• Exceptional analytical and structured problem-solving skills, with an instinct for getting to the underlying question rather than simply reporting the data.
• Genuine enthusiasm for AI and emerging technology, demonstrated through hands-on experimentation, curiosity and a desire to continuously learn.
• Experience evaluating paid media measurement, web and digital analytics, SEO/AI search, social listening, brand lift studies or quantitative research and survey methodologies.
• Experience using measurement platforms (e.g. DCM, SA360, Adobe, Google Analytics, Vivvix Media Radar, Sprinklr, BrightEdge, etc.).
• Technical fluency or willingness to learn SQL, Python, BI/visualization platforms, APIs and/or AI/LLM tools; deep engineering expertise is not required.
• Strong client service instincts and the ability to build credibility and productive relationships with both technical and non-technical stakeholders.
• Excellent written, verbal, and presentation skills, with the ability to translate complicated ideas and topics into clear insights and takeaways.
• Strong ownership mentality, unmatched work ethic, and exceptional attention to detail, with the ability to thrive in a fast-moving environment.

Benefits

• Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .