Senior Marketing Analyst, Strategy & Analytics - US-Based

Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. They are looking for a Senior Marketing Analyst to provide crucial insights and recommendations for marketing leaders, specifically focusing on data-driven decision-making across marketing functions including SEM, SEO, and Generative AI channels.

Responsibilities:

• Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts; and extract insights from these data activities to inform marketing decisions
• Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for marketing leaders
• Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives
• Measure and diagnose the performance of SEM, SEO, and Generative AI channels—analyzing spend efficiency, keyword and query performance, organic visibility and share of voice, funnel conversion, and lead value/ROAS—to guide budget allocation and channel strategy
• Map marketing processes and channel journeys to their corresponding data flows across acquisition, engagement, and revenue generation
• Proactively identify and surface opportunities to improve efficiency, conversion, revenue generation, client and talent experience, operations, communication, systems & tools, cash usage, etc
• Work closely with marketing stakeholders, data analysts, and business process owners to empower data-backed decision making, balancing and prioritizing competing requests across teams
• Leverage Generative AI tools (such as Claude, Gemini, and ChatGPT) to accelerate analysis, automate reporting workflows, and evaluate the growing impact of AI-driven search and referral channels on marketing performance
• Build and maintain marketing data infrastructure from lead acquisition to revenue generation, setting up and integrating Google Analytics, Google Search Console, and Google Ads as required

Requirements:

• Bachelor's degree is required
• 5+ years of experience in data analysis, analytics, or business intelligence is required, with a focus on marketing analytics
• 2+ years of experience within general consulting or an analytical operations function is required
• Demonstrated experience analyzing SEM (paid search), SEO (organic search), and Generative AI / AI-driven search channels is required
• Both a strong background in math, science, finance, engineering, or statistics and deep business insight is required
• Experience with BI tools (Tableau, Qlik, PowerBI, etc.)
• Proficiency in SQL
• Hands-on experience using Generative AI tools such as Claude, Gemini, or ChatGPT to support analysis, automation, and reporting
• Track record of linking data and analytics to marketing strategy, financial performance, and operations to drive real impact
• Proven ability to manage diverse stakeholders and balance multiple, conflicting priorities in a fast-moving environment
• Ability to explain complex issues simply and intuitively, and willingness to challenge assumptions, communicate limitations, and flag blind spots
• The ideal candidate needs to have a strong technical background particularly when it comes to marketing data infrastructure and Google products (Google Analytics, Google Search Console, Google Ads) while having the ability to master marketing processes of diverse nature
• Outstanding written and verbal communication skills
• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts
• You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do
• Advanced degrees and/or MBA are a plus
• Experience with R, Python, or MATLAB is a plus
• Experience with exploratory data analysis, prototyping, testing hypotheses, performing root cause analyses, modeling business processes, building forecasts, creating predictive models, defining metrics, and/or measuring marketing performance
• Working knowledge of probability and statistics, experience with process improvement is a plus