Marketing analysts who are passionate about bringing rigor to how early-stage businesses measure and optimize acquisition spend from day one will find this role rewarding. The Marketing Analyst will build and own the marketing data infrastructure to support new businesses and companies acquired through M&A, tracking paid advertising performance and translating it into metrics that inform budget allocation and channel strategy.
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
Build, own, and maintain the marketing data infrastructure, from ad impression and click through lead acquisition to revenue, setting up and integrating Google Analytics, Google Ads, and other paid advertising platforms as required
Rapidly assess and integrate the marketing data of newly acquired (M&A) companies, establishing tracking, attribution, and reporting so their acquisition spend is measured with the same rigor as the rest of Toptal
Measure and diagnose paid advertising performance across channels and businesses—analyzing spend efficiency, CAC, funnel conversion, lead value, ROAS, and LTV—to guide budget allocation and channel strategy
Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives, including consistent definitions of LTV, ROAS, and payback across businesses
Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for marketing leaders and business owners
Partner closely with the Business Analyst, New Businesses and the Senior Business Analyst focused on acquisitions to connect marketing performance with revenue, unit economics, and the broader business picture
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.
Leverage Generative AI tools to accelerate analysis and automate reporting workflows
Requirements
Bachelor’s degree
3+ years of experience in data analysis, analytics, or business intelligence, with a focus on marketing analytics
Demonstrated experience analyzing paid advertising performance (e.g., Google Ads and other paid media platforms) and translating it into metrics such as LTV, CAC, and ROAS
Demonstrated experience building or owning marketing data infrastructure (tracking, attribution, data pipelines, and reporting)
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Both a strong background in math, science, finance, engineering, or statistics and deep business insight
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
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
Track record of linking data and analytics to marketing strategy, financial performance, and operations to drive real impact
Working knowledge of probability and statistics
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
Strong technical background particularly when it comes to marketing data infrastructure and Google products (Google Analytics, 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
Must be a world-class individual contributor
Nice to have:
Advanced degrees and/or MBA
Experience with R, Python, or MATLAB
Experience with process improvement
Experience in a startup, early-stage business, or M&A integration environment
Important Details
Work format: remote
About the Company
Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue, Toptal is the world’s largest fully remote workforce. The company takes the best elements of virtual teams and combines them with a support structure that encourages innovation, social interaction, and fun, seeing no borders, moving at a fast pace, and never afraid to break the mold.
