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Senior Marketing Analyst, Strategy & Analytics

Toptal

Senior Marketing Analyst at Toptal leveraging data to deliver insights for marketing strategy and performance improvement. Collaborating across teams, optimizing and analyzing SEM, SEO, and AI marketing channels.

Posted 7/3/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and marketing analytics, leveraging tools like SQL and Tableau to drive actionable insights and optimize marketing performance. Proficient in utilizing Generative AI tools to enhance analysis and reporting workflows while managing diverse stakeholder needs in a fast-paced environment.

Highest-signal resume keywords

Data AnalysisMarketing AnalyticsSQL ProficiencyGenerative AI ToolsBusiness Intelligence Tools

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLTableauSEM AnalysisSEO AnalysisGenerative AIPredictive ModelingRoot Cause AnalysisForecastingMetrics Definition

Soft Skills

Communication SkillsStakeholder ManagementProblem-SolvingPrioritizationCollaboration

Tools & Technologies

Google AnalyticsGoogle Search ConsoleGoogle AdsQlikPowerBI

Certifications & Qualifications

Bachelor's DegreeAdvanced Degree or MBA (Preferred)

Industry Keywords

Marketing StrategyData-Driven Decision MakingProcess ImprovementExploratory Data AnalysisPerformance Measurement

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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; advanced degrees and/or MBA are a plus.
Experience with BI tools (Tableau, Qlik, PowerBI, etc.).
Proficiency in SQL; experience with R, Python, or MATLAB is a plus.
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, experience with process improvement is a plus.
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.
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.

Benefits

Comp & perks

Participation in a 401(k) retirement plan
Medical, dental, and vision health insurance plans
Basic life insurance coverage and short-term and long-term disability coverage
Access to flexible spending, dependent care, and health savings accounts
Access to telehealth virtual doctors
An employee assistance program
Flexible paid time off

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Requirements

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