About The Position

Toptal is seeking a Senior Marketing Analyst to join its Business Analytics Center of Excellence. This role will provide critical insights and recommendations to marketing leaders, focusing on paid search (SEM), organic search (SEO), and Generative AI channels. The analyst will be responsible for structuring data infrastructure, developing reports for data-driven decision-making, and acting as a strategic advisor. Key activities include using data to define metrics, measure performance, build models, forecast outcomes, run experiments, and conduct in-depth analysis. The role requires understanding the business context, connecting data analysis to marketing strategy and financial performance, and building relationships with diverse stakeholders. This is a remote position, and resumes/communication must be in English.

Requirements

  • Bachelor's degree required.
  • 5+ years of experience in data analysis, analytics, or business intelligence, with a focus on marketing analytics.
  • 2+ years of experience within general consulting or an analytical operations function.
  • Demonstrated experience analyzing SEM (paid search), SEO (organic search), and Generative AI / AI-driven search channels.
  • Strong background in math, science, finance, engineering, or statistics, combined with 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.
  • 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 in marketing data infrastructure and Google products (Google Analytics, Google Search Console, Google Ads).
  • 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 Haves

  • Advanced degrees and/or MBA are a plus.
  • Experience with R, Python, or MATLAB is a plus.
  • Working knowledge of probability and statistics.
  • Experience with process improvement is a plus.
  • Ability to master marketing processes of diverse nature.

Responsibilities

  • Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts to inform marketing decisions.
  • Use descriptive and diagnostic analytics to provide specific, actionable recommendations for marketing leaders.
  • Define metrics that are independent, holistic, accurate, encourage the right behaviors, and align with company strategy.
  • Measure and diagnose the performance of SEM, SEO, and Generative AI channels, analyzing spend efficiency, keyword/query performance, organic visibility, 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, and cash usage.
  • Work closely with marketing stakeholders, data analysts, and business process owners to empower data-backed decision making, balancing and prioritizing competing requests.
  • Leverage Generative AI tools (e.g., Claude, Gemini, ChatGPT) to accelerate analysis, automate reporting workflows, and evaluate the impact of AI-driven 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.
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