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
Onboard and integrate into Toptal, quickly learning about Toptal’s history, culture, and vision
Shadow key teams to learn the core of the marketing organization and its channels
Understand the data generated through marketing operations and activities and where/how that data is stored–especially as it relates to our team
Obtain a basic understanding of the assigned marketing function and its operations across SEM, SEO, and Generative AI channels
Assess the current state of performance metrics, reports, dashboards, models, and analyses used, and identify discrepancies and areas for improvement
Begin supporting the function leader with relevant insights and reports for leadership meetings
Develop a proficiency of the data elements of the function and obtain a robust understanding of critical marketing processes
Gain an understanding and ability to assess the drivers and impacts of marketing decisions on financial performance
Begin identifying new opportunities to explore in the quest to improve performance continually, while exercising discretion and independent judgment
Begin to solve real business problems as a team that will move the needle on key marketing performance metrics and financial performance
Help us align and standardize metric definitions across the company
Perform detailed root cause analysis to expose critical drivers of channel performance
Inform significant strategic initiatives, goals, priorities, and performance indicators
Become an expert both on marketing process and data flow, and assist in building a new outstanding marketing analytics function
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
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