Marketing Analyst – New Business and M&A

Toptal

. Build and own the marketing data infrastructure supporting new businesses and companies acquired through M&A .

Posted 10/8/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and managing marketing data infrastructure, including tracking, attribution, and reporting. Proficient in data analysis and translating marketing performance metrics such as LTV, CAC, and ROAS into actionable insights for strategic decision-making.

Highest-signal resume keywords

Marketing Data Infrastructure ManagementSQL ProficiencyExperience with BI ToolsPaid Advertising Performance AnalysisGenerative AI Tools Utilization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisMarketing AnalyticsForecastingRoot Cause AnalysisHypothesis TestingProcess ModelingPredictive ModelingMetric DefinitionExploratory Data AnalysisStatistical Analysis

Soft Skills

Outstanding Communication SkillsStakeholder ManagementProblem-SolvingAdaptabilityCollaboration

Tools & Technologies

Google AnalyticsGoogle AdsTableauQlikPowerBIGenerative AI Tools

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

LTVCACROASM&AMarketing Performance MeasurementData PipelinesAttributionPaid AdvertisingBusiness IntelligenceMarketing Strategy

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Build and own the marketing data infrastructure supporting new businesses and companies acquired through M&A
Track paid advertising performance and translate it into LTV, ROAS, CAC, funnel conversion, and lead value metrics
Analyze data, build models, test hypotheses, identify root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts
Set up and integrate Google Analytics, Google Ads, and other paid advertising platforms
Rapidly assess and integrate marketing data for newly acquired companies, establishing tracking, attribution, and reporting
Define consistent, accurate, and strategically aligned metrics across businesses
Develop actionable descriptive and diagnostic analytics recommendations for marketing leaders and business owners
Partner with the Business Analyst, New Businesses and Senior Business Analyst focused on acquisitions
Map marketing processes and channel journeys to data flows across acquisition, engagement, and revenue generation
Identify opportunities to improve efficiency, conversion, revenue, client and talent experience, operations, systems, tools, communication, and cash usage
Use Generative AI tools to accelerate analysis and automate reporting workflows
Onboard into Toptal and learn its history, culture, and vision
Shadow key teams to understand new businesses and paid acquisition channels
Assess tracking, attribution, metrics, reports, dashboards, and models, identifying gaps and discrepancies
Support business leaders with paid performance insights and reports for leadership meetings
Deliver initial marketing data infrastructure and ROAS/LTV reporting for new businesses
Standardize LTV, ROAS, and other metric definitions across new businesses and Toptal
Perform detailed root cause analysis and establish a repeatable marketing data onboarding playbook
Inform strategic initiatives, goals, priorities, performance indicators, budget allocation, and channel strategy
Help build the marketing analytics function for new businesses and M&A

Requirements

What you’ll need

Bachelor’s degree is required
3+ years of experience in data analysis, analytics, or business intelligence, with a focus on marketing analytics
Experience analyzing paid advertising performance and translating it into LTV, CAC, and ROAS metrics
Experience building or owning marketing data infrastructure, including tracking, attribution, data pipelines, and reporting
Strong background in math, science, finance, engineering, or statistics and deep business insight
Experience with BI tools such as Tableau, Qlik, or PowerBI
Proficiency in SQL
Hands-on experience using Generative AI tools such as Claude, Gemini, or ChatGPT for analysis, automation, and reporting
Experience with exploratory data analysis, prototyping, hypothesis testing, root cause analysis, process modeling, forecasting, predictive modeling, metric definition, and marketing performance measurement
Track record of connecting data and analytics to marketing strategy, financial performance, and operations
Working knowledge of probability and statistics
Ability to manage diverse stakeholders and conflicting priorities in a fast-moving environment
Ability to explain complex issues simply and intuitively, challenge assumptions, communicate limitations, and flag blind spots
Strong technical background in marketing data infrastructure and Google products, particularly Google Analytics and Google Ads
Outstanding written and verbal communication skills
Ability to work in a fast-paced, rapidly growing company and manage varied challenges, deadlines, and contacts
Must be a world-class individual contributor
Resumes and communication must be submitted in English
No visa sponsorship or assistance is offered

Benefits

Comp & perks

Fully remote work environment
Support structure encouraging innovation, social interaction, and fun
Work with a global team and fully remote workforce
Opportunity to work on new businesses and M&A integrations
Professional development through onboarding, shadowing teams, and exposure to diverse businesses
Opportunity to influence strategic initiatives, budget allocation, channel strategy, and marketing analytics capabilities