Marketing Data Analyst — M&A & New Ventures

Toptal; Lisboa; Remote; EUR 32,000 - 52,000; Full time

Job summary

Toptal is seeking a Marketing Analyst to design and own the marketing data infrastructure supporting new businesses acquired through M&A. You will track paid advertising performance and translate it into LTV and ROAS, informing budget decisions across channels, from data pipelines to executive dashboards.

The role requires building models, forecasting outcomes, running experiments, and delivering insights that connect paid acquisition data with revenue and operations.

Qualifications

• Bachelor’s degree is required.
• 3+ years in data analytics or BI with a marketing focus.
• Experience translating paid ads metrics into LTV, CAC, ROAS.
• Experience building marketing data infrastructure and reporting.
• Strong math/science/finance/engineering/statistics background; MBA a plus.
• Experience with BI tools like Tableau, Qlik, PowerBI.
• Proficiency in SQL; Python or MATLAB is a plus.

Responsibilities

• Analyze data, build models, test hypotheses, forecast performance, create Tableau reports, and write SQL scripts.
• Build, own, and maintain the marketing data infrastructure from ad assets to revenue.
• Integrate data for newly acquired companies, establishing tracking and attribution.
• Measure paid advertising, CAC, funnel conversion, ROAS, and LTV to guide budgets.
• Define independent, holistic metrics aligned with company strategy and objectives.
• Use descriptive and diagnostic analytics to inform recommendations for leaders.
• Collaborate with analysts to connect marketing performance with revenue and operations.
• Map marketing processes to data flows and surface efficiency opportunities.
• Leverage Generative AI to accelerate analysis and automated reporting.

Skills

Marketing analytics

Data storytelling

Cross-functional collaboration

Education

Bachelor’s degree

Tools

Google Analytics

Google Ads

SQL

Python

R

Tableau

Power BI

Job description

Toptal is seeking a Marketing Analyst to design and own the marketing data infrastructure supporting new businesses acquired through M&A. You will track paid advertising performance and translate it into LTV and ROAS, informing budget decisions across channels, from data pipelines to executive dashboards.

The role requires building models, forecasting outcomes, running experiments, and delivering insights that connect paid acquisition data with revenue and operations.