Remote Marketing Data Architect

Toptal; Polska; Remote; PLN 311,000 - 466,000; Full time

Job summary

Toptal is seeking a Marketing Analyst to design and own the marketing data infrastructure, supporting new businesses acquired via M&A. You will track paid advertising performance, translate it into metrics like LTV and ROAS, and build data pipelines and reports to guide budget and channel strategy.

You’ll define key metrics, measure campaign performance, develop models, forecast outcomes, run experiments, and deliver insights that tie marketing to revenue and operations.

Qualifications

• Bachelor’s degree required.
• 3+ years of experience in data analysis or analytics with a focus on marketing analytics.
• Experience analyzing paid advertising performance (Google Ads, etc.) and translating it into metrics like LTV, CAC, ROAS.
• Experience building or owning marketing data infrastructure (tracking, attribution, data pipelines, reporting).

Responsibilities

• Analyze data, build models, test hypotheses, forecast performance, and create Tableau reports.
• Build and maintain marketing data infrastructure, integrating Google Analytics, Google Ads, and other platforms.
• Assess and integrate data from newly acquired companies, ensuring consistent attribution and reporting.
• Measure paid advertising performance across channels to guide budget allocation and channel strategy.
• Define and align metrics with company objectives, including LTV and ROAS.
• Develop descriptive and diagnostic analytics to provide actionable recommendations.

Skills

Marketing analytics

SQL

Data modeling

Communication skills

Education

Bachelor’s degree

Tools

Tableau

Google Analytics

Power BI

MATLAB

Job description

Toptal is seeking a Marketing Analyst to design and own the marketing data infrastructure, supporting new businesses acquired via M&A. You will track paid advertising performance, translate it into metrics like LTV and ROAS, and build data pipelines and reports to guide budget and channel strategy.

You’ll define key metrics, measure campaign performance, develop models, forecast outcomes, run experiments, and deliver insights that tie marketing to revenue and operations.