Senior Marketing Data Analyst
 | Finbee

About Finbee

Interested in FinTech?

Finbee is one of the leading peer-to-peer (P2P) lending and crowdfunding platforms in Lithuania, connecting people who want to borrow for personal needs or business purposes with investors looking to put their money to work and earn returns. We are the No. 1 peer-to-peer lending platform by the total value of loans issued in 2025. This year, the Finbee group of companies secured an investment from Tesonet.

Customer trust and Finbee’s growth are driven by a team of more than 70 professionals, where we value respect, openness, and clear goals.

As we continue to grow, we are strengthening our marketing team and looking for someone who will help us make data-driven decisions and maximize marketing potential.

What Will You Do

• Transform marketing data into insights that enable precise decisions on investment allocation and growth direction. Hybrid role: Data + Performance + Strategy + Attribution

• Analyze the performance of marketing channels (Google Ads, Meta, ATL/BTL, web, CRM)

• Provide insights and recommendations that directly influence budget allocation and campaign direction

• Build dashboards and reports that are actually used for decision-making

• Develop and improve marketing measurement and attribution logic (tracking, UTM structure, data architecture)

• Integrate different data sources into a unified analytical model

• Work with GA4, Power BI, HubSpot (or similar tools)

• Initiate hypotheses and contribute to testing (A/B tests, campaign optimization)

• Help answer key business questions: Where should we invest more? Where are we wasting budget? What actually drives value?

What We Expect

• 3+ years of experience in marketing or performance data analysis

• Ability to turn data into clear decisions and business recommendations

• Experience with GA4 and BI tools, as well as CRM systems

• Understanding of attribution, funnel analysis, and marketing performance measurement

• Ability to work with multiple data sources and structure them effectively

• Strong logical thinking and ability to structure information clearly

• Curiosity and willingness to ask questions (even uncomfortable ones)

• Goal-oriented mindset and approach

• Nice to have: Experience in fintech, e-commerce, or SaaS, basic knowledge of SQL, Python, or R, experience with experimentation (A/B testing), knowledge of data visualization best practices, familiarity with AI tools

What We Offer

• The opportunity to work remotely or in a hybrid model (based on your preference), health insurance, and many additional benefits through the MELP platform

• Opportunities for growth. We are a curious, ambitious, and fast-growing organization where you’ll be able to learn and develop

• As results grow, so do rewards, new opportunities, and experiences

• We value work-life balance.