Marketing Data Analyst

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MD Finance

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📣 Marketing

💳 Fintech

Consulting • Marketing • Fintech

MD Finance is a Cyprus-headquartered fintech company that builds fast, easy-to-use non-banking loan and financial products for consumers and businesses across Europe and Latin America. Since 2015 it has managed millions of credit applications via an AI-powered platform, combining risk assessment, collections, and marketing expertise with machine learning to deliver simple consumer and business loan solutions. The company operates globally with about 80 team members and focuses on rapid, low-friction lending experiences.

📋 Description

• Own the end-to-end marketing data flow, including ingestion, transformation logic, data cleanup, quality assurance, dashboarding, analysis, and documentation • Create and maintain a single source of truth for marketing decisions, connecting campaign performance, customer quality, funnel results, and business outcomes • Set up and maintain offline conversion uploads to Google, Meta, and other advertising platforms so campaigns can optimize toward verified business results • Own affiliate measurement, including postback API setup, conversion tracking, and complete reporting on leads, applications, approvals, new deals, repayments, and payouts • Collect and structure marketing costs across all channels, with accurate CAC, ROI, and ROMI reporting by campaign, source, partner, keyword, landing page, source ID, and creative • Improve and standardize cross-channel attribution, and synchronize Singular data with internal dashboards, BI reports, and marketing visualizations • Build and maintain product and marketing dashboards covering acquisition, funnel performance, user behavior, conversion rates, repayment behavior, campaign quality, and customer value • Create a complete website and product tagging framework, visualize every key funnel step, and clearly separate new and repeat deals across channels, campaigns, affiliates, and traffic sources • Support landing-page experiments and A/B tests by defining tracking, measuring results, analyzing performance, and recommending what should be improved, stopped, or scaled • Help the team launch and evaluate marketing tests across campaigns, creatives, landing pages, sources, keywords, and traffic segments • Analyze customer and traffic quality at keyword, landing-page, source-ID, creative, campaign, affiliate, and channel level • Build cohort and repayment analyses to track retention, repeat usage, repayment patterns, risk signals, customer value, and long-term quality by acquisition source • Deliver ROI/ROMI and LTV/CAC analyses that support budget allocation, channel scaling, and commercial planning • Create dedicated SEO reporting with brand and non-brand traffic splits, plus separate dashboards for satellite websites and projects • Take full ownership of the Marketing planning workbook: automate recurring work, improve its structure, and reduce manual effort and human error • Work closely with Marketing, Product, IT, Affiliate, and Risk teams to keep data reliable, accessible, and useful for daily decisions

🎯 Requirements

• 4+ years of experience in marketing analytics, performance analytics, product analytics, or a similar role • Strong SQL skills and the ability to work confidently with large datasets • Strong Python skills for automation, data cleaning, API integrations, and recurring reporting tasks • Comfortable owning the full path from raw data to business decision: ingestion, transformation, cleanup, validation, dashboarding, analysis, and recommendation • Hands-on experience with BI and visualization tools such as Power BI, Metabase, Looker Studio, Tableau, or similar • Practical experience with marketing and tracking tools such as Singular, Google Ads and Google APIs, Meta Ads, GA4, GTM, Affise, affiliate platforms, postbacks, and ad-platform conversion tracking • Experience building attribution logic, funnel reporting, cohort analysis, CAC/ROI/ROMI reporting, and LTV/CAC analysis • Ability to move from campaign-level reporting into keyword, creative, landing-page, source-ID, affiliate, and channel-level quality analysis • Strong business communication skills and the ability to translate complex analysis into clear actions for technical and non-technical stakeholders • FinTech experience is a significant advantage, especially in lending, repayments, repeat customers, or risk-related marketing analysis.

🏖️ Benefits

• Enjoy 20 paid days off annually • Partial compensation for medical insurance • Partial compensation for sports activities • Partial compensation for foreign language