Summary
MD Finance is seeking a Marketing Data Analyst to join their Marketing team. This role focuses on transitioning from manual reporting to reliable data analysis, optimizing marketing performance, and directly influencing business growth through data-driven decisions.
Responsibilities
- 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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- FinTech experience is a significant advantage, especially in lending, repayments, repeat customers, or risk-related marketing analysis
Benefits
- 20 paid days off annually
- Flexible scheduling
- Partial compensation for medical insurance, sports activities, and foreign language
- Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose