Marketing Data Analyst

MD Finance

Marketing Data Analyst leveraging analytics for business growth at MD Finance. Responsible for data ownership and transforming insights into actionable marketing decisions.

Posted 8/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics, including data ingestion, transformation, and reporting, with strong capabilities in SQL and Python for automation and data management. Proficient in using BI tools and marketing platforms to drive data-driven decision-making and optimize campaign performance.

Highest-signal resume keywords

SQL SkillsPython AutomationBI Tools ProficiencyAttribution Logic DevelopmentFinTech Marketing Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData CleanupDashboardingCohort AnalysisCAC ReportingROI ReportingLTV AnalysisConversion TrackingA/B Testing

Soft Skills

Business CommunicationAnalytical Thinking

Tools & Technologies

Power BIMetabaseLooker StudioTableauGoogle AdsMeta AdsGA4GTMSingularAffiliate Platforms

Industry Keywords

Marketing AnalyticsPerformance AnalyticsProduct AnalyticsFinTechRisk Analysis

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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