Own the measurement, experimentation, and predictive layer for khodro45's marketing efforts across paid acquisition, apps, and eCRM including lead scoring, churn prediction, and content/creative testing. Your job is to make sure every budget decision is backed by data the team trusts.

Key Responsibilities:

Measurement and reporting

• Own performance reporting across paid web, social, search, native ad networks, app installs, CRM/push, and SEO
• Build and maintain self-serve dashboards in Metabase for marketing and other stakeholders
• Track CAC, CPL, ROAS, and conversion rates by channel and flag anomalies before stakeholders find them.

Experimentation

• Design, run, and read out A/B tests on landing pages, ad creative, and CRM messaging
• Define success metrics, test hypotheses, and statistical methodologies before experiments launch.
• Keep a shared log of test results so the team stops re-running old experiments

Analysis and modeling

• Run cohort, retention, and segmentation analyses for sellers, dealers, and affiliate partners
• Build lead-scoring and churn models with standard statistical methods, and validate them against actual outcomes
• Support budget allocation with channel-mix and incrementality analysis
• Forecast lead volume and spend efficiency for quarterly planning

Data quality and governance

• Own tracking plans, attribution models, and UTM conventions across web, app, and CRM
• Audit tag and event accuracy regularly, and document metric definitions so "a lead" means one thing across the company
• Partner with engineering on instrumentation and data pipeline requests

Cross-functional work

• Translate business questions from marketing, sales, and branch operations into analyses
• Present findings to non-technical stakeholders in plain language

Required Qualifications:

• 1 year of experience in marketing data analytics or a similar measurement-focused role
• Solid understanding of relational databases (PostgreSQL, MySQL, etc.)
• Python for statistical analysis and lightweight modeling
• GA4, Metabase, and Airflow
• Effective data visualization abilities
• Working with APIs and Git