Data Analyst
About the Role
We are seeking a highly analytical Data Analyst to bridge the gap between complex data and strategic growth. In this role, you will be the engine behind our marketing efficiency, transforming raw data from multiple channels into actionable insights that drive customer acquisition and retention. You won’t just report numbers; you will be a strategic partner to the Marketing team, helping them understand the Customer Journey, optimize Ad Spend, and master Attribution Models. If you have a passion for data storytelling and want to see your insights directly reflected in company growth, this is your place.
Responsibilities
Performance Tracking: Build and maintain automated dashboards to track KPIs such as CAC, LTV, ROAS, and Conversion Rates across different channels (Paid Social, SEM, Email, etc.). Attribution & MMM: Develop and refine attribution models to help the team understand the true impact of each touchpoint in the customer journey. A/B Testing & Optimization: Design, execute, and analyze experiments (A/B testing) for landing pages, ad creatives, and email campaigns to improve conversion funnels. Audience Segmentation: Analyze customer behavior to create advanced segmentations (RFM analysis, churn prediction) for personalized marketing automation. Cross-Channel Integration: Collaborate with Data Engineers to ensure clean data flow from marketing platforms (Google Ads, Meta, GA4, HubSpot, etc.) into our Data Warehouse. Marketing Advisory: Act as the "Data Translator" for the CMO and Growth Leads, providing recommendations on budget allocation based on historical performance and trends.
Qualifications
Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Business Analytics) or Marketing with a strong analytical focus. Strong proficiency in SQL (essential for data modeling). Expertise in BI Tools (Looker, Data Studio, Tableau or Power BI). Deep knowledge of Google Analytics 4 (GA4) and GTM (Google Tag Manager). Proven experience analyzing Marketing funnels (Top, Middle, and Bottom). Familiarity with marketing platforms APIs and data structures (Facebook Ads, LinkedIn Ads, etc.). Understanding of Attribution Models (First-touch, Last-touch, Linear, Data-driven). Excellent data storytelling skills—moving from "what happened" to "why it happened" and "what to do next." Ability to work in a fast-paced environment where priorities shift based on campaign performance.