[YOUR FULL NAME]
[City, State] | [Phone Number] | [Email Address] | [LinkedIn Profile URL]

PROFESSIONAL SUMMARY
Marketing Data Analyst with [X] years of experience optimizing campaign performance and customer acquisition strategies through advanced analytics. Expert in marketing attribution, customer segmentation, and conversion optimization with proven ability to increase ROI and reduce customer acquisition costs. Skilled in translating marketing data into actionable growth strategies.

TECHNICAL SKILLS
Marketing Analytics: Google Analytics 4, Adobe Analytics, Mixpanel, Amplitude, marketing attribution modeling
Programming & Analysis: SQL, Python, R, Excel (advanced formulas, pivot tables, Power Query)
Visualization: Tableau, Google Data Studio, Power BI, Looker
Marketing Platforms: Google Ads, Facebook Ads Manager, HubSpot, Marketo, Salesforce
Statistical Methods: A/B testing, multivariate testing, regression analysis, cohort analysis, funnel analysis

PROFESSIONAL EXPERIENCE

Marketing Data Analyst | [Company Name] | [City, State] | [Start Month Year - Present/End Month Year]
- Analyzed multi-channel marketing campaigns across [number] channels, optimizing budget allocation that improved marketing ROI by [percentage] and reduced CAC by [$amount]
- Built customer segmentation model using RFM analysis and clustering algorithms, enabling targeted campaigns that increased conversion rates by [percentage]
- Developed marketing attribution model tracking [number] touchpoints across customer journey, revealing undervalued channels and redistributing [$amount] budget for [percentage] better performance
- Created automated dashboards in Tableau monitoring [number] KPIs (CAC, LTV, ROAS, conversion rates), providing real-time visibility to marketing leadership
- Designed and analyzed [number] A/B tests for email, landing pages, and ad creative, generating insights that lifted overall conversion rate by [percentage]
- Collaborated with content and demand gen teams to analyze campaign performance, identifying top-performing content that drove [percentage] of qualified leads
- Conducted cohort analysis on [X] customer segments, uncovering retention patterns that informed [$amount] retention marketing investment

[Previous Marketing Role] | [Company Name] | [City, State] | [Start Month Year - End Month Year]
- Performed funnel analysis on website conversion paths, identifying [number] friction points and recommending changes that improved checkout completion by [percentage]
- Built customer lifetime value prediction model achieving [percentage] accuracy, enabling more aggressive acquisition spending in high-value segments
- Analyzed email campaign performance across [number] segments, optimizing send times and content that increased open rates by [percentage] and CTR by [percentage]
- Tracked social media analytics and engagement metrics, providing insights that grew organic reach by [percentage] and engagement by [percentage]
- Created weekly marketing performance reports for executive team, highlighting campaign wins, opportunities, and budget recommendations

EDUCATION
[Degree Name], [Major] | [University Name] | [Graduation Year]

CERTIFICATIONS
Google Analytics Individual Qualification (GAIQ) | Google | [Year]
[Marketing Analytics Certification] | [Platform] | [Year]

KEY ACHIEVEMENTS
- Reduced customer acquisition cost by [percentage] while maintaining lead quality through data-driven channel optimization
- Increased marketing qualified leads by [percentage] through targeted segmentation and personalization
- Generated [$amount] in attributed revenue through conversion optimization experiments