Fei Fang
Senior Marketing Analytics | Attribution & Marketing ROI Data Modeling | Full-stack Data Practitioner | Growth Analytics | SQL • Python • dbt | Healthfirst Compass Award Nominee on Multitouch Attribution Data Modelling
- Role
- Senior Marketing Analyst at Healthfirst
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Fei Fang
Portfolio: https://feifang.me/fei-fang/Senior Marketing Analytics specializing in marketing measurement, attribution modeling, and growth analytics. I design analytics data models and measurement frameworks that transform fragmented marketing and customer data into reliable decision systems for acquisition strategy, retention optimization, and marketing investment planning.With 7+ years of experience across healthcare and digital marketing environments, I focus on building scalable analytics layers that enable marketing, finance, and executive teams to evaluate performance, measure ROI, and optimize marketing spend.At Healthfirst, I built the organization’s first enterprise marketing ROI and attribution measurement framework integrating finance data, campaign data, acquisition metrics, and member lifecycle datasets into unified analytics models used for budgeting and executive investment strategy.My work sits at the intersection of analytics engineering, marketing analytics, and data science, translating business questions into structured datasets, metric definitions, and experimentation frameworks.I collaborate closely with data engineering teams and modern data platforms to support marketing measurement across multiple data systems including CRM, campaign platforms, and behavioral data environments.Core areas of focus include:Marketing Attribution ModelingMarketing ROI MeasurementAnalytics Data ModelingCustomer Lifetime Value (CLV) ModelingGrowth & Acquisition AnalyticsCustomer Segmentation & Retention StrategyExperimentation & A/B TestingMarketing Data IntegrationPredictive Modeling for Churn and RetentionTechnical stack and platforms include SQL, Python (Pandas, NumPy, Scikit-learn), modern data warehouse environments (Snowflake/Redshift-style architectures), BI tools such as Tableau and Power BI, and large-scale analytics workflows across heterogeneous data sources.My work ultimately focuses on building reliable analytics foundations that help organizations invest marketing resources more effectively and improve long-term customer value.
Experience
Senior Marketing Analyst
Nov 2022 — Present · New York, NY, US
2025 Healthfirst Compass Award Nominee - 1 of 20 across employees. Only marketing nominee in five years. Recognized for building marketing attribution and ROI measurement frameworks that directly inform budget allocation strategy.Key Analytics ProjectsMarketing ROI Analytics Platform – Built Healthfirst’s first enterprise dashboard measuring financial impact of omnichannel marketing campaigns and enabling data-driven budget allocation decisions.PHSP Renewal & Retention Analytics – Developed cohort-based models and retention analysis to identify drivers of PHSP renewal and support member retention strategies.Member Lifecycle Analytics – Built lifecycle datasets and analytical frameworks to understand member tenure, acquisition cohorts, and long-term member value.Core Responsibilities• Translate marketing strategy and campaign objectives into measurable analytics frameworks, KPIs, and data requirements.• Integrate heterogeneous data sources (databases, OLAP systems, FTP, flat files) into analytics-ready datasets for marketing performance measurement.• Design and transform structured datasets to support attribution modeling, marketing ROI measurement, and growth analytics.• Perform data preparation and feature engineering including data normalization, deduplication, and missing value handling.• Conduct exploratory data analysis and statistical validation to ensure data quality and model reliability.• Build predictive models including churn prediction and customer lifetime value estimation using survival analysis (Kaplan-Meier, Cox models).• Develop segmentation models using RFM analysis and clustering techniques to identify high-value customer segments.• Conduct pricing and incentive program analytics using economic price optimization and simulation modeling.• Develop automated dashboards and reporting pipelines to support marketing strategy, growth performance monitoring, and executive decision making.
Education
Beijing Sport University
Bachelor's degree, Sports Journalism and Communication
University of Florida - Warrington College of Business
Master of Science - MS, Management (MSM)
Skills
- Digital Photography
- Overseas Experience
- Asia Business Development
- Email Marketing
- Google Adwords
- Digital Marketing
- Marketing Strategy
- Project Management
- Asana
- Graphic Design
- Facebook Marketing
- Software Project Management
- Employee Training
- Html5
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