Note: The job is a remote job and is open to candidates in USA. Zarminali Pediatrics is building a nationwide pediatric multispecialty group focused on transforming pediatric care through collaborative care teams and technology. The Marketing Analytics Manager will deliver marketing analytics, measurement frameworks, attribution methodologies, and business intelligence to support patient acquisition, engagement, retention, and growth. The role will analyze marketing channels, develop reporting and forecasting, and drive data-informed decisions across Marketing and Growth teams.
Responsibilities
- Build marketing spend and channel analysis to understand volume and CAC (customer acquisition cost) across all marketing channels
- Leverage Google Analytics (GA4) for paid search, social, influencer, and OTT campaigns — developing reporting and analyzing performance wins, opportunities, and overall marketing ROI, ultimately tying results to LTV by patient age
- Use SEMrush and Google Search Console for organic and paid search reporting and analysis
- Support cross-channel attribution, including consistent UTM tagging and tracking standards to ensure accurate campaign-level measurement
- Own call tracking analytics and reporting via CallRail to connect inbound phone calls with patient conversion
- Support retention analytics for email and SMS campaigns, with opportunity to grow ownership of this area over time
- Partner with the web development team on website analytics (traffic, load time, session quality, funnel progression, and conversion insights), including A/B test design and analysis, and audience/segmentation analysis to improve engagement and conversion on-site and through email/SMS/paid campaigns
- Help evaluate whether additional partners or tools are needed to support data warehousing needs
- Identify opportunities to apply AI and automation to streamline recurring reporting and key analyses
- Use SQL on enterprise datasets (e.g., AWS Redshift) to extract, validate, and transform marketing, engagement, and conversion data for analysis
- Partner with the Growth Lead and cross-functional Marketing stakeholders to translate business questions into analytics and drive data-informed decisions
- Independently own day-to-day marketing channel measurement and reporting
- Leverage channel and overall growth findings to determine marketing monthly forecasting by channel
Skills
- Bachelor's degree with 5+ years of experience in marketing analytics, digital analytics, business intelligence, growth analytics, or data strategy, with a focus on solving complex business challenges through data
- Experience developing dashboards and data visualizations in BI tools (Power BI, Tableau, Looker) for enterprise-wide use, with proficiency in Power BI required
- Ability to use SQL on large, complex datasets to extract, transform, and analyze structured data
- Experience designing clear, insight-driven analytics and reporting, translating complex data into strategic business insights through visuals and charts
- Strong domain expertise in marketing analytics, digital marketing performance, customer acquisition, attribution, funnel optimization, customer engagement, or lifecycle marketing
- Experience with marketing and growth analytics platforms across categories: digital/behavioral analytics (e.g., GA4, Heap, Amplitude, Adobe Analytics), customer engagement/CRM (e.g., Braze, Iterable, Salesforce Marketing Cloud, Adobe), call tracking (e.g., CallRail, Invoca), and paid media (Google Ads), or comparable tools
- Experience working with cloud-based data platforms (e.g., AWS Redshift) and enterprise data architectures
- Experience supporting digital marketing channels (paid search, SEO, paid social, email/SMS, CRM, referral programs, lifecycle marketing) across platforms such as Braze, Google Ads, and Salesforce
- Strong proficiency in Power BI, with extensive experience in enterprise dashboard development
- Experience supporting or implementing marketing measurement frameworks
- Experience with attribution modeling, marketing mix modeling (MMM), customer journey analytics, or multi-touch attribution methodologies
- Experience with experimentation, A/B testing, statistical modeling, or predictive analytics in statistical programming languages (Python, R)
- Working knowledge of Python (or R) for data manipulation, automation, and analytical workflows beyond SQL
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