Senior Data Analyst, Marketing (SheMed) at eMed in Miami, FL

Job description

• We are seeking a highly analytical, commercially minded Senior Data Analyst, Marketing to become a key partner to the marketing team at SheMed.
• This role will be embedded within marketing, helping the team make smarter, faster, data-led decisions across acquisition, retention, customer journeys, and campaign performance. You will drive the measurement of key growth channels, including Meta, Google, and influencer partnerships, and provide clear insight into what is working, what is not, and where we should focus next.
• You will play a critical role in connecting marketing behaviour with wider business performance, including subscription metrics, customer acquisition cost, lifetime value, and retention.
• The ideal candidate combines strong technical expertise with excellent commercial judgement and communication skills. You should be comfortable working with complex datasets, but equally confident translating your analysis into clear, non-technical narratives for senior leadership.
• Please note: This is an office-based role, Monday to Friday, 9am – 6pm. We are based in Miami, Florida.

Responsibilities

• Own marketing performance measurement across channels including Meta, Google, paid social, affiliates, and influencer partnerships.
• Develop attribution frameworks to evaluate acquisition, conversion, retention, and revenue performance.
• Partner with marketing teams to optimise campaigns, audience targeting, creative performance, and budget allocation.
• Analyse the end-to-end customer journey to identify drop-off points, behavioural trends, and growth opportunities.
• Deliver insights to improve conversion, onboarding, CRM, lifecycle communications, retention, and customer value.
• Own reporting and analysis for key subscription KPIs including CAC, LTV, payback period, churn, retention, conversion rate, subscription growth, and channel ROI.
• Apply advanced analytics using SQL, Python, or R for cohort analysis, forecasting, predictive modelling, and Marketing Mix Modelling.
• Build and maintain dashboards and self-serve reporting in Tableau to support data-driven decision-making.
• Translate complex analysis into clear, actionable recommendations for senior stakeholders.
• Use SQL and dbt to develop trusted, scalable data models and analytics infrastructure.
• Collaborate with data, marketing, product, medical, finance, and leadership teams to align insights with business priorities.
• Support analysis of customer engagement and health outcomes in partnership with clinical and product teams.
• Proactively identify opportunities, challenge assumptions with evidence, and help teams move from data to decisions.

Requirements

• 3–5+ years of experience in marketing analytics, growth analytics, commercial analytics, or a similar data-focused role.
• Experience working in a high-growth, fast-paced environment, ideally within D2C healthcare, subscription, consumer health, wellness, ecommerce, or a startup environment.
• Strong experience analyzing paid marketing performance across channels such as Meta, Google, paid search, paid social, influencer, affiliates, or CRM.
• Experience owning and reporting on subscription or customer growth metrics, such as CAC, LTV, retention, churn, payback period, and cohort performance.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using dbt for data transformation, modeling, testing, and documentation.
• Strong Tableau experience, including building dashboards for senior stakeholders and non-technical users.
• Experience using Python or R for advanced analysis, predictive modeling, forecasting, or statistical modeling.
• Ability to translate complex datasets into clear, non-technical narratives that influence senior decision-making.
• Excellent communication, presentation, and stakeholder management skills.
• Experience with Marketing Mix Modelling or incrementality testing (Desireable)
• Experience with PostHog, Braze, or similar product analytics and CRM platforms (Desireable)
• Experience working with clinical, health, patient, or outcomes data (Desireable)

Skills

Required

• Advanced SQL
• dbt
• Tableau
• Python or R
• Data analysis
• Predictive modeling
• Forecasting
• Statistical modeling
• Data storytelling
• Communication
• Presentation
• Stakeholder management

Preferred

• Marketing Mix Modelling
• Incrementality testing
• PostHog
• Braze
• Product analytics platforms
• CRM platforms
• Clinical data analysis

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k with Company Match)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Short Term & Long Term Disability
• Training & Development
• Catered Breakfast and Lunch Daily, Plus Snacks
• Wellness Resources