Data Analyst - Performance Marketing

Summary

Join HealthCare.com, a rapidly growing insurtech company, as a Performance Marketing Analyst. You will be part of the analytics team, focusing on data-driven insights and optimizing paid media campaigns. Collaborate with marketing and product teams to measure performance, optimize campaigns, and improve customer acquisition. The ideal candidate possesses a strong analytical background, experience with paid media and customer acquisition funnels, and the ability to translate data into actionable insights. This role involves analyzing campaign performance, building dashboards and reports, and supporting forecasting and budget planning. You will also design and evaluate A/B tests and communicate findings to stakeholders.

Requirements

• 3+ years of experience in marketing analytics, growth analytics, or digital media analytics
• Hands-on experience analyzing performance for Google Ads, Bing Ads, and Facebook/Meta Ads campaigns
• Hands-on experience analyzing customer conversion funnels
• Strong command of SQL and experience working with large-scale marketing or customer datasets
• Proficiency in data visualization tools such as Tableau, Looker, Power BI, or sigma
• Solid understanding of digital marketing metrics (CAC, ROAS, CPA, CVR, LTV) and campaign tracking methods
• Experience analyzing A/B experiments for statistical significance
• Ability to clearly communicate technical findings to non-technical stakeholders
• Strong problem-solving skills and a collaborative, solutions-oriented mindset

Responsibilities

• Analyze and monitor marketing performance across Google, Bing, and Facebook Ads, identifying opportunities to improve efficiency and effectiveness
• Build and maintain dashboards and reports to track CAC, ROAS, CPA, CTR, CVR, and other core acquisition metrics
• Support weekly/monthly reporting cadences and proactively surface performance trends and anomalies
• Evaluate A/B and multivariate tests to assess impact and inform creative, bidding, and audience strategies
• Support or build attribution models (first-touch, last-touch, multi-touch)
• Analyze conversion funnels to pinpoint drop-off points and user friction
• Optimize marketing acquisition channels with funnel experiences
• Help connect paid media spend to downstream actions
• Collaborate with marketing and finance to build spend forecasts, acquisition projections, and channel ROI models
• Analyze marginal CAC and incremental spend impact to inform budget allocation
• Design and evaluate creative tests, landing page variants, bidding strategies, audience segments, and conversion funnel variants
• Ensure statistical rigor in test setup and interpret results for incremental lift
• Build and maintain dashboards (e.g., Tableau, Looker, Power BI) to surface daily and weekly performance trends
• Automate routine reporting workflows and collaborate with data engineers for scalable pipelines
• Present insights to marketing, product, growth, and executive stakeholders
• Translate data findings into clear recommendations and strategic guidance

Preferred Qualifications

• Experience with Google Analytics, Google Tag Manager, and UTM/campaign tracking
• Familiarity with incrementality testing, attribution models, or multi-touch attribution platforms
• Exposure to data warehousing environments such as Snowflake, BigQuery, or Redshift
• Experience working in a subscription, eCommerce, or high-growth consumer environment
• Basic familiarity with Python or R for data analysis is a plus

Benefits

• Opportunity to work from home
• Excellent work environment
• Medical, dental, and vision insurance
• Up to 15 days of paid time off
• 11 company observed holidays
• 8 weeks of paid parental leave
• 401k plan with company match
• Life insurance
• Professional growth opportunity