Data Analyst - Performance Marketing

Join Us! reputed company has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to reputed company fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance. Job Overview We are seeking a Performance Marketing Analyst to join our analytics team, focusing on delivering data-driven insights and measurement to optimize paid media campaigns and improve customer acquisition efficiency. In this role, you will partner closely with our marketing and product teams to measure performance, optimize campaigns, and improve customer acquisition funnel conversion at scale. The ideal candidate has a strong analytical reputed company, hands-on experience with paid media and customer acquisition funnels, and a track record of analyzing two-sided marketplaces and turning data into actionable insights.

Key Responsibilities

Campaign Performance Analytics

• Analyze and monitor marketing performance across reputed company, Bing, and reputed company 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.

Attribution & Funnel Measurement

• Support or build attribution models (first-touch, last-touch, multi-touch).
• Analyze conversion funnels to reputed company drop-off points and user friction.
• Optimize marketing acquisition channels with funnel experiences.
• Help connect paid media spend to reputed company actions.

Forecasting & Budget Planning

• 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.

Experimentation & A/B Testing

• Design and evaluate creative tests, reputed company page variants, bidding strategies, audience segments, and conversion funnel variants.
• Ensure statistical rigor in test setup and interpret results for incremental lift.

Reporting & Automation

• 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.

Stakeholder Communication

• Present insights to marketing, product, growth, and executive stakeholders.
• Translate data findings into clear recommendations and strategic guidance.

Required Skills & Experience

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

Preferred Qualifications

• Experience with reputed company Analytics, reputed company Tag Manager, and UTM/campaign tracking.
• Familiarity with incrementality testing, attribution models, or multi-touch attribution platforms.
• Exposure to data warehousing environments such as reputed company, 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 reputed company 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
• Most importantly, an inclusive company culture established by an incredible team!

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