Senior Data Analyst

Responsibilities

• Analyze acquisition performance: Evaluate results across channels, campaigns, audiences, creatives, devices, and landing pages to identify performance drivers, trends, and optimization opportunities.
• Apply acquisition measurement frameworks: Use Lifetime Value (LTV), Customer Acquisition Cost (CAC), payback period, and Return on Advertising Spend (ROAS) to assess customer value, compare acquisition efficiency, and guide investment allocation.
• Measure marketing effectiveness: Apply attribution, incrementality testing techniques, and support the development of Marketing Mix Modeling (MMM) capabilities.
• Define success metrics: Establish Key Performance Indicators (KPIs) for acquisition volume, efficiency, customer quality, and long-term value.
• Identify opportunities: Proactively detect performance changes, investigate root causes, and communicate risks and opportunities.
• Create reporting tools: Create self-service dashboards and automated reporting for business partners.
• Partner on data development: Work with User Acquisition and Data Engineering to define requirements and build scalable acquisition data models.
• Communicate insights: Present clear, actionable recommendations to technical and nontechnical stakeholders.

Requirements

• 6+ years of experience in user-acquisition, growth, marketing, or data analytics.
• Bachelor’s or Master’s degree in a quantitative field.
• Strong experience analyzing paid search, paid social, display, affiliate, mobile, connected television, or similar acquisition channels.
• Experience developing LTV, CAC, payback period, and ROAS models.
• Experience with attribution, incrementality testing, or related marketing-measurement methods.
• Advanced SQL skills and experience working with large datasets.
• Proficiency in Python or R for statistical analysis, modeling, automation, and visualization.
• Experience with Business Intelligence (BI) tools such as Omni, Looker, or Tableau.
• Experience with Snowflake, Git, or data build tool (dbt) is a plus.
• Ability to work independently, manage multiple priorities, and take projects from problem definition through recommendation.
• Strong written and verbal communication skills.

Qualifications

• Minimum 6+ years of experience in user-acquisition, growth, marketing, or data analytics.
• Bachelor’s or Master’s degree in a quantitative field.
• Strong experience analyzing paid search, paid social, display, affiliate, mobile, connected television, or similar acquisition channels.
• Experience developing LTV, CAC, payback period, and ROAS models.
• Experience with attribution, incrementality testing, or related marketing-measurement methods.
• Advanced SQL skills and experience working with large datasets.
• Proficiency in Python or R for statistical analysis, modeling, automation, and visualization.
• Experience with Business Intelligence (BI) tools such as Omni, Looker, or Tableau.
• Experience with Snowflake, Git, or data build tool (dbt) is a plus.
• Ability to work independently, manage multiple priorities, and take projects from problem definition through recommendation.
• Strong written and verbal communication skills.

Skills

• Data Analysis
• Acquisition Measurement Frameworks
• Attribution Techniques
• Marketing Mix Modeling
• SQL
• Python/R for Statistical Analysis
• Business Intelligence Tools

Benefits

• 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums
• 401(k) program with employer match
• 15 paid vacation days (increases to 20 days on your 3rd anniversary)
• 12 observed national paid holidays
• 9 sick days
• 16 paid volunteer hours per year
• 7 paid days for company-wide year end closure (includes 3 observed paid holidays)

Pay

The estimated salary range for a new hire in this position is $150,000 USD - $170,000 USD.

Schedule

Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions.