Marketing Analytics Lead

Responsibilities

• Manage and analyze complex datasets.
• Collaborate with performance marketing teams to optimize campaigns across channels including Meta, Google, podcasts, and other emerging platforms.
• Partner with content and organic teams to analyze the performance of SEO and social initiatives, identifying opportunities to improve engagement and conversion.
• Develop and refine strategies to target high-value audiences, leveraging insights from contextual and demographic data.
• Build and maintain data pipelines to collect, clean, and aggregate marketing data from various sources, including 3rd party platforms (Meta and Google) and internal data warehouses.
• Develop and automate reporting dashboards to monitor KPIs and deliver actionable insights to stakeholders.
• Perform in-depth analyses of campaign performance, including attribution modeling, A/B testing, and spend efficiency studies.
• Write and optimize SQL queries to extract and manipulate data for reporting and analysis.
• Perform predictive modeling, campaign forecasting, or creative fatigue analysis (Hill function modeling) using Python.
• Collaborate with engineers to enhance data collection processes and ensure data accuracy.

Requirements

• Bachelor’s degree in Economics, Statistics, Mathematics, Data Science, or a related quantitative field plus five (5) years of analytics experience, or Master’s Degree in the same fields plus four (4) years of Analytics Experience.
• 4 years of experience with marketing analytics, specifically emphasizing paid media performance.
• Experience with SQL and Python to build data pipelines, extract and clean raw marketing data, and conduct advanced quantitative analysis.
• Experience with managing and analyzing intricate datasets.
• Experience with paid acquisition channels, including campaign setup, optimization, and measurement.
• Experience with HTML.
• Experience with Metabase, Looker, or similar BI platforms.
• Experience performing analytics for both large companies as well as high-growth startups.

Nice-to-Haves

• Predictive modeling, campaign forecasting, or creative fatigue analysis (Hill function modeling) using Python.

Compensation & Benefits

• Base Salary: $169,541 - $210,000
• Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage.
• 401(k): Retirement savings program.
• Paid Time Off: Dedicated time to reset and recharge plus most federal holidays.
• Parental Leave: Comprehensive leave policy.
• Meals: Select meals covered throughout the week.
• Fitness: Monthly movement stipend.
• Equity & Career Growth: Early exercise eligibility and professional development focus.
• Full access to cutting-edge AI tools.
• Annual Compensation Reviews: Salary and equity refreshes based on performance.
• Boomerang Program: After two years, option to take time away to start your own company (hold spot for 6 months).