Marketing Analytics Lead
Lead marketing analytics to optimize paid and organic campaigns across Meta, Google, SEO, and social. Own data pipelines, dashboards, attribution, A/B testing, and predictive modeling with SQL/Python to drive growth strategy at a high-growth fintech startup.
About the job
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).
Skills
SQL, Python, Marketing Analytics, Paid Media, Data Pipelines, Attribution Modeling, A/B Testing, Metabase, Looker, HTML, Seo Analytics, Predictive Modeling
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