Senior Marketing Analyst

Job Title: Senior Marketing Analyst

Location: Austin, TX (Hybrid, 2-3 days in office)

Salary: $110,000 - $125,000 base + benefits

Are you a data-driven marketing analyst passionate about making a tangible difference in education? Join a pioneering EdTech company on a mission to increase graduation rates across the U.S. using cutting-edge, tech-enabled services.

Why You’ll Love This Role:

• Innovative Culture: Work in a fast-paced, creative environment with a small, highly collaborative team.
• Impactful Work: Directly contribute to improving student outcomes and educational success.
• Career Growth: Thrive in an expanding company with ample room for professional development.

Role Overview:

As a Senior Marketing Analyst, you’ll collaborate closely with the Head of Marketing, diving deep into campaign performance to generate actionable insights. You’ll champion data-driven decision-making, working on everything from A/B testing to strategic recommendations. This role also involves light data engineering, performance reporting, and cross-functional collaboration.

Key Responsibilities:

• Organize and analyze complex datasets to generate meaningful insights.
• Evaluate marketing campaigns (email, SMS, paid search, social, etc.) using advanced statistical techniques.
• Design, execute, and interpret A/B tests to enhance user experience.
• Create intuitive, data-driven dashboards to empower real-time decision-making.
• Deliver regular reports on performance, insights, and strategic recommendations for internal teams and external partners.
• Lead validation efforts to maintain a stable, scalable data system.

Your Skills & Experience:

• Degree in Mathematics, Statistics, Economics, Business, or related field.
• 4+ years of experience in analytics, with at least 2 years supporting marketing teams.
• Expert-level SQL skills.
• Proficiency in data visualization tools (e.g., Tableau).
• Solid grasp of statistical analysis (e.g., correlation, regression).
• Ability to communicate data-driven insights and lead discussions across teams.
• Experience with machine learning or predictive modeling is a plus.