Get new jobs for this search by email

About Gusto

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.

About the Role:

We are seeking a highly skilled and hands-on Head of Marketing Analytics to lead our marketing data strategy, provide actionable insights, and drive data-informed decision-making. This role requires a unique blend of analytical expertise, dashboard development, and strategic storytelling to influence executive stakeholders. The ideal candidate is a data-driven leader who can dive deep into analysis, build scalable reporting systems, and effectively communicate key findings to drive business growth.

Key Responsibilities:

• Analytics & Insights: Conduct in-depth analysis of marketing performance, customer acquisition, conversion funnels, and retention to uncover trends and opportunities.
• Dashboard Development: Build and maintain intuitive, scalable dashboards using tools like Tableau, Looker, or Power BI to provide real-time visibility into key marketing KPIs.
• Data-Driven Strategy: Collaborate with marketing, product, and sales teams to optimize campaigns, improve ROI, and drive strategic decision-making.
• Executive Communication: Translate complex data insights into compelling narratives and present actionable recommendations to senior leadership.
• Attribution Modeling: Develop and refine multi-touch attribution models to better understand customer journeys and marketing effectiveness.
• Stakeholder Collaboration: Partner with finance, data science, and engineering teams to ensure data accuracy, governance, and infrastructure scalability.
• Team Leadership & Mentorship: Hire, mentor, and develop a high-performing marketing analytics team while remaining hands-on with analysis.

Qualifications:

• 8+ years of experience in marketing analytics, data science with a focus on digital marketing and growth.
• Strong proficiency in SQL, Python, or R for data analysis and automation.
• Expertise in BI tools such as Tableau, Looker, Power BI, or similar.
• Deep understanding of marketing channels (paid, organic, social, email, etc.), attribution modeling, and performance metrics.
• Experience in presenting insights to executive leadership and influencing business decisions.
• Ability to balance hands-on analytical work with strategic planning and team leadership.
• Knowledge of A/B testing, experimentation frameworks, and statistical methodologies.
• Excellent problem-solving skills, with a data-driven mindset and strong business acumen.
• Experience with data warehouses (BigQuery, Snowflake, Redshift) and marketing automation tools is a plus.

Our cash compensation amount for this role is targeted at $187,000 - $220,000 in San Francisco and New York, and $158,000 - $187,000 in Denver and most remote locations. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.