POS-31368

The Hub Spot Paid Marketing and Website Monetization teams leverage data to optimize prospect and customer experiences across our digital properties and acquisition channels. The Marketing Analytics team provides the data infrastructure and analytical expertise to drive data-informed decisions across the organization.

As a Senior Data Analyst on the Marketing Operations & Analytics team, you will be instrumental in providing strategic insights and actionable recommendations to our partners across Paid Marketing and Web/AEO (Answer Engine Optimization) strategy. You will translate complex data into clear business implications, develop robust reporting, and partner with cross-functional teams to enhance the performance of our paid acquisition efforts as well as our web experience, AEO traffic, and on-site conversion outcomes. This role offers the opportunity to become a subject matter expert in how data and analytics can directly impact our paid acquisition, web strategy, and AEO execution.

In this role, you'll get to:

• Analyze paid marketing campaign performance and web behavior data across various channels (e.g., Google Ads, Meta Ads, Affiliate) and surfaces (e.g., website, AEO referrals) to identify trends, opportunities for optimization, and areas for improvement in the full marketing and web funnel.

• Develop and maintain key reporting dashboards and analyses in our data visualization tools (e.g., Looker) to provide teams with timely and actionable insights into campaign performance, ROI, web engagement, conversion rates, and other key metrics.

• Conduct in-depth quantitative research and build forecasting and performance models to support strategic planning, budget allocation for paid marketing initiatives, and prioritization of AEO and web strategy projects (e.g., CRO tests, web personalization, AEO content and experience investments).

• Collaborate closely with Marketing stakeholders and Analytics Engineers to define data requirements, develop data infrastructure, and ensure accurate and efficient reporting for both acquisition and on-site performance.

• Communicate findings and data-driven recommendations to stakeholders and leadership with a clear point of view, enabling them to make informed decisions about investment, experimentation, and strategy across channels and the website.

• Become a go-to expert on paid marketing, web performance/tracking, and AEO-related data, educating teams on best practices for data analysis and interpretation, including how to measure AEO impact and web conversion performance.

• Proactively identify opportunities to improve data quality, reporting processes, and analytical capabilities across the Paid Marketing and Web/AEO strategy domains, including integrating new data sources for AEO and web measurement where needed.

• Coordinate with stakeholders across Product, Finance, Marketing, Sales, and Customer Success to ensure data is accessible and metrics are well-defined, relevant, and actionable.

We are looking for people who have:

• 3+ years of experience in a data analyst role with a strong focus on Marketing Analytics, preferably but not required to have direct exposure to paid acquisition data.

• Demonstrated experience using data to influence business decisions and drive measurable results in a marketing context.

• Advanced proficiency in SQL for data extraction, transformation, and analysis (experience with Snowflake SQL is a plus).

• Strong hands-on experience with Business Intelligence and data visualization tools (experience with Looker is highly preferred).

• Excellent analytical, problem-solving, and project management skills.

• Strong communication and presentation skills with the ability to convey complex data insights to both technical and non-technical audiences.

• Proven ability to collaborate effectively with cross-functional teams (Marketing, Finance, Prod Ops).

• A proactive and curious mindset with a desire to continuously learn and improve.

Nice to Have:

• Solid understanding of the marketing funnel and key paid marketing metrics (e.g., CPA, ROAS, LTV).

• Experience with statistical modeling or data science techniques (e.g., regression analysis).

• Familiarity with marketing automation platforms (e.g., Hub Spot).

• Familiarity with website tracking and analytics, including hands-on experience with tracking code implementation, cross-domain analytics, and segmentation/reporting to support web performance and conversion optimization initiatives.

• Experience driving projects related to web strategy and AI Engine Optimization (AEO), such as building AEO referral reporting, integrating new data streams for AEO measurement, and enabling CRO & web personalization attribution and reporting.

• Experience with advanced SQL techniques (window functions, CTEs, etc.).

• Experience working within the Hex data platform.

• Understanding of attribution models in a marketing context.

• Experience working in a SaaS business.

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At Hub Spot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional Hub Spot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to Hub Spot's Career Diversity page here.

India Applicants: link to Hub Spot India's equal opportunity policy here.

About Hub Spot

Hub Spot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. Hub Spot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At Hub Spot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, Hub Spot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

• Hub Spot Careers

• Life at Hub Spot on Instagram

Hub Spot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that Hub Spot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to Hub Spot's Recruiting Privacy Notice for details on data processing and your rights.