Front is the modern customer service platform that helps companies delight their customers, engage their teams, and build stronger businesses. We’ve reimagined the help desk for real-time team collaboration across every customer communication channel, then powered it up with AI and automation to resolve issues and help teams work faster. Customers get exceptional service whether they’re looking for a simple, instant answer, or personalized help on their most complex issues — and you get the analytics and insights your business needs to optimize your customer experience. Over 8,500 businesses of all shapes and sizes, from ClickUp to Branch Insurance, Echo Global Logistics to Reed & Mackay rely on Front to deliver game-changing service that wins and retains customers for life.

Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, Forbes Best Startup Employers 2022 List, and Best workplaces for Millennials 2022 list.

If the idea of rolling up your sleeves and building the framework and foundation for a successful marketing analytics org excites you, this role may be the perfect fit. We’re looking for someone who deeply understands customer expansion strategy and can leverage data to tell compelling stories and empower stakeholders to make data driven decisions. You will partner with marketers, data engineers, product managers, and other data science teams to execute on our company’s strategy to both grow and scale. Using a variety of analysis and data-science techniques, you’ll help stakeholders understand how Front’s leads and customers engage with us, identify opportunities for optimization, and measure the success of marketing initiatives.

What you will be doing:

• Become a trusted strategic partner with the GTM organization by using data to deliver actionable insights which help address the business's biggest areas of opportunity

• Design and build models to support attribution, customer segmentation, automated monetization motions and predictive modeling around grown and churn

• Evangelize and drive adoption to the data products that you develop

• Identify and measure the success of expansion efforts through forecasting, goal setting and monitoring key funnel metrics and conversion rates

Minimum Qualifications:

• 5+ Years of Experience in Data Science or related fields, with a focus on customer expansion

• Proficiency in SQL and another data manipulation programming language (e.g Python, R)

• Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, Omni, Looker, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)

• Understanding of attribution modeling with a focus on Existing Business / Expansion

• An understanding of the SaaS business model and key funnel metrics

• Experience in customer segmentation and personalization efforts

• Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills

• Ability to craft analysis into well-written and persuasive content

Desirable Qualifications:

• 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field

• Experience utilizing causal inference for marketing measurement

• Experience influencing functional leadership and above to adopt data solutions

• An understanding of both uncovered and covered expansion motions

• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems

Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice