Senior Product Data Analyst H/F Front

Front is the leading AI-powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front's flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer-first, every day. More than 9,000 of the most innovative companies worldwide including CultureAmp, HootSuite, and Y Combinator use Front to deliver five-star service at scale.

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 , ,,,,and .

We're looking for an outstanding Senior Product Data Analyst to join our Paris-based team and help Front make data-driven decisions about our product. In this role, you will be working at the intersection of data insights and product strategy, leveraging data to inform high-impact business and product decisions. You will conduct analysis throughout the product development process, sizing opportunities, analyzing experiments, developing and monitoring key metrics, and informing strategic decisions with data. AI is transforming the customer support and with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation, and you'll be working on it hand in hand with our product development team!

What will you be doing?

- Making actionable recommendations about product strategy and prioritization based on a deep understanding of customer engagement and behavior
- Partnering closely with Engineering, Product, Design, and analytics functions across the company to identify opportunities, drive key metrics, and set strategy across multiple product areas
- Generating insights by conducting exploratory analysis, assessing trends, and analyzing A/B tests
- Evangelizing insights and scaling access to product data, building a data-driven culture across the company
- Collaborating with other data & analytics functions to ensure we have the right data foundations in place

What skills & experience do you need?

- 2+ years of experience in a quantitative role, e.g. analytics, consulting, data science, or an equivalent analytical role conducting quantitative analysis on large datasets
- Bachelor's, Master's, or equivalent degree in a quantitative field (e.g. Economics, Statistics, Computer Science, Mathematics, Data Science, etc.)
- Proficiency using SQL to query large data sets, with a strong understanding of statistics and experimentation
- Full professional English proficiency
- You are impact-focused, eager to jump in and work in a fast-paced environment
- You are a strong critical thinker, excited to solve ambiguous problems
- You are collaborative, forming trusting relationships with your cross-functional teammates and communicating data clearly across a broad audience

Front operates on a hybrid model - we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.

What we offer

- Competitive salary
- Equity (we are post-series D & backed by some of the best VCs in the US)
- Fully covered private health insurance
- Paid parental leave
- Generous paid time off
- Flexibility to work from home Monday and Friday (unless posted as a full-remote role)
- Mental health support with Workplace Options
- Family planning support with Maven
- 75 Euro per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities
- Winter Break - Our offices are closed from Christmas to New Year's Day!

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 &