Lead, Analytics Engineer

About Us

Perk (formerly Travel Perk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we’re on a mission to power real work, with real impact.

We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.

Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.

At Perk, we’re driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team.

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The Lead Analytics Engineering is a team leadership role designed to transform our data capabilities into a value-driving product engine. You will act as a "multiplier" - shielding your team from operational friction, fostering a culture of ownership, and ensuring that our data products are scalable, cost-efficient, and strategically aligned with business goals.

As one of two Leads, you will co-own our Analytics Engineering standards, ensuring a unified and streamlined AE experience across the entire department that allows our AEs to become a high performing team that delivers what the business needs to make better decisions.

• Move the team to a "product-thinking" approach. Ensure every model has a clear owner (individual or squad), defined SLAs, and documented business value.

• Proactively identify and remove systemic bottlenecks in the development lifecycle to keep the team in a flow state.

• Own our Looker visualisation environment and deliver the dashboard solutions that drive scalable decision making.

• Review and create a framework/ user journey/ process that makes it easy for users to find the information they need quickly - including combining with other data information sources

• Design, develop, and maintain an efficient and scalable workflow environment using tools like dbt to transform raw data into clean, ready-to-use data models.

• Partner with your peer AE Lead to maintain a single, unified Analytics Engineering standard. Ensure that an AE can move between teams seamlessly with consistent tooling, logic, and expectations.

• In collaboration with Data Engineering, co-author and enforce high-bar AE standards, including modularity, code principles and comprehensive testing that deliver high Data Quality.

• Take ownership of the commercial impact of our code. Monitor Snowflake/ Looker resource consumption and mentor the team on writing cost-efficient, performant SQL.

• Work with the Data Product Partner team to Implement Business and Technical ownership expectations and robust monitoring to move the team from reactive to proactive reliability.

• Lead our AE hiring to attract and retain top-tier AE talent, focusing on both technical mastery and commercial curiosity. Create/ update the job descriptions for the roles in your team.

• Develop and execute career growth frameworks. Conduct high-frequency open and honest feedback sessions and facilitate technical Guilds for continuous peer learning.

• You are expected to perform code reviews and step in to tackle complex challenges alongside your team as well as providing IC support where necessary.

• Ensure that the team focuses on how to build things right, partnering closely with…