Lead Analytics Engineer, Looker

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Booksy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

Beauty • Wellness • SaaS

Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

📋 Description

• Lead the AE team, drive a high-performance culture, and support individual career growth. • Drive regular 1-on-1s, give constructive feedback, and handle performance reviews. • Manage team capacity and sprint priorities, balancing tech debt with stakeholder needs. • Help with recruitment and make sure new joiners have a smooth onboarding. • Lead the design, development, and maintenance of centralised Looker semantic models (LookML). • Act as the "Gatekeeper" for Looker, enforcing coding standards, modularity, and performance optimisation. • Establish and manage robust version control and deployment pipelines in GitLab for the semantic layer. • Partner with Data Engineering to define table structures and schemas that optimize for downstream analytical performance. • Translate the business needs of Corporate, Marketing, CS, Sales and GTM Ops Analysts into scalable data models. • Identify manual workflows and automate them using Python scripts, API integrations (Looker API) or Agentic AI. • Modernise the team’s workflow by co-creating and enforcing a disciplined Jira ticketing structure to ensure transparency and velocity.

🎯 Requirements

• Expert-level knowledge of Semantic Layer, LookML, Liquid, and Looker administration. • Experience with Looker API is a huge plus. • Prior experience with migrating from another tool to Looker is highly advantageous. • Proficiency in SQL (advanced window functions, optimisation) and experience with cloud data warehouses (e.g., Snowflake, BigQuery). • At least intermediate knowledge of dbt. • Strong understanding of Git workflows, CI/CD principles, and data modelling methodologies (Kimball, Data Vault, etc.). • Ability to write Python to automate workflows or interact with APIs. • Prior experience with AI Agents within conversational analytics space is highly desirable. • Proven experience leading or mentoring a team of engineers in an agile environment. • The ability to explain complex technical trade-offs to non-technical stakeholders in Marketing or Finance. • A passion for documentation, Jira hygiene, and building repeatable processes.

🏖️ Benefits

• We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in. • Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists. • Work in a welcoming team which is always ready to help. • Opportunity to develop in an international environment - we have teams in 6 countries.