[Hiring] Analytics Engineering Lead @Booksy

Role Description

As the Data Analytics Lead, you will be the primary architect of our data’s "source of truth." You will lead a team of high-performing Analytics Engineers dedicated to transforming raw data into actionable insights through a sophisticated Looker semantic layer.

• Shape the future of our data ecosystem by mentoring team members.
• Manage sprint priorities and drive a high-performance culture.
• Serve as the main guardian of our Looker architecture.
• Establish robust CI/CD pipelines in GitLab.
• Partner with Data Engineering to optimize table structures.
• Work closely with cross-functional partners in Marketing, Finance, and GTM Ops.
• Turn complex business needs into scalable data models.
• Leverage Python, Looker APIs, or AI solutions to automate repetitive workflows.

Qualifications

• 2+ years of experience leading or mentoring data or analytics engineers in an agile environment.
• Track record of supporting individual career growth and fostering strong feedback cultures.
• Deep expertise in building and maintaining enterprise semantic layers in Looker (LookML, Liquid, administration).
• Advanced SQL skills and hands-on experience with modern cloud data warehouses like Snowflake or BigQuery.
• Engineering-first mindset with hands-on experience in Git workflows and CI/CD pipelines.
• Structured data modelling methodologies like Kimball or Data Vault.
• Practical scripting capability in Python to integrate with APIs and automate workflows.
• Fluent English language skills (C1).

Requirements

• Real-world experience migrating legacy analytics environments over to Looker.
• Experience integrating AI Agents into conversational analytics workflows.
• Strong cross-functional storytelling skills to translate intricate data trade-offs for non-technical stakeholders.
• A natural pull toward operational efficiency, clear documentation, and clean Jira workflows.

Benefits

• Remote-first work environment with office access depending on location.
• Additional benefits that may differ depending on the location.
• Work in a welcoming team that is always ready to help.
• Opportunity to develop in an international environment with teams in 6 countries.