Focalsystems
Director of Analytics
Remote, based within United Kingdom only.. Posted a month ago
The role
You will own the full analytics path from the data warehouse to BI tooling. You will lead a team of analysts and analytics engineers and set the technical direction for the analytics stack.
What you will do
- Own the analytics architecture end to end from Snowflake and dbt to the BI layer
- Set and evolve BI tooling strategy
- Lead, hire, and develop a team of analysts and analytics engineers
- Partner with Product, Customer Success, and Engineering to define metrics and build reporting
- Establish data modeling standards, testing, and governance across dbt models
- Own data security and access controls across the warehouse and BI layer
- Build and own executive-facing reporting on core business metrics
Required qualifications
- 8+ years of experience in analytics
- At least 3 years directly managing or leading a team
- Deep hands-on SQL, including complex CTEs, window functions, and query optimization
- Real experience running a cloud data warehouse
- Hands-on experience with dbt or a comparable transformation layer
- Track record evaluating, migrating, or scaling BI tools
- Experience translating messy operational data into decisions executives act on
- Excellent written and verbal communication
- Comfortable operating remote-first, across a distributed team
Nice to have
- Snowflake strongly preferred
- Experience with IoT, sensor, or computer-vision-derived data (high-volume, noisy, real-time)
- Python for analytics engineering or pipeline work
- Experience scaling an analytics function inside a growth-stage startup
- Background in retail, grocery, logistics, or other operationally complex environments
- Experience mentoring managers, not just individual contributors
Benefits
- Competitive Salary & Attractive Stock
- Generous Paid Time Off
- Pension
- Sick Leave
- Parental Leave
- Learning and Development Budget
About the company
Focal Systems is an industry leader in retail AI solutions and a Deep Learning first company. Their mission is to automate and optimize brick and mortar retail using deep learning computer vision.