
51 - 200 employees
🤖 Artificial Intelligence
đź›’ Retail
🏢 Enterprise
Artificial Intelligence • Retail • Enterprise
Focal Systems is an innovative technology company focused on transforming retail operations through the deployment of advanced artificial intelligence and computer vision technologies. Their flagship product, FocalOS, automates decision-making processes within retail environments, optimizing order writing, inventory updates, and labor schedules to enhance efficiency and productivity. By utilizing ruggedized cameras and AI, Focal provides real-time shelf insights and automates tasks, significantly reducing food waste and operational costs for retailers. The company's mission is to lower living costs worldwide by enabling retailers to improve efficiency, reduce waste, and ultimately, lower prices for consumers.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
đź’µ ÂŁ121k - ÂŁ137k / year
⏰ Full Time
đź”´ Lead
đź‘” Director
đź‘» Ghost score 0%
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51 - 200 employees
🤖 Artificial Intelligence
đź›’ Retail
🏢 Enterprise
Artificial Intelligence • Retail • Enterprise
Focal Systems is an innovative technology company focused on transforming retail operations through the deployment of advanced artificial intelligence and computer vision technologies. Their flagship product, FocalOS, automates decision-making processes within retail environments, optimizing order writing, inventory updates, and labor schedules to enhance efficiency and productivity. By utilizing ruggedized cameras and AI, Focal provides real-time shelf insights and automates tasks, significantly reducing food waste and operational costs for retailers. The company's mission is to lower living costs worldwide by enabling retailers to improve efficiency, reduce waste, and ultimately, lower prices for consumers.
• Own the analytics architecture end to end, from the Snowflake warehouse and dbt transformation layer through to the BI/reporting layer • Set and evolve BI tooling strategy, evaluating Sigma versus alternatives such as Looker, Tableau, Power BI, Hex, or Mode • Lead, hire, and develop a team of analysts and analytics engineers • Partner with Product, Customer Success, and Engineering to define key metrics and build self-serve reporting • Translate business questions into well-scoped analytical work • 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 product availability, store performance, and inventory accuracy
• Strong technical chops in SQL and the modern data stack (warehouse, transformation layer, BI layer) • Experience leading or growing a team of analysts or analytics engineers • Ability to own ambiguous, open-ended analytical problems • Ability to communicate findings crisply to technical and non-technical audiences, including executives • 8+ years of experience in analytics, with 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; Snowflake strongly preferred • 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
• Competitive Salary & Attractive Stock • Generous Paid Time Off • Pension • Sick Leave • Parental Leave • Learning and Development Budget
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