our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate – one store at a time.
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights – all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail – were building it.
At our company, were building the in-store operating system of the future – powered by AI and real-world data. With dozens of autonomous store and Loss Prevention deployments (and hundreds more coming), we are generating a massive volume of operational data. Now its time to turn that data into strategic value – for our team and our customers.
To ensure our live deployments deliver maximum impact, were looking for a hands-on, insights-driven Senior Data Analyst to lead performance tracking and optimization for our product and customers.
As Senior Data Analyst, youll be responsible for analyzing production data to monitor store performance, improve current operations, and provide insights that shape our companys future roadmap. Youll also structure and manage how operational data is collected, aggregated, and analyzed, ensuring it delivers actionable value across teams.
This role sits within the Customer Performance team – our group responsible for ensuring our deployments perform at their best and deliver measurable value. Youll collaborate closely with Operations, Product, R&D, Customer Success, and our retail partners.
A day in the life
Analyze production data from live stores to assess system performance and customer behavior.
Track and report on agreed KPIs with retail partners, ensuring we deliver against operational commitments.
Manage and structure operational data – defining what is included in analysis and how it is aggregated.
Collaborate with Data Engineering to analyze, maintain, and improve ETL workflows and data pipelines, ensuring data is accurate, timely, and accessible for analysis.
Build dashboards to surface insights internally and for retailer-facing teams.
Provide insights that inform both current operational improvements and our companys product roadmap.
Liaise with cross-functional teams (Operations, Product, R&D, Customer Success) to proactively suggest system enhancements.
Communicate complex KPIs, concepts, and insights in a clear, structured, and compelling way, tailored to technical and non-technical audiences.
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate – one store at a time.
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights – all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail – were building it.
At our company, were building the in-store operating system of the future – powered by AI and real-world data. With dozens of autonomous store and Loss Prevention deployments (and hundreds more coming), we are generating a massive volume of operational data. Now its time to turn that data into strategic value – for our team and our customers.
To ensure our live deployments deliver maximum impact, were looking for a hands-on, insights-driven Senior Data Analyst to lead performance tracking and optimization for our product and customers.
As Senior Data Analyst, youll be responsible for analyzing production data to monitor store performance, improve current operations, and provide insights that shape our companys future roadmap. Youll also structure and manage how operational data is collected, aggregated, and analyzed, ensuring it delivers actionable value across teams.
This role sits within the Customer Performance team – our group responsible for ensuring our deployments perform at their best and deliver measurable value. Youll collaborate closely with Operations, Product, R&D, Customer Success, and our retail partners.
A day in the life
Analyze production data from live stores to assess system performance and customer behavior.
Track and report on agreed KPIs with retail partners, ensuring we deliver against operational commitments.
Manage and structure operational data – defining what is included in analysis and how it is aggregated.
Collaborate with Data Engineering to analyze, maintain, and improve ETL workflows and data pipelines, ensuring data is accurate, timely, and accessible for analysis.
Build dashboards to surface insights internally and for retailer-facing teams.
Provide insights that inform both current operational improvements and our companys product roadmap.
Liaise with cross-functional teams (Operations, Product, R&D, Customer Success) to proactively suggest system enhancements.
Communicate complex KPIs, concepts, and insights in a clear, structured, and compelling way, tailored to technical and non-technical audiences.
Requirements:
A degree in a quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics, Economics).
A strong analytical and statistical mindset, with the ability to spot trends in noisy data and distinguish causation from correlation.
4+ years of experience in a data-focused role (e.g., Data Analyst, BI Analyst, Operations Insights, or similar).
Strong SQL skills; familiarity with modern data workflows preferred.
Experience working with data pipelines and ETL (Extract, Transform, Load) processes, including optimizing data ingestion, transformation, and aggregation workflows.
Experience with a coding language for data analysis (preferably Python, but R or similar is also relevant).
Hands-on experience with at least one modern BI platform (e.g., Looker, Tableau, Metabase, Power BI).
Excellent communication and storytelling skills – able to explain complex data and KPIs in a structured, clear, and impactful way.
Proven ability to work cross-functionally and influence stakeholders across technical and business teams.
Self-driven and independent, with the ability to thrive in a distributed team environment.
A degree in a quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics, Economics).
A strong analytical and statistical mindset, with the ability to spot trends in noisy data and distinguish causation from correlation.
4+ years of experience in a data-focused role (e.g., Data Analyst, BI Analyst, Operations Insights, or similar).
Strong SQL skills; familiarity with modern data workflows preferred.
Experience working with data pipelines and ETL (Extract, Transform, Load) processes, including optimizing data ingestion, transformation, and aggregation workflows.
Experience with a coding language for data analysis (preferably Python, but R or similar is also relevant).
Hands-on experience with at least one modern BI platform (e.g., Looker, Tableau, Metabase, Power BI).
Excellent communication and storytelling skills – able to explain complex data and KPIs in a structured, clear, and impactful way.
Proven ability to work cross-functionally and influence stakeholders across technical and business teams.
Self-driven and independent, with the ability to thrive in a distributed team environment.
This position is open to all candidates.
