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 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 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.
Nice to have
Experience in retail operations, e-commerce, or other customer-facing industries.
Exposure to autonomous systems, computer vision, or IoT environments.
Ability to work effectively across different cultures (e.g., Israeli and European teams).
Familiarity with KPI frameworks and performance tracking in complex deployments.
This position is open to all candidates.