Senior Data Analyst

Senior Data Analyst

HYBRID - MUST WORK EST (Eastern Standard Time, United States)

Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self‑service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi‑unit restaurants.

We offer one platform: one scalable, enterprise‑class solution – to create world‑class digital engagement solutions. Our mission and passion are one in the same:
Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device – one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e‑commerce in restaurants and making the till grow for Tillster and our customers.

• Own the end‑to‑end delivery of complex analytical initiatives – from framing the business question and scoping the analysis through execution, presentation, and follow‑through on stakeholder action.
• Proactively surface KPI trends, anomalies, opportunities, and risks before stakeholders encounter them.
• Support ad‑hoc analysis for Tillster customers, executives, and internal stakeholders – providing interpretive framing and actionable recommendations with a clear point of view.
• Operate as a trusted analytics advisor to Marketing, Product, Finance, Engineering, Account Management, and Support/Operations.
• Challenge assumptions in business requests where data tells a different story.
• Design and support A/B test experiments with statistically valid methodology – including hypothesis definition, sample sizing, success … and guardrail metric selection, and results analysis.
• Communicate findings clearly to Product and Marketing stakeholders.

• Act as the team's primary Google Analytics subject‑matter expert – owning GA4 reporting, custom dimensions and metrics design, tracking plan validation, and GA‑to‑warehouse integration.
• Advise on tagging strategy for new product features and platform launches in partnership with the Lead Mar Tech Solutions Architect.

• Design, build, and maintain high‑performing Explores and dashboards in Looker for business stakeholders – owning deliverables end‑to‑end with minimal re‑work.
• Develop LookML for owned domains to a high quality standard – including complex dimensions, measures, derived tables, and Explore configurations.
• Document, test, and ensure all LookML is consistent with organisation‑wide semantic layer standards.
• Ensure metric definitions in owned domains are canonical, unambiguous, and consistent with the definitions governed by the Analytics Engineering team.
• Expand self‑service analytics capabilities – enabling non‑technical users across Marketing, Customer Success, and Finance to answer their own questions independently.

• Own the accuracy and freshness of all data products in scope.
• Investigate data quality issues with root‑cause evidence and partner with Analytics Engineers and Data Engineers to resolve upstream problems promptly.
• Write high‑quality, performant SQL – including complex window functions and CTEs – and collaborate with Data Engineers on query optimisation, compute cost efficiency, and derived table design for owned analytical workloads.
• Collaborate with Analytics Engineers on LookML architecture and semantic layer design for owned domains.
• Partner with the Senior BI & AI Analyst on customer analytics definitions for segmentation, LTV, and churn use cases.
• Consume ML model outputs from the Data Science team and surface them accurately in dashboards and analytical narratives.
• Diagnose data freshness and quality issues by understanding the structure of data pipelines feeding owned dashboards.

• Own coding standards and analytical best practices for the team – including SQL style guides,…