Senior Data Analyst

Senior Data Analyst HYBRID - MUST WORK EST (Eastern Standard Time, United States) About Tillster 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. Job Duties Analytics & Insight Delivery 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. Google Analytics & Data Collection 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 MarTech Solutions Architect. BI Development & Semantic Layer 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. Data Quality & Platform Collaboration 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. Standards, Mentorship & Team Development Own coding standards and analytical best practices for the team – including SQL style guides, LookML conventions, documentation requirements, and PR review processes. Conduct structured code reviews that are substantive, consistent, and designed to build capability in Junior Analysts. Mentor Junior Data Analysts through paired analysis, direct feedback, and structured review. Build and contribute reusable assets to shared team libraries. Contribute to at least one standards update, governance policy, or best‑practice guide per year. AI‑Augmented Analytics & Self‑Serve Agent Development Apply LLM and AI tools (Gemini, GPT‑4, Cortex Analyst, or equivalent) hands‑on to accelerate analytics workflows. Design and build self‑serve analytics agents that enable non‑technical stakeholders to query data and surface insights in natural language. Configure Cortex Analyst or equivalent AI‑assisted BI platforms to extend self‑service beyond traditional dashboard interaction. Define quality standards for AI‑generated analytical outputs – including accuracy validation, hallucination detection, and a review process. Prototype and propose AI tooling that reduces repetitive analytical work for the team. Skills Required with Years of Experience Core Technical Skills (5‑7 years total experience) SQL & Data Analysis – 4‑5 years Advanced SQL – window functions, CTEs, query optimisation. Complex analytical queries and performance tuning. Business Intelligence Tools – 3‑4 years Looker expert – LookML development, Explores, dashboards. Data visualization and self‑service analytics design. Google Analytics – 2‑3 years GA4 implementation, configuration, and reporting. Tracking strategy and warehouse integration. Python / Programming – 1‑2 years (preferred) Data manipulation and automation. Version control (Git) and code review. Statistical & Analytical Skills (3‑5 years) A/B Testing & Experimentation – 2‑3 years Experimental design and statistical testing. Hypothesis formulation and results interpretation. Statistical Analysis – 3‑4 years Descriptive and inferential statistics. Trend analysis and anomaly detection. AI & Emerging Technologies (1‑2 years) AI‑Augmented Analytics – 1‑2 years Hands‑on LLM usage (GPT‑4, Gemini, Cortex Analyst). AI agent development and prompt engineering. AI output validation and quality standards. Business & Communication Skills (4‑6 years) Stakeholder Management – 4‑5 years Cross‑functional collaboration (Marketing, Product, Finance, Engineering). Executive communication and presentation. Trusted advisor relationships. Business Analytics – 3‑4 years Customer analytics – segmentation, LTV, churn. KPI development and metric definition. Translating business questions to analytical frameworks. Leadership & Mentorship (2‑3 years) Team Leadership – 2‑3 years Mentoring junior analysts. Code review and standards enforcement. Building team best practices and documentation. Project Management – 3‑4 years End‑to‑end analytical project ownership. Managing multiple concurrent initiatives. Proactive insight delivery. Thriving at Tillster As a member on the Tillster team, you will embody our core values: Put Customers First, Collaborate, Innovate, Operate from Data, Drive Results, Own It, and Be Passionate and Have Fun. These values guide every decision and action within the company. Interview Process Recruiter interview with a Talent Acquisition Specialist. Interview with Data Science Team. Final interview with the Data Science Team Leader. Pay & Benefits (USA) Salary range: $115,000 – $145,000 DOE. Health Benefits: Eligible for medical, dental, vision, FSA, and additional programmes including Healthcare and Dependent Care reimbursement, Employee Assistance Programme, and Optum Care 24‑hour confidential medical counselling. Holidays: Ten paid holidays per calendar year. Paid Time Off: 15 days in the first 12 months of continuous service, 22 days in subsequent years. Part‑time employees receive pro‑rated PTO. Retirement: Eligible to participate in the 401(k) plan beginning at employment start date. Education and Learning: College tuition and education assistance, Udemy courses, and ongoing learning opportunities. Equal Opportunity Employer Tillster is proudly an equal‑opportunity employer and does not discriminate based on race, color, religion, national origin, gender identity, sexual orientation, age, family or parental status, marital status, veteran status, disability, or any other protected status. #J-18808-Ljbffr Tillster