Senior Data Analyst

Data Analyst – Hybrid (Must live in Monterrey, Mexico) 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. Are you a passionate data analytics professional with a knack for data? 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— going beyond data retrieval to provide 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. Translate complex findings into decision‑relevant narratives. 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. Own 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. Business Intelligence Development & Semantic Layer— design, build, and maintain high‑performing Looker Explores and dashboards for stakeholders; develop LookML to a high quality standard; ensure metric definitions are canonical and consistent with analytics engineering guidelines; expand self‑service analytics capabilities. Proactively maintain the accuracy and consistency of production Explores and dashboards as underlying data warehouse structures change. Identify discrepancies before stakeholders encounter them. Data Quality & Platform Collaboration Own the accuracy and freshness of all data products in scope; proactively identify and investigate data quality issues with root‑cause evidence and partner with Analytics Engineers and Data Engineers to resolve upstream problems. 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, providing analytical requirements that inform model design and validating that data models correctly reflect business logic. 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. Understand the structure of data pipelines feeding owned dashboards to diagnose data freshness and quality issues, escalating to the correct team and communicating resolution timelines to stakeholders. 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 to build capability in Junior Analysts. Mentor Junior Data Analysts through paired analysis, direct feedback, and structured review. Track improvement over time; Escalate development needs or blockers to the Manager. Build and contribute reusable assets to shared team libraries— SQL query patterns, LookML components, analysis frameworks, documentation templates—to reduce time‑to‑delivery for the entire team. 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— including automated insight narration, anomaly detection and explanation, and AI‑assisted dashboard annotation. Design and build self‑serve analytics agents that enable non‑technical stakeholders to query data and surface insights in natural language—without raising tickets or requiring analyst intervention. Own the full lifecycle from prompt design through output validation and iteration. Configure Cortex Analyst or equivalent AI‑assisted BI platforms to extend self‑service beyond traditional dashboard interaction—including semantic model templates and YAML definitions that produce accurate, governed responses to unstructured business questions. Define quality standards for AI‑generated analytical outputs— including accuracy validation, hallucination detection, and a review process before AI‑generated insights are shared externally or with executives. Prototype and propose AI tooling that reduces repetitive analytical work for the team. Present prototypes to the Manager with a clear build‑vs‑buy recommendation and documented lessons learned that contribute to the team's shared AI analytics playbook. 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 optimization); 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. 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; 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 of Tillster, you will embody our core values: - Put Customers First: Prioritize the needs and satisfaction of our customers in all decisions and actions appropriate to Tillster’s stage of development, resources, and stated goals. - Collaborate: Work together effectively, leveraging diverse perspectives to achieve common goals. - Innovate: Embrace creativity and pursue new ideas to drive progress and improvement. - Operate from Data: Use strong critical thinking skills to make informed decisions based on accurate and relevant data. - Drive Results: Focus on achieving tangible outcomes and delivering high performance. - Own It: Take responsibility for your actions and the success of your work. - Be Passionate and Have Fun: Bring enthusiasm to your work and enjoy the journey. Legal & Equal Opportunity Statement Mexico’s Federal Labor Law and Constitution prohibit discrimination in hiring and employment practices based on protected characteristics including sex, gender, age, disability, religion, nationality, marital status, health status, sexual orientation, social condition, and other protected categories. (L&E Global) Tillster is proudly an Equal Opportunity Employer. We do not discriminate based on race, color, religion, national origin, gender identity, sexual orientation, age, family/parental status, marital status, veteran status, disability, or any other protected status. No Visa Sponsorship. #J-18808-Ljbffr