About the Position

Senior Data Analyst

Location: North Carolina, USA

Work Arrangement: 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. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. Our mission is to empower restaurants and consumers to engage and transact anywhere, anytime, and from any device.

Responsibilities

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.
Support ad-hoc analysis for Tillster customers, executives, and internal stakeholders - providing interpretive framing and actionable recommendations.
Operate as a trusted analytics advisor to Marketing, Product, Finance, Engineering, Account Management, and Support/Operations.
Design and support A/B test experiments with statistically valid methodology - including hypothesis definition, sample sizing, success and guardrail metric selection, and results analysis.

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.

BI Development & Semantic Layer

Design, build, and maintain high-performing Explores and dashboards in Looker for business stakeholders.
Develop LookML for owned domains to a high quality standard - including complex dimensions, measures, derived tables, and Explore configurations.
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. Proactively identify and investigate data quality issues 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 optimization, 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.

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.
Mentor Junior Data Analysts through paired analysis, direct feedback, and structured review.
Build and contribute reusable assets to shared team libraries - including SQL query patterns, LookML components, analysis frameworks, and documentation templates.
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 AI-assisted BI platforms to extend self-service beyond traditional dashboard interaction.
Define quality standards for AI-generated analytical outputs.
Prototype and propose AI tooling that reduces repetitive analytical work for the team.

Requirements

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

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

We Offer

Salary: $115,000 - $145,000 DOE
Health Benefits: Medical, dental, vision, FSA benefits, Healthcare and Dependent Care reimbursement programs, EAP, and Optum Care 24-hour confidential medical counseling services.
Holidays: Ten (10) paid holidays per calendar year.
Paid Time Off (PTO): 15 days in the first 12-months, 22 days in subsequent years.
Retirement: 401(k) Plan participation.
Education, Learning & Development: College tuition and education assistance programs, Udemy Learning courses, and ongoing learning opportunities.

About the Company

At Tillster, we are committed to fostering an inclusive and diverse work environment where every team member is respected, empowered, and encouraged to grow. We are dedicated to embracing diversity in all forms and are 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.

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Tillster is proudly an Equal Opportunity Employer

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Senior Data Analyst

Job description