Tillster

Tillster

Senior Data Analyst

North Carolina · Senior · Part-time

Sponsorship not specifiedDetected 82 days ago
PythonCode ReviewGitSQLMachine LearningData AnalysisData EngineeringData ScienceData VisualizationNLPLLMsStatisticsA/B TestingProject ManagementStakeholder ManagementGoogle AnalyticsAccount ManagementRecruitingCustomer SuccessExperimental DesignLeadershipCommunicationCollaborationCritical Thinking

About the role

  • 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.
  • Are you a passionate data analytics with a knack for data?
  • Communicate findings clearly to Product and Marketing stakeholders.

Responsibilities

  • Embrace creativity and pursue new ideas to drive progress and improvement.

Skills

  • Experimental design and statistical testing
  • Hypothesis formulation and results interpretation
  • Descriptive and inferential statistics
  • Trend analysis and anomaly detection
  • Hands-on LLM usage (GPT-4, Gemini, Cortex Analyst)
  • AI agent development and prompt engineering
  • AI output validation and quality standards
  • Cross-functional collaboration (Marketing, Product, Finance, Engineering)
  • Executive communication and presentation
  • Trusted advisor relationships
  • Customer analytics (segmentation, LTV, churn)
  • KPI development and metric definition

Compensation

  • Contribute to at least one standards update, governance policy, or best-practice guide per year.

Benefits

  • All full-time, regular employees and their dependents are eligible for medical, dental, vision and FSA benefits.
  • Additional health benefits include Healthcare and Dependent Care reimbursement programs, Employee Assistance Program ("EAP") and Optum Care 24-hour confidential medical counseling services.
  • Paid Time Off (PTO): Full-time, regular employees earn 15 days of PTO in the first 12-months of continuous service, and 22 days in subsequent years.
  • Eligible part-time employees earn pro-rated PTO.
  • Retirement: Effective with your employment start date, you will be eligible to participate in the 401(k) Plan.
  • Education, Learning & Development: We offer college tuition and education assistance programs; Udemy Learning courses; and ongoing learning and development opportunities.
  • 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.

Company info

  • 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.
  • 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.
  • Do not wait to be asked; 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.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Tillster's careers page and normalized into a canonical job model.