Senior Data Analyst

Tillster

. Own end-to-end delivery of complex analytical initiatives from business-question framing through execution, presentation, and stakeholder follow-through .

Posted 9/16/2026full-timeAustin • Texas • United StatesSenior💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced SQL, Looker, and GA4 for data analysis and visualization, while effectively managing stakeholder communication and project ownership. Proficient in A/B testing, statistical analysis, and AI-augmented analytics to drive actionable insights and enhance self-service capabilities.

Highest-signal resume keywords

Advanced SQLLooker ExpertiseGA4 ImplementationA/B TestingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLLookML DevelopmentData VisualizationStatistical AnalysisA/B TestingPythonData ManipulationAnalytical FrameworksKPI DevelopmentAI-Augmented Analytics

Soft Skills

Stakeholder ManagementExecutive CommunicationCross-Functional CollaborationMentoringProject Management

Tools & Technologies

Google AnalyticsLookerCortex AnalystAI ToolsGit

Industry Keywords

Business AnalyticsData QualityMetric DefinitionTrend AnalysisAnomaly Detection

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own end-to-end delivery of complex analytical initiatives from business-question framing through execution, presentation, and stakeholder follow-through
Proactively surface KPI trends, anomalies, opportunities, and risks
Support ad-hoc analysis for customers, executives, and internal stakeholders with actionable recommendations
Advise Marketing, Product, Finance, Engineering, Account Management, and Support/Operations
Design and support statistically valid A/B test experiments
Serve as the primary Google Analytics subject matter expert for GA4 reporting, custom dimensions and metrics, tracking validation, and warehouse integration
Design, build, and maintain Looker Explores and dashboards
Develop, document, and test LookML for owned domains
Ensure canonical and consistent metric definitions across the semantic layer
Expand self-service analytics capabilities across business units
Maintain production Explore and dashboard accuracy as warehouse structures change
Investigate data-quality issues and partner with Analytics Engineers and Data Engineers on upstream resolution
Write performant SQL and collaborate on query optimization, compute-cost efficiency, and derived-table design
Collaborate on LookML architecture and semantic-layer design
Partner on customer analytics definitions for segmentation, LTV, and churn; accurately surface ML model outputs
Diagnose data freshness and quality issues in dashboard pipelines
Own team coding standards, analytical best practices, documentation, and PR review processes
Mentor Junior Data Analysts and escalate development needs to the Manager
Build reusable SQL, LookML, analysis, and documentation assets
Contribute to standards, governance, and best-practice updates
Apply LLM and AI tools to accelerate analytics workflows
Design and build self-service analytics agents for natural-language data queries
Configure Cortex Analyst or equivalent AI-assisted BI platforms
Define quality standards for AI-generated analytical outputs
Prototype AI tooling and present build-vs-buy recommendations to the Manager

Requirements

What you’ll need

5–7 years of total experience
4–5 years of advanced SQL, including window functions, CTEs, query optimization, complex analytical queries, and performance tuning
3–4 years of Looker expertise, including LookML development, Explores, dashboards, data visualization, and self-service analytics design
2–3 years of GA4 implementation, configuration, reporting, tracking strategy, and warehouse integration
1–2 years of Python/programming preferred, including data manipulation, automation, Git, and code review
2–3 years of A/B testing and experimentation, including experimental design, statistical testing, hypothesis formulation, and results interpretation
3–4 years of statistical analysis, including descriptive and inferential statistics, trend analysis, and anomaly detection
1–2 years of hands-on AI-augmented analytics using GPT-4, Gemini, Cortex Analyst, or equivalent
Experience with AI agent development, prompt engineering, AI output validation, and quality standards
4–5 years of stakeholder management, executive communication, presentation, and cross-functional collaboration
3–4 years of business analytics, including segmentation, LTV, churn, KPI development, metric definition, and translating business questions into analytical frameworks
2–3 years of team leadership, mentoring junior analysts, code review, standards enforcement, and documentation
3–4 years of project management and end-to-end analytical project ownership
No visa sponsorship

Benefits

Comp & perks

Medical, dental, vision and FSA benefits for full-time regular employees and dependents
Healthcare and Dependent Care reimbursement programs
Employee Assistance Program (EAP)
Optum Care 24-hour confidential medical counseling services
Ten paid holidays per calendar year
15 days PTO during the first 12 months; 22 days in subsequent years
Pro-rated PTO for eligible part-time employees
Eligibility to participate in the 401(k) Plan from employment start date
College tuition and education assistance programs
Udemy Learning courses
Ongoing learning and development opportunities