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-timeNorth Carolina • United StatesSenior💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL, LookML, and GA4 for advanced analytics and reporting, while effectively managing stakeholder relationships and leading analytical projects. Proficient in A/B testing, statistical analysis, and AI-augmented analytics to drive actionable insights across business units.

Highest-signal resume keywords

Advanced SQLLookML DevelopmentGA4 ImplementationA/B TestingStakeholder Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLLookMLStatistical AnalysisA/B TestingData VisualizationPythonData ManipulationAnalytical FrameworksKPI DevelopmentPerformance Tuning

Soft Skills

Cross-Functional CollaborationExecutive CommunicationMentoringProject ManagementTeam Leadership

Tools & Technologies

Google AnalyticsLookerCortex AnalystAI ToolsData Warehouse

Industry Keywords

Business AnalyticsData QualityTrend AnalysisAnomaly DetectionSelf-Service Analytics

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 identify 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 on analytics
Design and support statistically valid A/B tests, including hypotheses, sample sizing, success metrics, guardrails, and results analysis
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, including dimensions, measures, derived tables, and Explore configurations
Maintain canonical metric definitions and resolve semantic-layer discrepancies
Expand self-service analytics for non-technical users across multiple business units
Monitor data-product accuracy and freshness and resolve upstream data-quality issues with Analytics and Data Engineers
Write performant SQL and collaborate on query optimization, compute-cost efficiency, and derived-table design
Partner on semantic-layer architecture and customer analytics for segmentation, LTV, and churn
Consume Data Science ML outputs and accurately surface them in dashboards and narratives
Own SQL, LookML, documentation, and code-review standards
Mentor Junior Data Analysts and contribute reusable analytical assets and best-practice guides
Apply LLM and AI tools to accelerate analytics workflows
Design and build natural-language self-service analytics agents
Configure Cortex Analyst or equivalent AI-assisted BI platforms
Define validation standards for AI-generated analytical outputs
Prototype AI tooling and present build-versus-buy recommendations to the Manager

Requirements

What you’ll need

5–7 years of total experience in core technical skills
4–5 years of advanced SQL, including window functions, CTEs, query optimization, complex analytical queries, and performance tuning
3–4 years of experience with Looker, 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 experience preferred, including data manipulation, automation, Git, and code review
2–3 years of A/B testing and experimentation experience
3–4 years of statistical analysis experience, including descriptive and inferential statistics, trend analysis, and anomaly detection
1–2 years of hands-on AI-augmented analytics experience 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 experience, including cross-functional collaboration and executive communication
3–4 years of business analytics experience, including segmentation, LTV, churn, KPI development, metric definition, and analytical frameworks
2–3 years of team leadership experience, including mentoring junior analysts, code review, standards enforcement, and documentation
3–4 years of project management experience, including end-to-end analytical project ownership and managing concurrent initiatives
No visa sponsorship

Benefits

Comp & perks

Medical, dental, vision and FSA benefits
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 of PTO in the first 12 months of continuous service
22 days of PTO 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