Senior Data Analyst

Senior Data Analyst HYBRID – MUST WORK EST (Eastern Standard Time, United States) 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 – providing 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, challenging assumptions 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, guard‑rail 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, owning 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, owning deliverables end‑to‑end with minimal re‑work. Develop LookML for owned domains to a high quality standard – including complex dimensions, measures, derived tables, and explore configurations. Ensure all LookML is documented, tested, and consistent with organisational‑wide semantic layer standards. 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, targeting coverage across at least two new business units per half‑year. Proactively maintain the accuracy and consistency of production explores and dashboards as underlying data warehouse structures change. Data Quality & Platform Collaboration Own the accuracy and freshness of all data products in scope, proactively identifying and investigating data quality issues with root‑cause evidence. Write high‑quality, performant SQL – including complex window functions and CTEs – collaborating with Data Engineers on query optimisation and compute cost efficiency. Collaborate with Analytics Engineers on LookML architecture and semantic layer design for owned domains, providing analytical requirements that inform model design. Partner with the Senior BI & AI Analyst on customer analytics definitions for segmentation, LTV, and churn use‑cases, consuming ML model outputs from the Data Science team and surfacing them accurately in dashboards. Understand the structure of data pipelines feeding owned dashboards sufficiently 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 that are substantive, consistent, and designed to build capability in Junior Analysts. Mentor Junior Data Analysts through paired analysis, direct feedback, and structured review, tracking improvement over time. Build and contribute reusable assets to shared team libraries – reducing 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 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. Configure Cortex Analyst or equivalent AI‑assisted BI platforms to extend self‑service beyond traditional dashboard interaction. Define quality standards for AI‑generated analytical outputs – including accuracy validation, hallucination detection, and a review process before sharing externally or with executives. Prototype and propose AI tooling that reduces repetitive analytical work for the team, presenting prototypes to the Manager with a clear build‑vs‑buy recommendation. 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 optimisation); 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, 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 customer needs and satisfaction in all decisions and actions. 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. Interview Process Recruiter interview with a Talent Acquisition Specialist. Interview with Data Science Team. Final interview with our Data Science Team Leader. Pay and Benefits (USA) Salary range is $115,000k – $145,000k DOE. Health 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. Holidays – The company observes ten (10) paid holidays per calendar year. 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. No Visa Sponsorship Tillster is proudly an Equal Opportunity Employer Apply for this position #J-18808-Ljbffr Tillster