Data Analyst

Tillster • San Diego, CA

11d • €70,000 - €85,000

About The Position

The Data Analyst is a mid-level individual contributor who owns smaller analytical domains end-to-end and is developing the independence, analytical depth, and stakeholder skills needed to progress to Senior level. The role delivers analysis from scoping through presentation and stakeholder follow-through, supports stakeholders across Marketing, Product, Finance, and Account Management, and begins to proactively identify meaningful trends and anomalies.

The analyst builds and maintains Looker dashboards and Explores, develops documented LookML, contributes to shared semantic-layer standards, and helps expand self-service analytics. The role also supports GA4 reporting and A/B testing under guidance from the Senior Data Analyst, while developing capability in those areas for future independent ownership.

The position takes responsibility for data accuracy in assigned outputs, investigates discrepancies, writes performant SQL, and collaborates with Data Engineering and Analytics Engineering on data quality, query optimization, pipelines, and LookML architecture. It follows and contributes to team coding and documentation standards, participates in code reviews, supports Junior Analysts, and applies AI and LLM tools to analytics workflows. Continuous learning across SQL, Python, statistical analysis, and cloud data platforms is expected.

The role is with Tillster. The listed salary is $90,000–$130,000 DOE. The posting states that visa sponsorship is not available.

Requirements

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering, or equivalent practical experience.
• 2–4 years of experience in a data analytics or BI role.
• Strong SQL skills, including window functions and CTEs.
• At least 2 years of hands-on experience with Looker and LookML development.
• Experience with AWS or Google Cloud data warehouses, such as Redshift or BigQuery.
• Demonstrable experience building dashboards and Explores for non-technical business users.
• Working knowledge of software development best practices, including Git, PR reviews, and code style guides.
• Working knowledge of agile development processes.
• Ability to translate business questions into analytical tasks with growing independence.
• Clear, confident written and verbal communication with business stakeholders.

Nice To Haves

• Exposure to A/B testing concepts and basic experimental design.
• Foundational Python skills for data manipulation or automation.
• Familiarity with GA4 reporting and tracking fundamentals.
• Experience with AI or LLM tools applied to analytics workflows.
• Experience with Linux/OSX command line and Git.
• Understanding of ELT pipeline concepts and cloud data infrastructure.
• Prior experience mentoring or supporting more junior colleagues.

Responsibilities

• Deliver analytical work end-to-end for assigned business areas, from scoping and analysis through presentation and stakeholder follow-through.
• Support ad-hoc analysis for Marketing, Product, Finance, and Account Management, providing interpretation alongside data outputs.
• Proactively surface trends, anomalies, and data-driven observations to stakeholders.
• Support A/B testing under the Senior Data Analyst’s guidance, including data preparation, metric tracking, and results summaries.
• Support GA4 reporting, tracking-plan validation, and custom dimension and metric implementation.
• Develop working knowledge of GA-to-warehouse integration and tagging practices.
• Design, build, and maintain Looker dashboards and Explores for assigned business areas.
• Develop and document LookML dimensions, measures, derived tables, and Explore configurations in accordance with team standards.
• Identify metric-definition inconsistencies in the shared semantic layer and propose resolutions with the Senior Data Analyst and Analytics Engineering team.
• Expand self-service analytics for non-technical stakeholders and maintain accuracy of production Explores and dashboards as warehouse structures evolve.
• Investigate discrepancies in assigned dashboards and analytical outputs, and escalate upstream issues to Data Engineering with root-cause evidence.
• Write performant SQL, including window functions and CTEs, and collaborate with Data Engineers on query optimization and derived-table design.
• Develop enough understanding of data pipelines feeding owned dashboards to diagnose freshness and quality issues and communicate resolution timelines.
• Collaborate with Analytics Engineers on LookML architecture and semantic-layer requirements for owned areas.
• Follow and contribute to coding standards, SQL style guides, LookML conventions, documentation requirements, and PR review processes.
• Participate in code reviews and provide constructive feedback.
• Support Junior Analysts through paired work and direct feedback under the Senior Data Analyst’s guidance.
• Partner with Senior Analysts, Data Engineers, and business stakeholders; clarify questions early and communicate blockers and timelines proactively.
• Use AI and LLM tools to accelerate SQL generation, LookML authoring, documentation, and exploratory analysis.
• Experiment with AI-assisted insight narration and anomaly detection and share learnings with the team.
• Develop familiarity with self-serve analytics agent concepts such as Cortex Analyst or equivalent.
• Continue developing skills in advanced SQL, Python, statistical analysis, and cloud data platforms.
• Build toward independent ownership of experimentation, GA4, and stakeholder advisory at Senior level.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level