Data Analyst

Tillster • San Diego, CA

9d

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 and insights for assigned business areas, builds and maintains Looker dashboards and Explores, contributes to the shared semantic layer, and takes responsibility for data accuracy in owned outputs. The analyst works closely with senior analysts, data and analytics engineers, and business stakeholders, while building toward independent ownership of experimentation, GA4, and stakeholder advisory.

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, with minimal re-direction.
• 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 Senior DA guidance, including data preparation, metric tracking, and results summaries.
• Support GA4 reporting, tracking plan validation, and custom dimension and metric implementation.
• Design, build, and maintain Looker dashboards and Explores for assigned business areas.
• Develop and document LookML, including dimensions, measures, derived tables, and Explore configurations, consistently with team standards.
• Contribute to the shared semantic layer by identifying metric-definition inconsistencies and proposing resolutions with the Senior DA and Analytics Engineering team.
• Expand self-service analytics for non-technical stakeholders and maintain production Explore and dashboard accuracy as warehouse structures evolve.
• Investigate data discrepancies and escalate upstream issues to Data Engineering with root-cause evidence.
• Write performant SQL and collaborate with Data Engineers on query optimization and derived-table design.
• Diagnose freshness and quality issues in pipelines feeding owned dashboards and communicate resolution timelines to stakeholders.
• 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 Senior DA 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 analytics workflows, 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.

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.
• 15 days of PTO in the first 12 months of continuous service and 22 days in subsequent years for full-time, regular employees; eligible part-time employees receive pro-rated 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