Data Analyst

Tillster • Los Angeles, CA

10d

About The Position

The Data Analyst is a mid-level individual contributor who owns smaller analytical domains end-to-end and is building the independence, analytical depth, and stakeholder skills needed to progress to Senior level. The role delivers analysis, dashboards, and business insights with limited direction; contributes to team standards; and begins proactively surfacing important trends and anomalies.

The analyst works with stakeholders across Marketing, Product, Finance, and Account Management, and partners with Senior Analysts, Data Engineers, and Analytics Engineers. The role develops and maintains Looker dashboards, Explores, and LookML, supports GA4 reporting and A/B testing, investigates data quality issues, and helps expand self-service analytics. It also applies AI and LLM tools to analytics workflows and supports team learning and quality through code reviews, documentation, and paired work with Junior Analysts.

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.
• 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 end-to-end analytical work for assigned business areas, from scoping and analysis through presentation and stakeholder follow-through, with minimal re-direction.
• Support ad-hoc analysis for internal stakeholders, providing interpretation and framing alongside data outputs.
• Proactively surface trends, anomalies, and data-driven observations to stakeholders.
• Support A/B testing experiments through data preparation, metric tracking, and results summaries under Senior Data Analyst guidance.
• 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 documented LookML, including dimensions, measures, derived tables, and Explore configurations, consistent with team standards.
• Identify inconsistencies in shared semantic-layer metric definitions and propose resolutions in collaboration with the Senior Data Analyst and Analytics Engineering team.
• Expand self-service analytics for non-technical stakeholders.
• Maintain the accuracy and consistency of production Explores and dashboards as data 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 and collaborate with Data Engineers on query optimization and derived table design.
• Develop understanding of the 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 Senior Data Analyst 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.
• 15 days of PTO during the first 12 months of continuous service and 22 days in subsequent years for eligible full-time regular employees; eligible part-time employees receive prorated PTO.
• Eligibility to participate in the 401(k) Plan beginning 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