Analytics Engineer, Safety Systems

Role Overview

• Design and maintain canonical datasets that serve as sources of truth for safety metrics.
• Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently.
• Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making needs and design intuitive ways to consume complex safety metrics, including dashboards, reports, agentic workflows and other data products.
• Ensure that analytics and visualizations are both accurate and user-friendly, incorporating user experience principles.
• Advocate for data quality, consistency, and reliability across analytics products.

Requirements

• 5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.
• Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.
• Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.
• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
• Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.
• Excellent communication skills, with demonstrated ability to collaborate with researchers, engineers, data scientists, and executives alike.
• Best-in-class attention to detail and unwavering commitment to accuracy.
• Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.
• Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.
• Experience in trust and safety, integrity, anti-abuse, or related fields
• could be an especially great fit.
• Familiarity with advanced custom visualizations, such as Streamlit and Plotly Dash
• could be an especially great fit.
• Demonstrated prior experience in NLP, large language models, or generative AI
• could be an especially great fit.
• Experience building data products used by a broad range of stakeholders, from technical practitioners to company leadership
• could be an especially great fit.

Tech Stack

• ETL
• SQL
• Tableau

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.