
Senior Analytics Engineer, AI – DX Analytics
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in California.
• Instrument and enhance raw telemetry concerning AI utilization, code modifications, CI/CD activities, and expenditures.
• Collaborate with data engineers on production ETL pipelines, monitoring freshness, executing backfills, and setting up alerts.
• Define and validate metrics derived from ambiguous or evolving signals.
• Create and deliver executive-facing dashboards and visualizations.
• Analyze metrics, anticipate inquiries from executives, and offer recommendations.
• Translate complex technical insights into clear narratives for executives.
• Utilize AI coding agents to develop, test, and maintain pipelines, dashboards, and analyses.
• Collaborate with data engineering, applied AI, and data science teams.
• Identify instances where AI expenditures are not yielding returns or where developer friction incurs high costs, and initiate improvements.
• Measure the impact of AI and agent productivity and assist in establishing industry benchmarks.
• Over 8 years of experience in analytics engineering, data engineering, or business intelligence, managing production data pipelines and insights from start to finish.
• Proficient in SQL and Python.
• Practical experience in constructing and managing data pipelines for a cloud data warehouse like Snowflake.
• Proven experience collaborating with engineering teams to instrument new event or telemetry data.
• Experience in developing dashboards or internal tools that non-technical stakeholders depend on for decision-making.
• Familiarity with Git, CI/CD systems, and troubleshooting production pipeline failures, including retries and backfills.
• Experience with metrics-governance or semantic-layer systems, such as a metrics store, dbt semantic layer, or LookML, is a plus.
• Proficiency in AI-first workflows and the strategic use of AI coding agents.
• Technologies include SQL (Snowflake), Python, TypeScript, React, Git, CI/CD pipelines, a governed metrics store, AI coding agents, and LLM-based classification tools.
• Remote work.
• Medical insurance.
• Flexible time off.
• Retirement savings plans.
• Modern family planning.
• Reasonable accommodations throughout the recruitment process.
LifeStance Health
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HarmonyCares
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