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Own the data pipeline that keeps Boam AI’s truth layer trusted at scale Boam AI builds managed data agents that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise with strategic partners such as Uber Eats and Toast. As a Senior Data Analyst, you will drive the architecture, improvement, and operation of the data pipeline that keeps Boam AI’s truth layer fresh, reliable, and scalable. This is not a dashboard role. You’ll lead end-to-end initiatives across ingestion, validation, transformation, and analysis, design durable quality systems, and build automation that keeps pace with fast-growing demand across verticals and geographies. You’ll partner closely with ops, engineering, and data/ML, and work directly with leadership on high-impact, ambiguous work. What You’ll Do Own the end-to-end health of core data pipelines and outputs Architect scalable ingestion, validation, and transformation workflows Build automated quality, freshness, and consistency systems that prevent regressions Define quality metrics and operating standards for the truth layer Lead root-cause investigations and drive fixes across teams Scale data delivery and outputs that power production customer workflows Raise the bar through documentation, reviews, and mentoring more junior analysts Partner with founders/ops on strategic analyses that shape product direction Use next-gen AI tools to improve speed, rigor, and reliability You Might Be a Fit If… 5+ years in data analysis, analytics engineering, or data pipeline roles Expert SQL and strong Python for analysis, automation, and processing Proven experience designing and operating high-volume, messy-data pipelines Strong instincts for data quality, monitoring, and operational excellence Comfortable leading ambiguous projects and driving cross-team execution Bias for automation, leverage, and durable systems over manual heroics Thrive without heavy process, QA buffers, or endless safeguards Motivated by real customer impact, not perfect dashboards Excited to work where AI/data is the product, not a side project Why Boam AI Join a no-politics, high-trust, low-ego, high-talent team Own mission-critical data systems powering top-tier enterprise partners Work directly with leadership on high-impact problems that matter High autonomy, real impact, and clear ownership from day one Operate at the intersection of AI, data infrastructure, and enterprise workflows Top-tier compensation with meaningful equity upside Help build the data systems and standards we’ll scale to 100x Our Hiring Process Intro Call: Quick conversation to align on role, motivation, and expectations Deep Dive: Walk through past work (pipelines, investigations, systems) and how you think Work Sample: A practical Boam-style data challenge (SQL/Python + reasoning + clear write-up) Founder Conversation: Values, ownership, pace, and how you’d grow with us as we scale #J-18808-Ljbffr
