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 DoOwn 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
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
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 process is fast, structured, and transparent — built to respect your time and surface real mutual fit
1. Intro Call
Quick conversation to align on role, motivation, and expectations
2. Deep Dive
Walk through past work (pipelines, investigations, systems) and how you think
3. Work Sample
A practical Boam-style data challenge (SQL/Python + reasoning + clear write-up)
4. Founder Conversation
Values, ownership, pace, and how you’d grow with us as we scale
