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 Data Analyst, you will help build, improve, and operate the data pipeline that keeps Boam’s truth layer fresh at scale. This is not a dashboard role. You’ll tackle messy inputs across verticals and geographies, automate quality and throughput, and keep pace with fast-growing customer demand. You’ll work across ingestion, validation, transformation, and analysis, partnering closely with ops, engineering, and data/ML. This is a role for someone who wants real ownership early, loves precision, and learns fast in an environment with minimal safety nets.
What You’ll DoOwn pipeline quality and freshness across core datasets
Scale ingestion and validation across new geos and verticals
Build automation that replaces manual checks and rework
Monitor pipeline health and drive fast root-cause fixes
Build SQL outputs that power production customer workflows
Produce clear analysis that drives product and customer decisions
Support ingestion and transforms with pragmatic Python tooling
Turn investigations into shipped improvements customers feel
Use next-gen AI tools to improve speed, rigor, and reliability
1–3+ years in data analysis, analytics engineering, or similar roles
Strong SQL and comfort working with messy, real-world datasets
Working knowledge of Python for analysis and automation
Own problems end-to-end and close loops without hand-holding
Debug systematically and write crisp, structured investigations
Prefer automation over manual work and scale what you build
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
Work on a differentiated data moat powering top-tier enterprise partners
High ownership, direct feedback, and steep learning curve from day one
Real impact: your work shows up in customer workflows quickly
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 (projects, analyses, datasets) and how you think
3. Work Sample
A practical Boam-style data task (SQL/Python + reasoning + clear write-up)
4. Founder Conversation
Values, ownership, pace, and how you’d grow with us as we scale
