Data Analyst

Turn chaos into trusted data at high volume and high speed

BoamAI 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.

Own 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

Quick conversation to align on role, motivation, and expectations

2

Walk through past work (projects, analyses, datasets) and how you think

3

A practical Boam-style data task (SQL/Python + reasoning + clear write-up)

Values, ownership, pace, and how you'd grow with us as we scale