Trusted, proven, recognized

The analytics system 170,000 spreadsheet users already trust

170K+
Users trust OWOX[1]
Analysts, marketers, and data teams across 20+ industries
4.9★
Rating on G2[2]
“A trusted data analytics partner” — verified review
365K+
Data marts delivered
Created and served by OWOX to business users
92K+
npm installs[3]
Self-hosted OWOX Community Edition on GitHub
The hiring trap

You’re about to make the most expensive mistake in analytics

Demand for data keeps growing. Your team can’t keep up. The instinct is to hire — another analyst, another tool, another dashboard layer. But headcount doesn’t scale analytics. A system does.

What you’re doing now

Throwing headcount at a systems problem

Every new team, client, or initiative means another analyst request — or a six-month wait
Business users build their own reports in ChatGPT, Claude, or ad-hoc exports — your numbers diverge
Your best analysts spend their days running the queue, not building the system
AI tools promise answers but hallucinate numbers — and nobody catches it until a board meeting
You can’t prove ROI on analytics because the team is buried in tickets, not delivering insights
With OWOX

Every team member gets a Reporting Analyst.

A joinable Data Mart library in Google Sheets — every stakeholder picks columns and builds reports without SQL
AI Insights delivered on schedule to Slack, Teams, or email — deterministic, not hallucinated
One analyst’s work serves the whole company — the CEO, marketing, sales, ops, all from the same library
Your data team builds the system once — it scales without hiring
Every number has an owner, every cell traces to SQL — governance is built in, not bolted on

You don't need more analysts. You need one Reporting Data Analyst that serves every team — and scales without hiring more.

Get started free →
WHICH ANALYST YOU'RE HIRING

Start free. Scale the hire when you're ready.

Each “hire” is a set of skills a data analyst does by hand today — automated, governed by your team, and ready from day one.

DATA INTERN

The on-ramp. Pulls and blends your data; every number traces to SQL.

REPORTING ANALYST

Builds the governed Data Mart library. Every team self-serves in Sheets. Kills the reporting queue. You’re here.

SENIOR ANALYST

When teams need to ask “why” in plain language — @owox answers in Slack, Claude, or ChatGPT. Never hallucinates.

The system

One analyst’s library serves the entire company

Your data team picks tables from the warehouse and one-click populates a governed Data Mart library — descriptions, aliases, join keys, and ownership auto-generated. Every team in the company self-serves from the same source of truth.

Auto-generated governance — aliases, descriptions, join keys, owners on every Data Mart
One library serves marketing, sales, finance, ops, and leadership — no duplicated logic
New team needs data? They browse the library — no analyst ticket required
One analyst’s library serves the entire company
One analyst’s library serves the entire company
A Reporting Analyst for every team member
THE HIRE

A Reporting Analyst for every team member

The OWOX extension sidebar puts the Data Mart library inside Google Sheets. Every stakeholder browses, joins Data Marts by analyst-defined keys, picks columns, and refreshes — 24/7. The Reporting Analyst who built the library serves every user, simultaneously.

Business users join Data Marts by pre-approved keys — no AI-generated queries that drift between runs
Column picker shows only what the data team published — no raw tables, no accidental exposure
Every cell is deterministic, traceable, verifiable — patented technology, zero hallucinations
A Reporting Analyst for every team member
The insights

Briefings on a schedule. Deterministic. Zero hallucinations.

Insights turn Data Mart output into recurring executive narratives — delivered to Slack, Teams, or email on schedule. AI writes the prose. Your analyst approves the SQL. Every number is the result of a deterministic query, not an LLM guess.

Markdown templates with data placeholders filled by analyst-approved SQL
Delivered on schedule — Monday morning leadership brief, Friday ops recap, daily marketing pulse
Patented technology — AI narrates, never invents the numbers
Build a gold layer you actually trust
Build a gold layer you actually trust

Give every team a Reporting Analyst. Without a new hire.

Connect your warehouse, build the Data Mart library, and hand it off in Google Sheets. Your CEO gets a Monday morning brief. Your marketing lead picks columns on the fly. Your ops team refreshes daily — all from the same governed source.

How it works

From analyst bottleneck to company-wide self-service — in three steps

Your data team builds the library. Every team member in the company self-serves from it. AI delivers insights on schedule. The hiring gap closes without a single new hire.

Build the library once

Your data team picks tables or pastes SQL. OWOX auto-generates governance — aliases, join keys, descriptions, ownership. A governed library in one click.

Your data team picks tables or pastes SQL. OWOX auto-generates governance — aliases, join keys, descriptions, ownership. A governed library in one click.

Every team member self-serves

The Sheets Extension puts the library inside Google Sheets. Marketing, sales, finance, leadership — everyone browses, joins, picks columns, and refreshes. No tickets.

The Sheets Extension puts the library inside Google Sheets. Marketing, sales, finance, leadership — everyone browses, joins, picks columns, and refreshes. No tickets.

AI delivers insights on schedule

Insights turn Data Mart output into executive narratives delivered to Slack, Teams, or email. The CEO gets a Monday brief. Ops gets a daily recap. All deterministic.

Insights turn Data Mart output into executive narratives delivered to Slack, Teams, or email. The CEO gets a Monday brief. Ops gets a daily recap. All deterministic.
Your data team picks tables or pastes SQL. OWOX auto-generates governance — aliases, join keys, descriptions, ownership. A governed library in one click.
The Sheets Extension puts the library inside Google Sheets. Marketing, sales, finance, leadership — everyone browses, joins, picks columns, and refreshes. No tickets.
Insights turn Data Mart output into executive narratives delivered to Slack, Teams, or email. The CEO gets a Monday brief. Ops gets a daily recap. All deterministic.
THE COST OF THE HIRE YOU'RE NOT MAKING

A reporting analyst costs $70–120k a year. Most of the role is automatable.

We analyzed 1,438 job postings for reporting data analysts. Here’s what companies pay six figures for — and what a Reporting Analyst handles out of the box.

The skill on the job posting ~% of listings OWOX handles it
Writing & maintaining SQL ~95% Reusable, version-controlled Data Marts
Integrating data from sources ~85% Open-source connectors, zero data eng
Building & maintaining reports ~80% One Mart → Sheets, Looker, Slack, email
Scheduling & timely delivery ~70% Built-in scheduler — set once, runs forever
Enabling stakeholder self-service ~65% Mart library in Sheets — no tickets
Managing access & permissions ~40% Owners + context-based access per Mart

What stays with your team — and gets more valuable: data integrity, business logic, metric definitions, and stakeholder translation. You’re not replacing analysts. You’re freeing the one you have.

Get started free →
What changes for your organization

Scale analytics without scaling headcount

When every team member has a Reporting Analyst, your analytics function transforms.

10× the analyst coverage

One analyst’s library serves the whole company. Every stakeholder self-serves 24/7 in Sheets — the queue disappears.

Numbers you can defend in a board meeting

Every cell traces back to analyst-approved SQL. Deterministic. Verifiable. No AI hallucinations — patented technology.

Data team works on strategy, not tickets

When the reporting backlog drops to zero, your analysts finally work on the problems you hired them to solve.

What data leaders say

Customer stories

Teams that deployed self-service analytics

Organizations that scaled analytics without scaling headcount

All case studies →
FAQ

Questions data leaders ask

How does this actually replace hiring another analyst?
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How can I trust the numbers if AI is involved?
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We have 6 teams that all define “revenue” differently. How does OWOX fix that?
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How long until my teams are actually using this?
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What does this cost compared to hiring another analyst?
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Can I self-host for data residency or compliance?
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What's the difference between the Reporting Analyst and the Senior Analyst?
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RECOMMENDED

Give every team a Reporting Analyst

Connect your warehouse, build the Data Mart library, and hand it off in Sheets. Every stakeholder self-serves. Your data team works on strategy.

Free to start · Reporting Analyst from $65/mo
Joinable Data Marts + column picker in Sheets + AI Insights
Built-in scheduling, monitoring, and governed delivery
OPEN SOURCE

Self-host on your infra

Full OWOX platform on your infrastructure. ELv2 + MIT licensed. Free for internal use and client work — forever.

Deploy to GCP, AWS, Azure, or run locally
Fork, customize, contribute back on GitHub
220+ GitHub stars and growing