About OWOX
For 20+ years we’ve built data products for people who need an answer, not another dashboard. OWOX Data Marts is the only zero-hallucination analytics platform — your team defines what’s trustworthy, and everyone else, up to the CEO, just asks their business a question and trusts the answer.
Our mission is simple: make every number in the company trustworthy — and one question away. We help teams make better decisions with data they can trust — not data they have to reconcile, re-export, or ask someone else to pull.
✓ Control for the data team — analysts define trusted logic once (metrics, joins, governance) and publish it as a reusable Data Mart library.
✓ Freedom for everyone else, up to the CEO — self-serve in the tools you already use: Google Sheets, Looker Studio, and now your own AI chat via MCP.
✓ Trust in every number — the same analyst-approved logic across every report, dashboard, and AI answer. AI narrates; governed SQL computes. Zero hallucinations.
We’re open-source, analyst-controlled, and already trusted by 170K+ users across 370K+ Data Marts delivered.
About the Role
At OWOX, we help companies turn fragmented business data into trusted models they can use for reporting, decision-making, and AI-powered analysis.
We’re looking for a Data Analyst to work on client projects across e-commerce, finance, SaaS, and other businesses that generate revenue online. You’ll learn how each business works, translate its questions into data logic, and build models that produce reliable answers.
Your focus will be data modeling, SQL, reporting, and complex analytical challenges. Projects may include marketing attribution, funnel and cohort analysis, customer and product analytics, revenue, profitability, and unit economics.
This is a client-facing role for someone who is curious, precise, and comfortable taking ownership. You should be able to ask the right questions, challenge unclear requirements, and explain technical decisions in business language.
What You’ll Do
Work with clients to translate business goals and questions into clear analytical requirements.
Design and maintain scalable data models for marketing, sales, product, finance, and customer analytics.
Write, review, and optimize complex SQL transformations in cloud data warehouses.
Combine data from multiple business systems and define reliable rules for grain, joins, identity resolution, deduplication, and metric calculation.
Build reusable datasets and data marts for dashboards, spreadsheets, recurring reports, and AI assistants.
Create and maintain reporting in Looker Studio, Power BI, Tableau, or similar BI tools.
Solve complex analytical problems, including multi-touch marketing attribution, funnel analysis, cohorts, LTV, unit economics, and profitability.
Validate data quality, investigate discrepancies, and make sure metrics remain consistent across reporting layers.
Document business logic, assumptions, data definitions, and model structure.
Present findings and recommendations clearly to client stakeholders and collaborate with project managers, engineers, and other analysts.
What You’ll Bring
Must-Have Skills
Strong SQL skills and hands-on experience building analytical data models.
Experience with a cloud data warehouse, like BigQuery.
Hands-on experience with dbt, Dataform, or a similar data transformation framework.
Solid understanding of dimensional modeling, fact and dimension tables, data grain, joins, and aggregations.
Experience preparing data for BI and reporting tools such as Looker Studio, Power BI, Tableau, or similar platforms.
Ability to turn ambiguous business questions into robust data logic and clear deliverables.
Experience working with marketing, commercial, product, or financial data.
Strong analytical thinking and attention to data quality.
Clear written and spoken English for direct communication with clients.
Proactive ownership — you don’t just execute tasks; you think through t
