About OWOX
For 20+ years, OWOX has built data products for teams that need answers, not another dashboard. OWOX Data Marts is an open-source, zero-hallucination analytics platform: analysts define trusted logic once, and everyone, up to the CEO, gets answers they can trust in the tools they already use, including Claude and ChatGPT via OWOX MCP.
Today, 176K+ executives and data analysts across 20+ industries rely on OWOX.
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 tracking, data modeling, SQL, reporting, and complex analytical challenges.
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.
Create Measurement Plans and implement event tracking on client websites using Google Tag Manager and the dataLayer.
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 model rules: joins, identity definitions, 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:
Strong SQL skills: window functions, CTEs, complex JOINs, query optimization, working with nested and repeated fields.
Experience with Google BigQuery or a similar data warehouse (Snowflake, Redshift, ClickHouse, etc.).
Experience with Google Tag Manager: custom HTML/JS tags, dataLayer, debugging with Preview mode and browser developer tools.
Experience creating Measurement Plans and implementing them on websites.
Solid understanding of web analytics and event tracking (GA4 or similar).
Attention to detail and a systematic approach to data validation.
Ability to explain technical topics clearly to non-technical colleagues.
Experience with Looker, Power BI visualization tools.
Clear written and spoken English for direct communication with clients.
Nice-to-Have:
Experience working with the GA4 BigQuery export.
Hands-on experience using AI tools and LLMs in analytics work (e.g., ChatGPT, Claude, Gemini) for writing SQL, automating tasks, or analyzing data.
Experience with GTM and server-side GTM.
JavaScript skills sufficient to write and debug custom tags.
Understanding of privacy requirements and Consent Mode.
Consulting experience: working with clients, gathering requirements, presenting results, and giving recommendations based on data.
What We Offer
Opportunities for professional growth and continuous learning.
A competitive compensation package commensurate with experience.
A smart and friendly team where ownership and collaboration are genuinely valued.
Flexible working hours a
