Data Analyst, SQL, dbt

Job not on LinkedIn

🔥 0 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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saas.group

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

saas. group is a company that acquires SaaS companies with a focus on bootstrapped businesses. They utilize a founder-friendly approach to enhance products and scale teams, ensuring that the company's original identity is preserved. saas. group offers a supportive exit strategy for founders, prioritizing the legacy and growth of the companies they acquire. They are committed to a streamlined acquisition process with minimal legal back and forth, focusing on product-led growth, community support, and empowering founders with financial freedom. The company specializes in small to mid-sized SaaS companies with recurring revenue models, aiming to elevate these businesses to become market leaders.

📋 Description

• Join saas.group’s Central Data & BI Team • Learn the data platform end to end, from extract-and-load ingestion tools through dbt transformations and SaaS metrics • Handle incoming data requests independently • Own production data issues and distinguish business changes from source, ingestion, or modeling problems • Deliver model changes and analyses from initial question through validated result • Collaborate with portfolio companies, Finance, and saas.group leadership • Support acquisition due diligence by converting unfamiliar billing and customer data into reliable revenue and customer figures • Clarify questions, assess source data, investigate logic, build or modify models, validate results, and explain implications and limitations • Build and maintain production dbt models for billing, subscriptions, customers, recurring revenue, retention, and SaaS metrics • Build and maintain Metabase dashboards, reusable questions, recurring reports, and ad hoc analyses • Monitor data quality and freshness, reconcile figures, and trace discrepancies to source systems • Maintain Airbyte source integrations, including custom connectors, and onboard newly acquired-company data • Use AI tools for development, investigation, and documentation while protecting sensitive data • Challenge assumptions and contribute independent judgment on models, metrics, and priorities • Document definitions, source behavior, limitations, and repeatable workflows • Individual-contributor role without people management

🎯 Requirements

• 3+ years in hands-on data roles where SQL was the main tool • Production experience building and maintaining data models with dbt or a similar code-based workflow, including version control and review • Ability to review code, including Python, and assess correctness and simplicity • Experience tracing data from source systems through ingestion and transformation into business answers • Sound analytical judgment and validation of results • Clear, direct communication with technical and non-technical stakeholders • Ability to prioritize independently, remain calm during production issues, and follow through • Hands-on daily use of AI tools such as Claude Code, Codex, Cursor, or similar in real data work • Curiosity about unfamiliar systems and ability to learn quickly • Fluent written and spoken English • Ability to work Central European hours • Nice to have: SaaS subscription metrics knowledge, billing systems experience, PostgreSQL, Airbyte, APIs and data connectors, multi-product or multi-business-unit experience, and acquisition due diligence experience

🏖️ Benefits

• 100% remote work; work from wherever you like, whenever you like • Flexible, autonomous work environment • Minimal bureaucracy and efficient workflows • Small, friendly team environment • Internal network for exchanging ideas, knowledge, learning, and expertise • Flexible time off • Equal Opportunity Employer and inclusive workplace • Location-adjusted salary ranges targeting local market medians; salary range shared in writing before the first interview