Business Intelligence Analyst, Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 Ireland, Czechia, +4 more countries – Remote

🇮🇪 Ireland – Remote 🇨🇿 Czechia – Remote 🇸🇮 Slovenia – Remote 🇸🇰 Slovakia – Remote 🇭🇷 Croatia – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

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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DeepSource GmbH

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Consulting

DeepSource GmbH is a trusted partner for businesses seeking cutting-edge AI services, specializing in computer vision, natural language processing, and predictive analytics. The company focuses on Arabic NLP and ChatGPT bot development, empowering organizations with innovative solutions to streamline operations and enhance user experiences. DeepSource is dedicated to addressing diverse AI needs by hiring top talent, managing AI projects, and providing tailored consulting and training programs. Their expert team leverages extensive knowledge in AI technologies to create and deploy advanced solutions across multiple sectors, ensuring businesses remain competitive in the digital landscape.

📋 Description

• Design, build, and maintain ETL/ELT pipelines integrating CRM, ERP, project management tools, spreadsheets, and APIs into centralized data warehouses or data marts • Ensure data quality, consistency, and integrity through validation, testing, and monitoring • Optimize star/snowflake data models for reporting performance • Automate manual data processes and reduce reliance on ad hoc spreadsheets • Manage data source connections, credentials, and refresh schedules • Troubleshoot data pipeline failures, latency issues, and discrepancies • Build and maintain Tableau, Power BI, or similar dashboards and reports • Gather reporting requirements from stakeholders and translate them into technical specifications • Define and maintain a single source of truth for key business metrics • Conduct ad hoc analysis supporting business questions and strategic decisions • Monitor dashboard usage and improve reports based on stakeholder feedback • Document data lineage, business logic, and calculation methodology • Design data structures suitable for AI agents and natural-language query tools • Build or support AI-powered reporting assistants and chatbots • Evaluate and integrate LLM-based analytics tools • Establish guardrails for AI-generated analysis and validate trustworthy outputs • Stay current on AI/BI tooling and recommend automation opportunities • Collaborate with Sales, Finance, Operations, Professional Services, IT, and engineering stakeholders • Support rollout of new tools, data sources, and automation initiatives

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field (or equivalent practical experience) • 3+ years of experience in a data engineering, BI analyst, or analytics engineering role • Strong SQL skills, including experience writing complex queries, optimizing performance, and working with large datasets • Experience building and maintaining ETL/ELT pipelines (custom scripts, or tools like Fivetran, dbt, Airflow, Workato, or similar) • Hands-on experience with a BI/visualization tool (Tableau, Power BI, Looker, or similar) • Solid understanding of data modeling concepts (dimensional modeling, normalization, star schemas) • Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) • Strong analytical mindset with the ability to translate ambiguous business questions into structured data analysis • Excellent communication skills — able to explain technical concepts to non-technical stakeholders • Preferred: Experience with Python or another scripting language for data manipulation and automation • Preferred: Familiarity with CRM/ERP systems (Salesforce, NetSuite) and operational data flows • Preferred: Experience with API integrations and workflow automation platforms (Workato, Zapier, or similar) • Preferred: Hands-on experience building or integrating AI/LLM-powered tools (Claude, ChatGPT, Copilot) into data workflows • Preferred: Familiarity with prompt engineering, retrieval-augmented generation (RAG), or agent-based architectures for analytics • Preferred: Experience establishing data governance practices suitable for human and AI consumers • Preferred: Prior experience in Professional Services, Finance, or Operations analytics