Analytics Engineer

• 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

Explore Business Intelligence Analyst, Data Engineer at DeepSource GmbH. Review requirements and application details.