• Modernize data extraction, automation, and presentation. • Lead meetings to align data across business dependencies. • Connect cloud data platforms with advanced language models using APIs. • Develop Looker Explores and dashboards using LookML. • Build actionable reports for Editorial, Sales, and Finance. • Implement validation and monitoring frameworks for data accuracy. • Collaborate with Editorial and SEO teams to enhance content monetization. • Train the analytics team on generative AI tools and database connectors.

Role Description Currently we are looking for a Business Intelligence Expert. - Engagement: part-time - Salary range: from 40 EUR/h - Working Hours: CET - Start date: August 2026 - Project duration: 3-6 months Proven expertise in: - QlikView (maintenance, development, and data analysis) - Ability to provide both ad hoc support and ongoing retainer-based support - Experience in BI solution migrations and consulting on BI platform selection - Currently located in the European Union - Good command of written and spoken English Qualifications - Proven expertise in QlikView - Ability to provide ad hoc and ongoing support - Experience in BI solution migrations - Good command of English Requirements - Currently located in the European Union Benefits - 100% remote, flexible work - Work with an experienced team of developers - Continuous development of hard and soft skills - Dev-friendly processes such as Continuous Integration, Continuous Delivery, Code Review, and bug bashes - Long-term collaboration on challenging products (FinTech, B2B software, E-commerce, and more) Company Description Netguru is a trusted partner in digital commerce. The company helps leading brands modernize B2B solutions, marketplaces, and retail ecosystems. Since 2008, it has empowered businesses with cutting-edge technology, AI-powered personalization, and world-class engineering and design teams. A certified B Corporation®, Netguru is trusted by major brands including IKEA, VW, OLX, Delivery Hero, Żabka, Wolt, Careem, and Vinted. As a Netguru freelancer, you can choose what works well for you. You decide when, where, and how you work on projects and tasks. We match you with work that fits your skills, providing access to various opportunities across different industries and companies. Netguru freelancers can benefit from full-time collaboration and really be a part of the team. At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related adaptations during the recruitment process, please let us know. We're here to help!

• Design and build executive dashboards covering key business, operational, and performance metrics. • Develop longitudinal cohort analysis and self-service analytics capabilities for business stakeholders. • Build and optimize Amazon QuickSight semantic datasets, including SPICE capacity, refresh, and performance tuning. • Migrate prioritized Power BI dashboards and reports to Amazon QuickSight. • Partner with data engineering to define semantic layers, canonical data models, and standardized enterprise KPI definitions across multiple business units. • Contribute to the enterprise business glossary, data dictionary, and KPI catalog, ensuring consistent business definitions across all reporting. • Support natural language and conversational analytics experiences, enabling business users to query metrics in plain language. • Configure knowledge repositories that leverage the business glossary, KPI catalog, and semantic definitions for AI-assisted data exploration. • Conduct dashboard validation, user feedback sessions, and iterative refinement with business stakeholders. • Establish reporting standards, row-level security, and governance for dashboards and datasets. • Participate in UAT, production deployments, knowledge transfer, and post-production support.

• Capacity Monitoring: Monitor Fabric Capacity Metrics / FUAM daily to prevent and mitigate throttling and performance degradation in the environment. • Performance Tuning: Investigate slow or heavy reports and semantic models, performing reverse engineering to optimize DAX and data structures. • Governance and Administration: Manage the data lifecycle (DevOps/Git/Deployment Pipelines), audit access and security (RLS/OLS), and organize workspace topology. • Consultative Role (Evangelization): Engage with report developers from other departments (Shadow IT) to diagnose root causes of slowness, advise on best practices, and negotiate refresh windows. • Architecture Evolution: Support architectural decisions on when to use Lakehouse, Warehouse, or semantic models in Direct Lake, integrating with the existing data ecosystem.