BI Developer - Data Analytics & Business Intelligence - 20718

Veritaz AB Solna, Stockholms län, Sverige Publicerat 6 november 2026
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Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. About the service Assignment Description We are seeking an experienced BI Developer / Data Analyst to join a Data & Analytics team working on next-generation analytical solutions using modern data platforms. You will work in a cross-functional agile team, developing scalable data products and analytical services with a focus on data quality, consistent metrics, semantic modeling, and self-service analytics. What You Will Work On Develop and maintain data models using dbt and semantic models in Looker. Create analyses, KPIs, and data-driven decision-making materials. Develop dashboards and reports using Looker or similar tools. Build interactive data visualizations in web applications using JavaScript/TypeScript and modern frontend frameworks. Work closely with business stakeholders to translate requirements into analytical solutions. Ensure quality, consistency, and clarity in data definitions and metrics. Collaborate with developers, project managers, UX specialists, and analysts. What You Bring Strong SQL and DBT experience, with the ability to independently drive analytics from requirements to delivery. Experience with Looker, Tableau, or similar visualization tools. Experience in data modeling and working with large datasets. At least 5 years of relevant experience as a Data Analyst, Analytics Engineer, or similar. Proven experience translating business needs into analytical solutions. Fluent Swedish and English, both spoken and written. Meritorious Google Cloud Platform (GCP) and BigQuery. GitHub. LookML and semantic layers. AI-assisted development tools such as Copilot or Claude. Data and analytics product development. Self-service analytics and user-focused reporting. JavaScript/TypeScript and modern frontend frameworks such as Vue.js. Experience building interactive charts and data visualizations.

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