Arbetsbeskrivning

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.