Senior BI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior BI Engineer based in Switzerland.

This is an opportunity to play a key role in shaping how an organisation turns data into trusted, actionable business <insights.You> will design and evolve business intelligence solutions that make complex information accessible to stakeholders across the organisation.The role combines hands-on technical work with close collaboration across business and data <teams.You> will build semantic models, define meaningful KPIs, and create intuitive dashboards that support better <decision-making.You> will also help establish consistent reporting standards and promote self-service analytics across the business.Working in a remote-first environment, you will have significant ownership over the evolution of the BI and analytics landscape.Your work will directly contribute to a stronger data culture, improved visibility, and more informed business performance.

Accountabilities

• Partner with business stakeholders to understand reporting needs and translate them into scalable analytical solutions.
• Design, build, and maintain dashboards and reports using Metabase or comparable BI platforms.
• Define, document, and maintain business metrics, KPIs, reporting standards, and shared business definitions.
• Develop and optimise advanced SQL queries for reporting and analytical use cases.
• Design semantic data models and reporting datasets that enable reliable self-service analytics.
• Validate data accuracy and consistency across dashboards, reports, and analytical datasets.
• Investigate data discrepancies and collaborate with Data Engineers to identify root causes and drive issues through resolution.
• Analyse business performance, identify trends, and provide actionable insights and recommendations.
• Establish and promote best practices in business intelligence, reporting, and data visualisation.
• Maintain clear documentation covering dashboards, metrics, business definitions, and reporting processes.
• Support stakeholder adoption of BI solutions and encourage data-driven decision-making across the organisation.
• Identify opportunities to improve reporting capabilities, data accessibility, and the overall analytics platform.

Requirements

• 5+ years of professional experience in Business Intelligence, Analytics Engineering, Data Analytics, or a closely related field.
• Advanced SQL skills and proven experience working with large analytical datasets.
• Strong hands-on experience building dashboards and reports with Metabase or a similar business intelligence platform.
• Experience working with Amazon Redshift and relational database environments.
• Solid understanding of dimensional data modelling and semantic layer design.
• Experience defining business metrics, KPIs, reporting frameworks, and organisation-wide data standards.
• Ability to independently investigate complex business and data issues and take them through to resolution.
• Strong analytical and problem-solving abilities, with the capacity to translate data into meaningful business recommendations.
• Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences.
• A proactive, ownership-driven mindset and a strong sense of accountability.
• Ability to work effectively in a remote-first and collaborative environment.

Benefits

• Fully remote, remote-first working environment.
• Competitive salary with individual performance-based bonuses paid quarterly.
• 28 days of paid annual leave.
• Core working hours from 10:00 AM to 3:00 PM in your local time zone, with flexibility outside those hours.
• Referral bonuses and additional flash bonuses.
• High-quality equipment to support effective remote work.
• Annual company retreats offering opportunities for networking, collaboration, and team building.
• Opportunity to work on impactful BI and analytics initiatives with significant ownership.
• A role focused on improving data accessibility and strengthening data-driven decision-making across the organisation.