Tandem

At Tandem, we build digital solutions and business intelligence that bridge the gap between strategy and operations. We believe data should work for everyone - from those who dive deep into databases to end user who needs clear insights to make decisions.

We are a boutique consultancy with the capabilities to handle complexity at scale. Our solutions are built around our clients and intended for use - not just technically sound, but crafted with the end-user in mind. We merge technical expertise with commercial know-how, taking the time to understand both the challenge and the people facing it.

Technology stack

Power BI is at the heart of what we do - from data modelling and DAX to compelling visualizations that drive decisions. We embrace Microsoft Fabric as the unified platform where Power BI is evolving, leveraging its integrated capabilities. Our work spans the full Microsoft BI ecosystem including SQL Server, Analysis Services, and Azure data platforms. We connect to any data source our clients need - from simple spreadsheets and SharePoint lists to complex ERP systems, CRM platforms, POS solutions, and custom APIs.

In this role, you will

As our Business Intelligence Consultant, you will drive the full project lifecycle from business scope to analysis and implementation. This is a role where you become the trusted advisor for our clients, helping them transform their business through data-driven insights and intelligent BI solutions.

• Drive customer analysis and develop business cases with clear value propositions

• Lead and participate in BI implementation projects including business sparring, project coordination, and user training

• Ensure all solutions follow best practices and deliver real business value

• Work with clients ranging from new Power BI implementations to complex data platform migrations

• Take ownership of your projects while collaborating with colleagues

• Contribute to a culture of high professional standards and knowledge sharing

• Design, test, and validate data models and dashboards to ensure quality delivery

• Bridge the gap between business needs and technical possibilities across the Microsoft data stack

What do we expect?

We need someone who combines deep BI expertise with strong business acumen. You should be comfortable adapting to different client environments while maintaining a professional and service-minded approach.

• Minimum 3 years of hands-on experience with Power BI and data visualization

• Proven track record implementing BI solutions from data modelling to dashboard delivery

• Strong SQL skills and understanding of data warehouse architectures

• Understanding of business processes and how data drives decision-making

• Experience driving projects and ensuring successful deliveries

• Excellent stakeholder management skills with ability to translate between business and technical language

• Proactive communication style with attention to detail

Bonus points

While not required, these additional skills would help you hit the ground running. We value diverse experience and perspectives that can strengthen our offerings.

• Experience with other BI tools (e.g. Tableau, Looker)

• Knowledge of advanced analytics and AI

• Microsoft certifications in data and analytics

• Experience with change management and user adoption strategies

What should you expect?

You will join a collaborative environment where no two days are the same. We work together from our Copenhagen office, where collaboration happens naturally. We understand that project work requires flexibility, and we make sure this goes both ways.

• Ownership of your own client projects or participation in larger implementations

• Path to equity participation for high performers who want to grow with us

• Direct client interaction where you become their trusted advisor

• Variety in your work from simple dashboards to enterprise-wide data platforms

• Supportive team environment with knowledge sharing

• Flexibility during busy periods matched with understanding for work-life balance

• Continuous learning as the data landscape evolves