Team Leader - Power BI

About the Role

As Team Leader - Power BI you will lead a small, high-performing analytics team responsible for designing, developing and delivering business intelligence solutions across the organisation. The role combines hands-on Power BI development with people leadership, stakeholder management and continuous improvement to ensure timely, accurate and impactful reporting that drives informed decision‑making.

Key Responsibilities

• Team Leadership & Delivery

  • Lead, coach and develop a team of Power BI developers and analysts, setting clear objectives and supporting professional growth.

  • Plan and prioritise team workload to meet delivery milestones and business needs.

  • Ensure high quality, maintainable and well-documented Power BI reports and data models.

• Power BI Development & Architecture

  • Design and implement scalable Power BI solutions including data modelling, DAX calculations, report visualisation and performance optimisation.

  • Define and maintain standards, templates and reusable components for report development and data modelling.

  • Work with data engineering to define data requirements, ETL strategy and data quality checks to support BI solutions.

• Stakeholder Engagement

  • Collaborate with business stakeholders to understand requirements, translate them into technical designs and ensure delivered solutions meet user needs.

  • Present insights and visualisations to non-technical audiences; advise on best practice for self-service analytics and adoption.

• Governance, Security & CI/CD

  • Implement and enforce BI governance practices including workspace organisation, version control, access management and data security.

  • Support automation of deployment pipelines and testing to enable repeatable, low-risk releases to production.

• Performance Monitoring & Continuous Improvement

  • Monitor report performance and usage metrics; drive optimisation and rationalisation where appropriate.

  • Champion a culture of continuous improvement by identifying opportunities to enhance reporting, reduce manual effort and increase business value.

Performance Deliverables

• Timely delivery of reliable Power BI reports and dashboards that meet stakeholder requirements.

• High team engagement and demonstrable development of team members' skills.

• Adherence to BI governance, security and deployment standards across all solutions.

• Measurable improvements in report performance, data quality and user adoption.

Requirements

Education

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business or a related discipline, or equivalent practical experience.

Experience

• Typically 7+ years’ experience building Power BI solutions and 1–2 years in a leading role or with responsibility for mentoring colleagues.

• Proven experience working with SQL and data modelling in a production environment.

Functional Skills

• Strong proficiency with Power BI Desktop, Power BI Service, DAX and Power Query (M).

• Experience with data warehouses, star schema design and ETL processes.

• Familiarity with Azure data services (ADF, Synapse) or other cloud data platforms is desirable.

• Knowledge of report performance tuning, incremental refresh and security roles.

Behavioural Skills

• Demonstrable leadership and coaching skills with a collaborative approach.

• Strong communication and stakeholder management skills; able to translate technical detail for business audiences.

• Problem-solving mindset with attention to detail and a focus on delivering value.

Languages

• English (required).

Additional Information

• Hybrid working arrangements may be available depending on business needs.

• Occasional travel to other sites or meetings may be required.

• Commitment to inclusive and collaborative working practices; applications are welcome from all suitably qualified candidates.

Why Join Us

• Opportunity to lead and shape analytics capability within a supportive, growth-oriented organisation.

• Exposure to diverse business challenges and meaningful impact on decision-making across the company.

• Access to training, development and career progression in data and analytics.