GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of KD Pharma, GT is looking for a Senior Business Intelligence Analyst to help shape the company’s next-generation BI environment and turn data into better business decisions.

About KD Pharma

KD Pharma is a global, technology-driven pharmaceutical and nutraceutical CDMO, founded in 1988. The company specialises in ultra-pure Omega-3 concentrates and delivers end-to-end solutions from custom synthesis to finished dosage forms.

With operations across Germany, Norway, the UK, the USA, Canada and Peru, KD Pharma works in a highly regulated environment and serves customers globally.

About the Project & Role

KD Pharma is launching a company-wide Data Revolution initiative to modernise its data platform and reporting landscape. Power BI is at the heart of the current BI environment, and the company is now moving towards a more scalable, consistent and well-governed approach to analytics and reporting.

As a Senior BI Analyst, you will play a key role in shaping how KD Pharma uses data across the business.

You’ll combine hands-on Power BI development, data analysis, stakeholder management and BI governance to:

• Turn complex business needs into clear BI solutions

• Build and improve Power BI reports, dashboards and semantic models

• Work with business stakeholders to define meaningful KPIs and metrics

• Improve data quality, consistency and reporting standards

• Partner with the Data/BI engineering team as the new data platform evolves

• Help establish scalable BI processes and best practices

This is a great opportunity for someone who wants to go beyond simply building reports and have a real impact on how BI is built and used across an international organisation.

Responsibilities

• Work with business stakeholders to understand reporting, analytics and information requirements.

• Translate business requirements into BI solutions, reporting specifications and data requirements.

• Design and develop dashboards, reports and analytical outputs.

• Analyse and interpret complex datasets to support business decision-making.

• Define and maintain reporting metrics, KPIs and business definitions.

• Support data transformation and data-model design for reporting and analytics.

• Investigate data-quality issues and work with relevant teams to resolve them.

• Ensure reports and analytical outputs are accurate, consistent and fit for purpose.

• Collaborate with data engineers, application teams and business users across the full delivery lifecycle.

• Present analytical findings and recommendations to senior stakeholders.

• Support improvements to reporting processes, governance and BI standards.

• Prioritise BI requirements and help manage the reporting/analytics backlog.

• Provide guidance and support to other analysts where appropriate.

• Introduce a change-request gate and a report-certification standard for the estate, and retire redundant reports.

• Operationalise the report subscriptions and status-rule scorecards already prototyped but never rolled out.

Essential Knowledge & Skills

• Strong experience in Business Intelligence, reporting or data analytics.

• Advanced hands-on Power BI skills, including DAX, Power Query, workspace/app administration and semantic modelling.

• Strong SQL skills and experience working with relational datasets.

• Solid understanding of data modelling, transformations and BI architecture.

• Experience gathering requirements directly from business stakeholders.

• Experience translating business requirements into technical or reporting specifications.

• Hands-on experience building dashboards and management reporting.

• Strong analytical and problem-solving skills.

• Experience identifying and resolving data-quality issues.

• Ability to communicate complex data clearly to non-technical audiences.

• Strong stakeholder-management skills.

• Ability to work independently and manage multiple priorities.

• English level: B2–C1.

Nice to Have

• Experience leading or mentoring BI/data analysts.

• Experience working with enterprise data platforms.

• Awareness of the wider Microsoft data platform (Azure Data Factory, Microsoft Fabric).

• Experience working with Finance, Operations, Supply Chain or Quality data.

• Experience working in pharmaceutical, manufacturing, life sciences or another regulated industry.

• Experience supporting data-governance or reporting-governance initiatives.

Interview Steps

1. GT Interview with Recruiter

2. Technical Interview

3. Interview with the Client

4. Final Interview

5. Reference Check

6. Offer