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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.
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.
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.
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.
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.
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.
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