Senior BI Analyst / Power BI Lead | KD Pharma

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

• Translate business needs into BI solutions, reporting specifications, data requirements, and actionable technical deliverables.

• Design, develop, and enhance Power BI dashboards, reports, semantic models, and other analytical outputs.

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

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

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

• Identify, investigate, and resolve data-quality issues in collaboration with relevant teams.

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

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

• Present analytical findings, insights, and recommendations clearly to senior stakeholders and non-technical audiences.

• Support the continuous improvement of reporting processes, BI governance, standards, and best practices.

• Prioritise BI requirements and contribute to the management of the reporting and analytics backlog.

• Provide guidance and support to other BI or data analysts when appropriate.

• Introduce a structured change-request gate and report-certification standard across the reporting estate.

• Identify and retire redundant reports to improve the overall reporting landscape.

• Operationalise existing report subscriptions and status-rule scorecards that have been prototyped but not yet rolled out.

Requirements

• Strong professional experience in Business Intelligence, reporting, data analytics, or a closely related field.

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

• Strong SQL skills and experience working with relational datasets.

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

• Proven experience gathering requirements directly from business stakeholders and translating them into technical or reporting specifications.

• Hands-on experience developing dashboards, management reports, and analytical solutions.

• Strong analytical and problem-solving abilities, with a structured approach to investigating complex data and business challenges.

• Experience identifying, investigating, and resolving data-quality issues.

• Ability to communicate complex data, insights, and recommendations clearly to non-technical stakeholders.

• Strong stakeholder-management and collaboration skills.

• Ability to work independently, take ownership, and manage multiple priorities effectively.

• English proficiency at B2–C1 level.

• Experience leading or mentoring BI or data analysts is a plus.

• Experience working with enterprise data platforms is advantageous.

• Familiarity with the wider Microsoft data ecosystem, including Azure Data Factory and Microsoft Fabric , is a plus.

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

• Experience in pharmaceutical, manufacturing, life sciences, or another highly regulated industry is advantageous.

• Experience contributing to data-governance or reporting-governance initiatives is a plus.

Benefits

• Opportunity to play a key role in a company-wide Data Revolution initiative and help shape the future BI environment.

• Significant ownership and influence over BI standards, reporting processes, governance, and analytics best practices.

• Opportunity to work with modern Power BI , semantic modelling, SQL, and evolving enterprise data platforms.

• Exposure to an international organisation operating across multiple business functions and markets.

• Close collaboration with data engineering, application, and business teams throughout the BI delivery lifecycle.

• Opportunity to influence how business stakeholders define and use KPIs, metrics, and data-driven insights.

• Potential to guide and mentor other analysts while helping establish scalable BI practices.

• Opportunity to work in a highly regulated environment where data accuracy, consistency, and governance are critical.

• International and cross-functional exposure across areas such as Finance, Operations, Supply Chain, and Quality.

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