Data Analyst at Elizabeth Maddeux

Job Summary

• Our client, a reputable company in the pharmaceutical industry, is seeking to hire an experienced Data Analyst with strong expertise in Power BI and advanced data analytics.
• The successful candidate will lead the organization’s Data Analytics function, providing strategic and operational insights to support business growth, regulatory compliance, and performance optimization.

Key Responsibilities
Data Strategy & Department Leadership:

• Lead and manage the Data Analytics function in alignment with business and operational objectives
• Develop and implement enterprise-wide data analytics strategies
• Establish data governance standards, reporting frameworks, and analytics best practices
• Provide mentorship and technical leadership to analytics team members and key stakeholders

Business Intelligence & Data Analytics:

• Design, develop, and maintain advanced dashboards and reports using Power BI
• Analyze large and complex datasets across sales, production, supply chain, regulatory, quality assurance, and finance functions
• Provide predictive and prescriptive analytics to support strategic business decisions
• Translate data insights into actionable business recommendations for management

Operational & Commercial Support;

• Support sales forecasting, product performance analysis, and market intelligence reporting
• Collaborate with cross-functional teams to improve operational efficiency and productivity
• Provide analytics support for cost optimization and business performance monitoring

Data Governance & Compliance:

• Ensure data accuracy, integrity, and security in line with pharmaceutical regulatory requirements
• Develop and enforce data management policies and procedures
• Support internal and external audit processes through accurate reporting

Process Automation & Continuous Improvement

• Drive automation of reporting processes and analytics workflows
• Develop advanced analytics models to improve business performance
• Improve data accessibility and reporting efficiency across departments

Key Performance Indicators (KPIs)
Reporting & Data Accuracy:

• Accuracy and reliability of dashboards and analytics reports
• Timeliness of report delivery
• Reduction in reporting errors and data inconsistencies

Business Impact:

• Contribution of analytics insights to revenue growth and operational efficiency
• Effectiveness of forecasting and performance analytics models
• Adoption rate of analytics tools across departments

Leadership & Department Development:

• Successful development and management of the Data Analytics unit
• Stakeholder satisfaction with analytics support
• Training and development outcomes for team members

Process Efficiency:

• Number of automated reporting processes implemented
• Reduction in manual reporting tasks
• Improved data accessibility and reporting turnaround time

Compliance:

• Compliance with pharmaceutical regulatory reporting requirements
• Successful audit outcomes with minimal data-related issues.

Qualifications & Experience

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline
• 3–4 years’ relevant experience in Data Analytics
• Experience within Pharmaceutical, Healthcare, FMCG, or Manufacturing industries is highly preferred
• Proven leadership experience managing analytics functions or teams.

Skills & Competencies

• Strong interpersonal and communication skills
• Advanced proficiency in Power BI including dashboard development, data modelling, DAX, and visualization design
• Strong SQL and database management skills
• Advanced Microsoft Excel and data modelling skills
• Strong statistical and predictive analytics capability
• Strong strategic thinking, problem-solving, and data-driven decision-making skills.