Elizabeth Maddeux Limited was established to address the human resource challenges faced by small and medium-scale enterprises. Our goal is to facilitate organizational growth by providing comprehensive human resource services. We specialize in industries such as banking and non-banking financial institutions, pharmaceuticals, fast-moving consumer goods, manufacturing, fintechs, telecommunications, and retail.
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.
Method of Application
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