Elizabeth Maddeux provides a range of human resources solutions designed to empower your workforce, enhance technical proficiency, refine soft skills, and accelerateorganizational growth for better impacts by enhancing organizational dynamics through a well-rounded and robust human resource intervention.
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.
Salary
N150,000 - N200,000 per month.
What We Offer:
Opportunity to work in a structured pharmaceutical organization
Professional growth and learning opportunities
Supportive and collaborative work environment
Application Closing Date
20th February, 2026.
How to Apply
Interested and qualified candidates should send their Resume and Cover Letter to: recruit@elizabethmaddeux.com using “Data Analyst @ Egbeda” as the subject of the mail.
Note: Only qualified candidates will be contacted.