Data Analyst at Elizabeth Maddeux

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.

Description

• 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.
• ranslate 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 related discipline.
• Minimum of 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 (Dashboard development, data modelling, DAX, visualization design).
• Strong SQL and database management skills.
• Advanced Microsoft Excel and data modelling.
• Strong statistical and predictive analytics capability.
• Strong Strategic thinking, problem-solving and data-driven decision-making.

What We Offer

• Salary: N150,000 - N200,000 monthly. 
• Opportunity to work in a structured pharmaceutical organization.
• Professional growth and learning opportunities.
• Supportive and collaborative work environment.

Method of Application

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