Data Analyst at Elizabeth Maddeux

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
5 days ago

Additional Details

Job ID
144316
Job Views
27

Job Description






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.



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