Data Analyst
Full-time
PZ Cussons
Job title : Data Analyst
Job Location : Lagos Deadline : June 29, 2026 Quick Recommended LinksJob ID: JR002874
Job Responsibilities
- Analyze large datasets to identify trends, patterns, opportunities, and actionable business insights.
- Develop, maintain, and optimize dashboards, reports, and visualizations using tools such as Power BI.
- Collaborate with business stakeholders to gather reporting and analytical requirements.
- Translate business requirements into meaningful data models, KPIs, and analytical outputs.
- Perform data validation, cleansing, and quality checks to ensure the accuracy and reliability of reports and insights.
- Support business functions with ad-hoc analysis and decision-support reporting.
- Interpret and communicate analytical findings clearly to both technical and non-technical stakeholders.
- Work closely with Data Engineers and IT teams to ensure availability and integrity of data sources.
- Support the development and adoption of reporting standards, governance, and best practices.
- Monitor business performance metrics and provide proactive insights to improve operational effectiveness.
- Create and maintain documentation for dashboards, reports, and analytical processes.
- Support end users through training, user guides, and analytics adoption initiatives.
- Ensure that data compliance and security requirements are adhered to during analysis and reporting activities.
- Stay updated with the latest trends and developments in business intelligence, analytics, and visualization technologies.
Qualifications
- Degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or any related field.
- Experience in data analysis, business intelligence, reporting, or a similar analytical role.
Technical/Professional Experience:
- Strong proficiency in SQL for querying and analyzing data.
- Experience with data visualization and reporting tools, such as Power BI.
- Understanding of data modelling concepts and reporting best practices.
- Experience analyzing and interpreting large and complex datasets.
- Experience gathering business and reporting requirements from stakeholders.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to communicate insights effectively to technical and non-technical audiences.
- Experience working with Microsoft technologies and cloud ecosystem is advantageous.
- Familiarity with Excel, Power Query, DAX, and analytical tools.
- Basic understanding of data warehousing and ETL concepts.
- Experience working within an Agile framework, such as Scrum or Kanban.
- Knowledge of statistical analysis or programming languages such as Python or R is an advantage.
- Ability to work independently and collaboratively in a fast-paced environment.
Vacancy posted 1 day ago
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