Data Business Intelligence Analyst
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Job Summary
Data / Business Intelligence Analyst
Industry: Insurance
Location: Lagos (Mainland) Nigeria
Employment Type: Full-Time (Permanent)
Department: Information Technology
Reports To: Unit Head Non-Core Business Applications
Salary Range:Gross Per Annum
Experience Level: 35 Years
JOB SUMMARY
The Data / Business Intelligence Analyst will be responsible for transforming complex multi-source data into actionable insights that drive strategic and operational decision-making across the organization.
The role requires a strong blend of technical expertise analytical capability and business acumen. The successful candidate will act as a critical bridge between data systems and business stakeholders delivering high-quality analytics dashboards and reporting solutions that enhance organizational performanceparticularly within the insurance industry.
KEY RESPONSIBILITIES
1. Data Analysis & Modelling
- Collect analyze and interpret large complex datasets from multiple sources.
- Identify trends correlations and patterns to support business insights.
- Develop optimize and maintain scalable data models and database structures.
- Ensure data accuracy integrity and availability across all systems.
2. Business Intelligence Development
- Design develop and deploy interactive dashboards and reports using Power BI or Tableau.
- Provide real-time visibility into key business metrics and KPIs.
- Continuously enhance reporting tools to meet evolving business needs.
3. Data Engineering & Process Optimization
- Develop and standardize data cleansing transformation and validation processes.
- Improve data workflows and pipelines for efficiency and scalability.
- Identify opportunities for operational improvements through advanced analytics.
4. Reporting & Analytics Framework
- Establish and manage a centralized reporting structure across departments.
- Serve as the primary point of contact for enterprise-wide data and reporting requests.
- Ensure consistency and standardization in reporting formats and metrics.
5. Strategic Decision Support
- Translate business requirements into analytical solutions and reporting outputs.
- Provide data-driven insights and recommendations to senior management.
- Support long-term strategic planning through predictive and trend analysis.
6. Data Governance & Compliance
- Develop and enforce data governance policies standards and best practices.
- Ensure compliance with data protection regulations and reporting standards.
- Promote data quality security and ethical analytics practices.
KEY DUTIES / DAY-TO-DAY ACTIVITIES
- Extract query and analyze data from relational databases such as SQL Server Oracle and MySQL.
- Perform data cleaning transformation and preprocessing using SQL Python or Excel.
- Monitor automated dashboards and reports identifying and resolving discrepancies.
- Conduct statistical diagnostic and predictive analyses to solve business problems.
- Collaborate with cross-functional teams within Agile project environments.
- Maintain detailed documentation of data processes models and reporting frameworks.
QUALIFICATIONS & REQUIREMENTS
Educational Qualification
- Minimum of HND / . in Computer Science Statistics Mathematics or any related quantitative discipline.
Experience
- 35 years of progressive experience in Data Analysis or Business Intelligence roles.
- Mandatory: Prior experience within the Insurance Industry.
TECHNICAL COMPETENCIES
- SQL: Advanced proficiency in SQL Server (query optimization performance tuning database objects).
- BI Tools: Strong hands-on experience with Power BI or Tableau.
- Programming: Proficiency in Python or R for data analysis and automation.
- Microsoft Excel: Advanced skills (Pivot Tables Power Query Macros).
- Database Systems: Solid knowledge of SQL Server Oracle and MySQL environments.
CORE COMPETENCIES & SKILLS
- Strong analytical and problem-solving abilities with high attention to detail.
- Excellent communication and stakeholder management skills.
- Ability to translate complex datasets into clear actionable business insights.
- Strong organizational and time management capabilities.
- Collaborative mindset with the ability to work across teams.
- High level of curiosity and commitment to continuous learning.
COMPENSATION & BENEFITS
- Competitive Annual Gross Salary:
- Health Maintenance Organization (HMO) Coverage
- Statutory Pension Contributions
- Transport Meal and Communication Allowances
- 13th Month Salary
- Performance-Based Bonuses
- Training & Professional Development Opportunities
- Enhanced Annual Leave Package
IMPORTANT NOTE
Shortlisted candidates will be required to present:
- Demonstrable data analytics or BI projects
- Tools and technologies utilized
- Quantifiable business impact of delivered solutions
APPLICATION PROCESS
Interested and qualified candidates should submit their updated CV and a brief cover letter highlighting relevant experience (with emphasis on insurance sector exposure) to:
