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:

Email:
Subject Line: Data / Business Intelligence Analyst