Job Description - Data / Business Intelligence Analyst
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: ₦5,300,000 – ₦6,000,000 Gross Per Annum Experience Level: 3–5 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 performance—particularly 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 / B.Sc. in Computer Science, Statistics, Mathematics, or any related quantitative discipline.
Experience
3–5 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.
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:[email protected] Subject Line:Data / Business Intelligence Analyst
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