InterviewStack.io LogoInterviewStack.io
Browse more Business Intelligence Analyst jobs

Data / Business Intelligence Analyst

Sigma Consulting Group

Lagos, Nigeria1 month ago
15 views7 saves0 applies

Prepare for this role


Benefits

Health InsuranceRetirement Plan

Job Type

full time

Description

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.

COMPENSATION & BENEFITS


  • Competitive Annual Gross Salary: ₦5,300,000 – ₦6,000,000

  • 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: hiring@mysigma.io
Subject Line: Data / Business Intelligence Analyst

This job is found at InterviewStack.io

Skills

analyticsdashboardsdata analysispower bitableausqlpythonagilestatisticsexcelmysqlstakeholder managementstrategic planningdata governancedata qualitybusiness intelligencerelational databases

About Sigma Consulting Group

Sigma Consulting Group is a premier advisory firm offering bespoke recruitment and strategic business solutions, specializing in HR infrastructure, payroll compliance, and staffing for industries including healthcare, fintech, and retail.

staffing and recruiting, human resourcesWebsite