Vacancies and How to Get a Job at AIICO Insurance Plc (Salary, Roles & Application Guide)
AIICO Insurance Plc is recruiting for two data-related positions in Lagos: Data & Analytics Engineer and Data Analyst. These full-time opportunities are suitable for professionals who want to build their careers in data engineering, business intelligence and analytics within Nigeria's financial services sector.
For candidates searching for AIICO Insurance jobs in Nigeria 2026, the recruitment offers opportunities at different experience levels. The Data & Analytics Engineer position requires three to four years of experience, while the Data Analyst role requires one to two years.
The application deadline for both positions is 3 November 2026.
About AIICO Insurance Plc
Established in 1963, AIICO Insurance Plc is a Nigerian financial services group with business interests in insurance, health maintenance and asset management.
The company uses financial and operational information to support business decisions, manage risks and improve customer services. As a result, data professionals can play an important role in helping teams understand business performance, improve reporting and identify opportunities for growth.
The current AIICO recruitment exercise focuses on strengthening data engineering and analytics capabilities. Applicants with practical SQL, Python, Power BI or related experience should carefully review the requirements for each role.
Available Positions at AIICO Insurance Plc
- Data & Analytics Engineer – Lagos, hybrid
- Data Analyst – Lagos
1. Data & Analytics Engineer
Location: Lagos
Employment type: Full-time, hybrid
Experience required: 3–4 years
Application deadline: 3 November 2026
What You'll Do
The Data & Analytics Engineer will help build and maintain the systems that collect, organise and prepare company data for reporting, business intelligence and advanced analytics.
Key responsibilities include:
- Building and improving data pipelines that move information from different sources into the Enterprise Data Warehouse.
- Using tools such as Python, dbt and Airflow to automate data processing and workflows.
- Transforming raw information into reliable datasets for business reporting and analysis.
- Maintaining data quality and investigating missing, inaccurate or inconsistent records.
- Supporting the collection and reporting of data required for IFRS 17 actuarial assessments.
- Developing financial and operational data models that meet business needs.
- Applying testing, documentation and version-control practices to improve data reliability.
- Working with analysts, actuaries and business teams to identify reporting requirements.
- Supporting business intelligence solutions involving SSRS, SSIS and SSAS.
- Developing machine learning models for predictive analytics and providing structured data to support AI systems.
This is a technical role that combines data engineering with analytics engineering. The successful candidate should be comfortable working with data systems as well as understanding how prepared data supports business decisions.
Who This Role Is Best For
This vacancy is suitable for professionals with experience in data engineering, analytics engineering, database development or business intelligence.
The stated requirements include:
- An HND or bachelor's degree in Computer Science or a related discipline.
- Three to four years of relevant experience.
- Knowledge of SQL and Python, listed as an advantage.
Experience with data pipelines, data modelling, ETL/ELT processes, data warehouses and automated reporting will be useful. Familiarity with dbt, Airflow, Git, Azure DevOps and Microsoft's SQL Server reporting and analysis tools may also strengthen an application.
Candidates who have worked with financial or insurance data should highlight that experience, particularly where it involved reporting accuracy, data governance or complex business requirements.
Estimated Salary
The vacancy notice does not state a salary figure.
Salary: Negotiable based on experience.
How to Apply
The deadline is 3 November 2026.
How to Increase Your Chances
- Highlight projects where you built or maintained data pipelines.
- Explain how you used SQL and Python to automate tasks or improve data processing.
- Mention relevant experience with data warehouses, dbt, Airflow or business intelligence tools.
- Demonstrate how you improved data quality, reduced manual reporting or made datasets more reliable.
- Include practical projects or a portfolio that shows your technical ability, where appropriate.
Rather than simply listing technologies, explain what you built with them and the problem you solved.
2. Data Analyst
Location: Lagos
Employment type: Full-time
Experience required: 1–2 years
Application deadline: 3 November 2026
What You'll Do
The Data Analyst will examine business and insurance data, produce reports and dashboards, and help management understand trends that affect company performance.
Key responsibilities include:
- Analysing data on insurance policies, claims, payments, renewals and business production.
- Investigating issues such as delayed claims, early policy cancellations and low customer retention.
- Building and maintaining interactive Power BI dashboards.
- Using DAX and Power Query or M Query to prepare data and support reporting.
- Preparing regular management reports and responding to specific information requests.
- Turning complex results into clear explanations and practical recommendations.
- Working with Claims, Underwriting, Customer Service and Finance teams to develop relevant performance indicators.
- Checking data for errors and inconsistencies before producing reports.
- Helping teams use analytics to improve customer satisfaction, loyalty and business decisions.
The position is not limited to preparing charts. AIICO is looking for someone who can interpret the numbers, explain what they mean and help business teams decide what to do next.
Who This Role Is Best For
This vacancy is suitable for early-career data analysts, business intelligence professionals and candidates with relevant analytical experience.
The stated requirements include:
- An HND or bachelor's degree in Computer Science or a related discipline.
- One to two years of relevant experience.
- Knowledge of SQL and Power BI, listed as an advantage.
Experience creating reports, validating datasets, analysing business performance or preparing dashboards will be valuable. Familiarity with financial services, insurance data or customer behaviour analysis may also help.
Candidates with experience outside the insurance industry can still demonstrate relevant skills through projects involving sales, customer retention, financial performance or operational reporting.
Estimated Salary
The vacancy notice does not provide a salary figure.
Salary: Negotiable based on experience.
How to Apply
Submit your application before 3 November 2026.
How to Increase Your Chances
- Highlight dashboards or reports you have built using Power BI.
- Demonstrate your SQL skills with examples of how you extracted, cleaned or analysed data.
- Explain how your analysis helped identify a problem or support a decision.
- Include your experience with DAX, Power Query and data validation where applicable.
- Prepare to explain the business meaning of your findings, not just the technical steps you used.
A small portfolio with clear descriptions of the problem, analysis and outcome can help demonstrate your abilities, particularly if you have limited professional experience.
How to Successfully Apply for Jobs at AIICO Insurance Plc
Tailor your CV to the position rather than sending the same application for both vacancies.
For the Data & Analytics Engineer role, prioritise data pipelines, SQL, Python, data modelling, ETL/ELT, automation, data quality and engineering tools.
For the Data Analyst role, emphasise SQL, Power BI, dashboard development, data validation, reporting, KPI analysis and communication of business insights.
Use measurable achievements wherever possible. For example, explain how you improved reporting accuracy, automated a recurring process or helped a team identify a performance issue. Include figures only when they are accurate and can be explained during an interview.
Keep your CV clear and relevant, and ensure that your qualifications, employment dates and contact details are correct. Review the vacancy requirements before submitting your application.
Common Mistakes to Avoid
- Applying for the engineering role without demonstrating relevant technical experience.
- Sending a generic CV that fails to highlight the required skills.
- Listing SQL, Python or Power BI without providing evidence of practical use.
- Focusing only on tools instead of explaining the business problems you solved.
- Ignoring the distinction between the two roles' experience requirements.
- Waiting until the closing date to submit an application.
