Verified Employer Hiring Fast Featured Role

Data & Analytics Engineer

AIICO Insurance verified
flag
Location
location_on -
Work Model
home_work onsite
100% Remote · 0% Hybrid · 0% On-site
Job Type
work Full-time
External Interest
open_in_new 22 clicks
Salary
payments Competitive

Intelligence Match

Match: ??%

rocket_launch
Skills Match 87%
Experience Match 88%
Portfolio Match 84%
lock

Unlock Your Personalized Match

Sign in to see your exact score breakdown and personalized insights.

Sign In

Team Tagline

No Tagline provided.

About the role

AIICO Insurance Plc, Nigeria's largest life insurer, is seeking a Data & Analytics Engineer to build and maintain data pipelines, models, and platforms powering the Enterprise Data Warehouse (EDW) and business intelligence initiatives. The role combines data engineering and analytics engineering to ensure high-quality, well-modeled, timely data for reporting, advanced analytics, and actuarial IFRS17 reporting.

Required Skills

Responsibilities

  • Maintain the Enterprise Data Warehouse (EDW) as a trusted single source of truth.
  • Design, build, and optimize ETL/ELT pipelines using Python, dbt, and Airflow.
  • Collect and load structured and unstructured data from internal and external systems.
  • Manage organization-wide data collection for IFRS17, automating inputs and producing monthly outputs.
  • Design and optimize dbt models, transforming raw data into analytics-ready datasets.
  • Ensure data quality, accuracy, and integrity across pipelines and reporting systems.
  • Analyze data maturity, uncover gaps, and recommend improvements.
  • Implement best practices for data governance, model testing, validation, and documentation.
  • Ensure version control and CI/CD workflows using Git and Azure DevOps.
  • Collaborate with analysts, actuaries, and business stakeholders.
  • Uphold data security and governance with DBAs and system administrators.
  • Develop, maintain, and optimize dbt models with tests, documentation, and version control.
  • Translate business requirements into scalable data models.
  • Support incremental data refreshes and transformation logic.
  • Monitor and troubleshoot data workflows.
  • Create machine learning models for predictive analytics.
  • Collaborate with business units to define KPIs, use cases, and reporting needs.
  • Support BI solutions using SSRS, SSIS, and SSAS.
  • Enable Data Analysts with well-structured, analytics-ready datasets.
  • Provide technical guidance for predictive analytics and advanced statistical modeling.
  • Supply data models and knowledge base to the AI system.
security

Job Application Safety Disclaimer

Your security and privacy are our top priorities. Please be aware that InStreamIQ will never ask you to pay any fees for job applications, placements, or training as a condition of employment.

Furthermore, legitimate employers will not ask for sensitive personal identification such as your Bank Verification Number (BVN), National Identification Number (NIN), or Passport details during the initial application phase. Do not share financial information or make any payments to individuals or organizations claiming to represent an employer. If you encounter any suspicious requests, please report the listing immediately via our support channels.

fact_check

Confirm Application & Data Sharing

By proceeding, you consent to sharing your InStreamIQ professional profile with AIICO Insurance for the purpose of applying for the Data & Analytics Engineer position.

Shared data includes your: Email address, Work Experiences, Educational Background, Technical Skills, and Portfolio Projects.

This information is shared exclusively for this specific candidacy. You can manage your privacy settings in your dashboard.

exit_to_app

Leaving InStreamIQ

You are moving to an external platform to complete your application. Please note that InStreamIQ is not responsible for the data security or privacy practices of third-party websites.

Safety Reminder: Do not share highly sensitive information like BVN, NIN, or make any form of payment on external sites.

By clicking 'Continue', you acknowledge that you are proceeding at your own discretion to the employer's chosen platform.

mail

Apply via Email

You are about to apply for this position via email. Please send your resume and cover letter to the following email address.

Safety Reminder: Do not share highly sensitive information like BVN, NIN, or make any form of payment via email.