• Application Deadline:
• Position: Business Analyst



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 3 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Job Description

• As our Business Analyst, you’ll sit between product, data, and the business.


• You’ll translate business problems into AI solutions, track performance, and make sure we’re building what customers actually need and will pay for.


• You’ll work hybrid, with flexibility to work from home and come in for product sprints, client meetings, and team strategy sessions.

Responsibilites

• Product & Market Analysis: Research market trends, competitor AI products, and customer needs in Nigeria/Africa.


• Data to Insights: Analyze product usage data, model performance, and business metrics to find opportunities for growth and optimization.


• Requirements Gathering: Work with founders, engineers, and data scientists to define product requirements, user stories, and success metrics for AI features.


• Process Improvement: Map business processes and identify areas where AI/automation can drive efficiency and revenue.


• Stakeholder Management: Present findings and recommendations to leadership. Help prioritize the product roadmap based on ROI.


• Go-to-Market Support: Support pricing, packaging, and launch strategy for new AI products.


• Reporting: Build dashboards and reports to track KPIs for product, sales, and customer success.

Requirements

• Education: Bachelor’s degree in Business, Economics, Statistics, Computer Science, or related field.


• Experience: Minimum of 3 years as a Business Analyst, Product Analyst, or in a similar role. Startup or tech experience is a big plus.


• Analytical Skills: Strong Excel / SQL. Experience with dashboards - PowerBI, Tableau, or Metabase. Basic Python for data analysis is a plus.


• AI/Tech Fluency: You don’t need to code models, but you must understand AI/ML concepts, data pipelines, and how to measure AI product success.


• Business Acumen: Ability to connect data insights to revenue, cost, and business growth.


• Communication: Excellent written and verbal communication. You can explain complex data to non-technical people.


• Problem Solver: Comfortable with ambiguity. You can define the problem before jumping to solutions.