Job Description
COMPANY: Potentia Analytics
LOCATION: Lagos, Nigeria (On-Site / Hybrid)
EMPLOYMENT TYPE: Full-Time
ABOUT POTENTIA ANALYTICS
Potentia Analytics is a data analytics and financial advisory firm helping businesses make better decisions through data intelligence and structured financial thinking. We combine business intelligence, predictive analytics, and financial advisory under one roof — giving our clients a complete, real-time view of their performance and a clear roadmap for growth.
ABOUT THE ROLE
We are looking for a driven, detail-oriented Full Stack Data Analyst to join our growing team. In this role, you will work across the full data lifecycle — from collection and cleaning to analysis, visualisation, and financial reporting — bridging the gap between raw business data and actionable intelligence for our clients.
This is a hands-on, client-facing role that requires both strong technical capability and the ability to communicate findings clearly to non-technical audiences. If you are passionate about data, comfortable with numbers, and excited about working across multiple industries, this role was built for you.
KEY RESPONSIBILITIES
- Design, build, and maintain custom BI dashboards and KPI reporting frameworks for clients
- Collect, clean, and analyse large and complex datasets to surface meaningful business insights
- Support financial analysis, bookkeeping review, and management reporting across client engagements
- Build predictive models and data-driven forecasts to support client decision-making
- Translate complex data findings into clear, executive-ready reports and presentations
- Collaborate with the advisory team on business analysis and process optimisation engagements
- Identify trends, anomalies, and opportunities within client data
- Maintain data integrity and documentation across all assigned projects
REQUIREMENTS
Education
- BSc in Economics, Accounting, Statistics, Computer Science, Mathematics, or any related field
- Master's degree is a strong advantage
Experience
- Minimum of 2 years experience in a data analytics, business intelligence, or finance-related role
- Demonstrated experience working with real business data and delivering client-ready outputs
Certifications (Preferred — not mandatory)
- ICAN, ACCA, CFA, or CPA
- Google Data Analytics Certificate
- Microsoft Power BI Certification
- Any other recognised data or finance certification is an advantage
SKILLS & COMPETENCIES
Technical
- Power BI or Tableau — dashboard design and KPI reporting
- Advanced Microsoft Excel — financial modelling, pivot tables, complex formulas
- SQL — data querying and database management
- Python or R — data analysis and automation
- ETL processes and data pipeline management
- ERP systems experience (QuickBooks, Sage, or similar)
- Data visualisation and storytelling
Soft Skills
- Strong analytical thinking and attention to detail
- Excellent written and verbal communication skills
- Ability to manage multiple projects and meet deadlines
- Comfortable working directly with clients
- Self-starter with a high level of initiative
WHAT WE OFFER
- Competitive compensation based on experience (determined after assessment)
- A dynamic, collaborative team environment
- Exposure to diverse industries and high-impact client engagements
- Real opportunity for growth as the firm scales
- A culture that values intelligence, ownership, and results
HOW TO APPLY
Send your CV and a brief cover letter to DO THIS TO GET SWIFT REPLY:
📩 ********@*****.*** Subject Line: Full Stack Data Analyst Application
📞********** | **********
🌐 @PotentiaGlobal (X) | TikTok: potentia.analytics Instagram: Potentia_analytics
Only shortlisted candidates will be contacted. Potentia Analytics is an equal opportunity employer.
NOTE: Please be advised that all applications will undergo a structured vetting process, which will include skills assessments Only successful candidates will proceed to the interview stage.
Industries: Accounting, Financial Services, Information Services
Function: Accounting and Finance
Job Skills
- Organizational Skills
- Analytical Skills
- Leadership and Teamwork
- Problem Solving
- Communications
- Basic Computer
Job Overview
Location
Offered Salary
Not disclosed
Expiration date
Experience
Qualification




