Business Intelligence Associate

• Analyse large and complex datasets relating to operational workflows, branch performance, customer journeys, transaction processes and back-office efficiencies.

• Identify operational trends, bottlenecks and opportunities for automation and process improvement.

• Provide actionable recommendations to improve productivity, reduce costs and enhance customer service.

• Develop and maintain dashboards and reports using business intelligence tools such as Power BI, Tableau or Qlik for real-time monitoring of operational KPIs.

• Create clear and insightful data visualisations for executive and operational stakeholders.

• Continuously improve reporting frameworks in line with evolving business requirements.

• Collaborate with Retail, Commercial, Technology, Operations and Risk teams to understand business requirements and address operational challenges.

• Translate business requirements into analytical solutions that connect data, technology and business strategy.

• Support strategic initiatives aimed at strengthening operational resilience and competitiveness.

• Promote data quality, consistency, security and integrity across operational analytics activities.

• Work with Data Governance, Information Technology and Compliance teams to ensure operational data complies with regulatory and internal standards.

• Support the development and implementation of data governance policies and best practices.

• Lead process improvement initiatives aimed at enhancing efficiency and minimising operational risk.

• Monitor emerging technologies, analytical methodologies and banking industry trends and recommend appropriate tools and approaches.

• Provide guidance and mentorship to junior business intelligence analysts and associates.

• Promote data literacy, analytical thinking and continuous learning across operational teams.

JOB REQUIREMENTS

Technical Proficiency: Skilled in SQL, Python, R, and BI tools such as Power BI, Tableau, or QlikView.

Education: Bachelor’s or master’s degree in Business Analytics, Data Science, Computer Science, Statistics, Finance, or a related field.

Experience:

• At least 5 years of relevant experience in business intelligence, analytics, or operational consulting, ideally in banking or financial services.

• Proven record of delivering operational insights and improving processes in large organizations.

• Practical experience with data extraction, modeling, and visualization tools.

• Background working in or with African banking institutions is highly preferred.

Location: Lagos