Quick Summary
DUTIES & RESPONSIBILITIES Analyse large and complex datasets relating to operational workflows, branch performance, customer journeys, transaction processes and back-office efficiencies.
Responsibilities
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Analyse large and complex datasets relating to operational workflows, branch performance, customer journeys, transaction processes and back-office efficiencies.
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Identify operational trends, bottlenecks and opportunities for automation and process improvement.
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Provide actionable recommendations to improve productivity, reduce costs and enhance customer service.
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Develop and maintain dashboards and reports using business intelligence tools such as Power BI, Tableau or Qlik for real-time monitoring of operational KPIs.
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Create clear and insightful data visualisations for executive and operational stakeholders.
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Continuously improve reporting frameworks in line with evolving business requirements.
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Collaborate with Retail, Commercial, Technology, Operations and Risk teams to understand business requirements and address operational challenges.
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Translate business requirements into analytical solutions that connect data, technology and business strategy.
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Support strategic initiatives aimed at strengthening operational resilience and competitiveness.
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Promote data quality, consistency, security and integrity across operational analytics activities.
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Work with Data Governance, Information Technology and Compliance teams to ensure operational data complies with regulatory and internal standards.
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Support the development and implementation of data governance policies and best practices.
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Lead process improvement initiatives aimed at enhancing efficiency and minimising operational risk.
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Monitor emerging technologies, analytical methodologies and banking industry trends and recommend appropriate tools and approaches.
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Provide guidance and mentorship to junior business intelligence analysts and associates.
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Promote data literacy, analytical thinking and continuous learning across operational teams.
Requirements
~1 min readTechnical 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
Location & Eligibility
Listing Details
- Posted
- October 12, 2026
- First seen
- October 12, 2026
- Last seen
- October 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 12, 2026
Signal breakdown
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