Business Intelligence Associate

Business IntelligenceData & AI
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Quick Summary

Overview

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

Technical Tools
Business IntelligenceData & AI

Responsibilities

~2 min read
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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 read

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

Location & Eligibility

Where is the job
Nigeria
On-site within the country
Who can apply
NG

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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Business Intelligence Associate