Operation Transformation Data Analyst

Responsible for analyzing operational data, generating insights on the performance of key processes, and building dashboards to support process improvement initiatives.

Main Responsibilities:

• Analyze operational data to identify trends, inefficiencies, and opportunities for process improvements.
• Provide actionable insights to support performance monitoring of key processes across the bank.
• Collaborate with process owners to interpret data and develop strategies to optimize operations.
• Collect and analyze data related to workflow processes, resource allocation, and operational efficiencies.
• Provide data-driven recommendations to senior management.
• Design, build, and maintain dashboards that visualize key performance indicators (KPIs) for operational processes.
• Ensure dashboards provide real-time, user-friendly, and accurate insights to stakeholders.
• Continuously enhance dashboard functionality based on feedback and evolving business needs.
• Establish metrics and benchmarks for evaluating the effectiveness of operational processes.
• Monitor and report on the performance of key processes to identify areas for improvement.
• Support periodic reviews of operational metrics to assess alignment with business objectives.
• Work closely with the Operational Transformation & Assurance team to analyze data in support of ongoing process improvement projects.
• Use data to measure the impact of transformation initiatives and recommend further enhancements.
• Provide analytical support for root cause analysis of operational issues.
• Analyze process gaps and inefficiencies
• Recommend actionable solution for process improvement
• Ensure the accuracy, completeness, and consistency of data used in reporting and analysis.
• Support the implementation of data governance policies to maintain data integrity and compliance with regulatory standards.

Knowledge and Skills:

• Proficiency in data analysis and visualization tools (e.g., Power BI, Tableau, Excel).
• Strong skills in SQL for querying and managing databases.
• Basic understanding of programming languages like Python or R is an advantage.
• Knowledge of process improvement methodologies (e.g., Lean, Six Sigma) is a plus.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills to translate data insights into actionable strategies.
• Ability to work collaboratively in a cross-functional team environment.
• High attention to detail and commitment to delivering accurate results.

Qualifications and Experience:

• Bachelor’s degree in data Analytics, Computer Science, Statistics, Mathematics, Business Administration, or related field.
• Additional certifications in data analytics (e.g., Tableau, Power BI, SQL, Python) and Process Improvement (Lean Six Sigma) are an advantage.
• Minimum of 2-4 years of experience in data analysis, preferably in a banking or operational environment.

• Proven experience in designing and developing dashboards to track operational performance.

  NMB Bank Plc is an Equal Opportunity Employer. We are committed to creating a diverse environment and achieving a gender balanced workforce.
  Female candidates and people living with disabilities are strongly encouraged to apply for this position.

  NMB Bank Plc does not charge any fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.

  Only shortlisted candidates will be contacted.