Commercial Performance & Monetization Analyst at NCBA Group

Job Purpose Statement

The Commercial Intelligence & Monetization Analyst will support the Chief Commercial Officer in developing and executing LOOP's commercial strategy. The role is responsible for designing data-driven pricing, monetization, and revenue optimization frameworks to enhance profitability and strengthen market positioning for LOOP.

This position combines strategic financial analysis, pricing intelligence, and data insights to ensure commercial efficiency, sound financial performance, and competitive advantage. The Analyst will work cross-functionally with Product, Data Science, Finance, and Operations teams to drive monetization opportunities, safeguard revenue, and generate actionable insights for informed decision-making.

Key Accountabilities (Duties and Responsibilities)

Financial 10%


Value creation through process and product reviews with owners to evaluate efficiency and effectiveness of products or process and recommendation on way forward.
Ensures that all process improvement initiatives are being tracked and reported on a regular basis.
Maintaining cost efficiency in delivering projects.


Internal business processes 70%


Manage and execute the Business Analysis effort during the entire project lifecycle. This entails understanding the business needs and project objectives then defining Business requirement documents (BRDs) and Use Cases using relevant tools and techniques.
Lead and guide business units in the project Start-up and Initiation phase; strictly managing drawdowns, governance and documentation.
Lead business process reviews and support continuous improvement of bank systems, processes and people across all channels to ensure that the bank has the appropriate platform and capabilities for delivery of strategy.
Lead the testing and user acceptance process to ensure solutions are successfully implemented and meet client/business requirements. Manage specific application quality assurance and help desk activities including the tracking of bug reports, change requests and ensuring their timely resolution.
Management of operational risks in the design and implementation of new and/or changes to business processes and systems


Customer 10%


Build and maintain positive working relationships with business and technical teams; serve as resource for technical or business expertise and advice on strategic priorities and projects.
Support the integration of best practice into the bank's process re-engineering methodologies and tools using best practice frameworks; Mission Directed Work teams & Six Sigma, to support innovation
Communicating change, insights and plans to cross-functional team members and management.


Learning and growth 10%


Personal Competence Development
Completion of at least 1 technical skills/certification per annum
Staying up-to-date with the advances in technology to automate and modernise systems and processes.
Conduct research into project-related issues and products in order to foster continuous improvement.


Job Specifications

Academic Qualifications:


Bachelor's degree in Actuarial Science, Statistics, Economics, Finance, Business Administration, or related field.
Strong proficiency in data analytics tools (SQL, R, Python) and BI tools (Power BI, Tableau).


Professional Qualifications:


Proven experience in financial modelling, data analytics, and business intelligence.
Knowledge of machine learning concepts and advanced statistical analysis will be an added advantage.
Strong project management and presentation skills.


Experience:


Minimum of 6 years in banking, financial services, or digital business, with at least 3 years in credit management, portfolio analysis, or commercial analytics.
Experience in pricing, revenue assurance, and monetization strategy preferred.
Demonstrated ability to translate complex data into actionable insights and strategic recommendations.