Senior Business Analyst - Operations at FairMoney

Role Overview:

The Senior Business Analyst – Operations will be responsible for conducting analysis across Supply Chain, Retention, and Onboarding teams under the operations umbrella. This role plays a key part in optimizing processes, identifying inefficiencies, implementing controls, and supporting strategic decision-making. The Senior Business Analyst will report directly to the Operations Director.

Key Duties:

Data Analysis and Reporting:

• Analyze key metrics across Supply Chain, Retention, and Onboarding functions to identify trends and areas for improvement.
• Develop and maintain dashboards to track key performance indicators (KPIs).
• Present data-driven insights to senior management to support strategic decisions.

Process Optimization & Efficiency:

• Identify inefficiencies in logistics, retention, and onboarding processes and propose improvements.
• Support leadership in implementing automation and streamlined workflows.
• Work closely with teams to ensure operational efficiency and cost-effectiveness.
• Implement controls and standardized processes to ensure consistency and monitoring.

Cross-Functional Collaboration:

• Partner with logistics, customer success, and finance teams to execute operational initiatives.
• Act as a liaison between departments, ensuring alignment on key projects.

Strategic Planning & Decision Support:

• Assist in developing operational strategies to improve performance and reduce costs.
• Provide data-backed recommendations to enhance decision-making.
• Support business growth initiatives by leveraging operational insights.

Qualifications and Skills:

• Bachelor's degree in Engineering, Business Administration, Data Analytics, Supply Chain, or a related field (MBA is a plus).
• Minimum of 3-5 years of experience in operations analysis, data analytics, or business strategy.
• Advanced proficiency in Excel and SQL (mandatory).
• Experience with Tableau as the primary BI tool.
• Strong analytical and problem-solving skills, with the ability to extract insights from large datasets.
• Strong communication skills to present complex data clearly.
• Ability to adapt to a fast-paced, dynamic work environment.