Finance Operations Analyst

Responsibilities

• Data Controls and Analysis:
  Analyze extensive datasets, extract trends, and insights, ensuring accuracy and relevance to business needs.
• KPIs Tracking & Integration:
  Develop, track, and provide key performance indicators (KPIs) to enhance financial performance tracking and Integration of KPIs into FP&A models, ensuring that all business insights are based on data-driven analysis and up-to-date information.
• Business Partnering & Stakeholder Communication:
  Actively provide data-driven insights to key stakeholders, translating complex data into actionable recommendations. Contribute to solving strategic business decisions through continuous monitoring and reporting.
• Resolve variances through contacting internal and external stakeholders including Banks or Clients who are responsible for the team’s service delivery within reconciliations.
• Be the single point of contact with senior business external stakeholders both internally and externally.
• Regular follow‑up / escalation on the long‑pending items for logical closure with respective teams within the company (Finance, Tech, Operations).
• Analyze business requirements and translate them into data‑driven financial solutions. Identify opportunities to maximize revenue through rate fencing, upselling strategies, and segment‑based pricing.
• Contributes to budgeting, forecasting, and variance analysis for Financial Planning, ensuring Excellence in Financial Performance.
• Work on cost optimization initiatives

• Tools Proficiency is a must: SQL and VBA full proficiency, strong knowledge of BI tools (Looker, Tableau or Power Bi), Python is a plus.
• Educational Background:
  Bachelor’s degree in mathematics, Statistics, Engineering, Data or related field.
• Professional
  
  Experience:
  
  1+ years of experience in Business Analytics roles, either Product Analytics, Data and BI, or data‑driven FP&A or Audit roles.
• Analytical skills: very strong analytical skills, willingness to deep dive in large datasets and complex models, with the ability to translate complex data into actionable insights.
• Ability to manage multiple projects and balance dynamic workloads and commitments.
• The ability to work independently and be a team player.