📊 Financial Analyst — English C1
• Description: Highly analytical, results-oriented Financial Analyst to support financial planning, reporting, and strategic decision-making. Works closely with leadership and cross-functional teams to provide insights on financial and operational performance.
• Schedule: Monday to Friday — Base hours: 8:00 a.m. – 6:00 p.m. (CST)
• Responsibilities:
• Support annual budgeting and quarterly forecasting processes across business units
• Develop, maintain, and optimize financial models and forecasting tools
• Prepare monthly and quarterly financial reports, including variance analysis and executive summaries
• Analyze financial and operational KPIs to identify trends and improvement opportunities
• Collaborate with cross-functional teams on strategic initiatives and decision-making
• Perform ad hoc financial analyses, including scenario and investment modeling
• Work with large volumes of data from multiple systems and reconcile discrepancies
• Support process improvement, automation, and system optimization initiatives
• Participate in financial system integrations and ensure data quality
• Manage and analyze information using tools such as Excel and Power BI
• Requirements:
• Bachelor’s degree in Finance, Accounting, Economics, or related field
• Preferred: 5+ years of experience (profiles with 3–4 years and strong analytical ability will be considered)
• Advanced Excel skills, financial modeling, and Power BI
• Experience with financial planning systems (e.g., Anaplan, Adaptive Insights) is a plus
• Strong analytical, organizational, and problem-solving skills
• Excellent communication skills to present insights to stakeholders
• English proficiency at C1 level
• Key Competencies and Skills:
• Advanced financial modeling
• Data analysis and interpretation
• Effective stakeholder communication
• Attention to detail and accuracy
• Time management and prioritization
• Nice to Have (Preferred):
• Experience in multi-entity or high-growth environments
• Participation in system integrations or process transformation
• Experience working with large volumes of data
• Knowledge of databases or data extraction tools
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