Total 1 data entry job vacancies in Customer Service category in pasig city philippines

We're looking for a proactive and strategic Channel Strategy Analyst to join our Visa Client Care Operations team. You'll develop and optimize channel strategies, ensuring they align with our clients' needs.

Key Responsibilities:

• Technical Skills:
  • Use data analysis tools like Excel, SQL, Python, R, or similar software.
  • Collect, clean, and manage large datasets to support business goals.
  • Apply statistical methods and create data visualizations to interpret trends.
• Analytical Thinking:
  • Spot patterns and trends in data to provide actionable insights.
  • Use critical thinking and problem-solving to draw meaningful conclusions.
  • Turn complex data into clear, actionable recommendations.
• Communication Skills:
  • Present findings clearly through reports, presentations, and other channels.
  • Explain complex analyses effectively to both technical and non-technical stakeholders.
• Business Acumen:
  • Understand business operations and key performance indicators (KPIs) relevant to Visa Client Care.
  • Align data analysis with business objectives and strategic goals.
• Collaboration:
  • Work effectively within a team to gather requirements, analyze data, and deliver results.
  • Collaborate with different departments to understand business needs and provide insights.
• Benefits Reporting:
  • Work with business partners to establish baselines for calculating Actual vs. Forecasted Benefits.
  • Ensure the adoption of transformation initiatives to meet forecasted benefits, working closely with business teams.
  • Be accountable for reporting realized benefits or gaps compared to forecasted outcomes.

Additional Expectations:

• Industry Knowledge: Experience or expertise in the finance industry is a plus.
• Project Management: Manage the analysis process from data collection to report delivery.
• Attention to Detail: Ensure accuracy and consistency in data analysis.
• Adaptability: Stay current with evolving data analysis techniques and technologies.

Hybrid Position:
This is a hybrid position. You'll alternate between remote and office work, typically working from the office two days a week (usually Tuesdays and Wednesdays), aiming for 50% office time based on business needs.