About the Role: We are seeking a highly motivated and experienced AVP/VP, Business Reporting and Operations to join our GlobeSend TW team. This role will be crucial in driving data-driven decision-making through comprehensive business reporting and insightful analysis, particularly focusing on transforming unstructured data into actionable insights. The successful candidate will play a pivotal role in establishing robust reporting frameworks and contributing to the strategic growth of our GlobeSend business in Taiwan.
Key Responsibilities:
MIS Data Management & Incentive Computation:
- Pull and aggregate Management Information System (MIS) data from various sources.
- Build and maintain accurate reports for the computation and analysis of sales incentives.
- Ensure data integrity and accuracy in all reporting related to incentive schemes.
Business Analysis with Structured Data (ADA):
- Leverage structured data within our Advanced Data Analytics (ADA) platform to perform in-depth business analysis.
- Identify key business trends, performance drivers, and opportunities for improvement.
- Develop and present actionable insights to stakeholders.
Business Analysis with Unstructured Data & Data Structuring:
- Conduct comprehensive data cleaning, compilation, and analysis of current raw, unstructured data from various systems.
- Identify significant trends, patterns, and anomalies within unstructured datasets to inform strategic decision-making.
- Develop methodologies and processes to translate unstructured data into structured formats suitable for ADA ingestion.
- Collaborate closely with the Data Chapter to discuss potential migration of structured data into ADA and optimize data management processes.
Requirements:
Experience:
- Highly experience in business analysis, data analytics, business intelligence, or a related field, preferably within the financial services industry.
- Proven track record in managing and analyzing large datasets, both structured and unstructured.
- Experience with MIS reporting and incentive computation is highly desirable.
Technical Skills:
- Strong proficiency in data extraction and manipulation using SQL, Python, R, or similar tools.
- Demonstrated experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with data warehousing concepts and big data technologies.
- Experience with or understanding of Advanced Data Analytics (ADA) platforms is a plus.
Analytical & Problem-Solving Skills:
- Exceptional analytical skills with the ability to interpret complex data and translate it into clear, concise, and actionable insights.
- Strong problem-solving abilities, particularly in dealing with data quality and structuring challenges.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
Communication & Collaboration:
- Excellent communication and presentation skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Proven ability to collaborate effectively with cross-functional teams, including Finance, Sales, and IT.
Education:
- Bachelor's degree in Business Analytics, Statistics, Computer Science, Economics, Finance, or a related quantitative field. A Master's degree is a plus.
Location:
Taipei Hub - 13F
Job:
Analytics
Schedule:
Regular
Employee Status:
Full time