Deskripsi Pekerjaan
We are seeking a motivated and analytical Data Analysis Assistant to join our dynamic team in Quiapo, Metro Manila. In this pivotal role, you will be responsible for analyzing complex sales data to help the organization achieve aggressive sales targets. You will bridge the gap between raw data and strategic business decisions by identifying key performance trends, forecasting future outcomes, and providing actionable insights to the management team. We are looking for a candidate who is detail-oriented, passionate about data, and eager to contribute to our company's growth.
As a Data Analysis Assistant, you will work closely with the sales and operations teams to ensure data accuracy and integrity. You will be tasked with generating comprehensive monthly and quarterly reports that highlight performance metrics and areas for improvement. Your ability to translate complex datasets into clear, visual presentations will be crucial in driving our sales strategies forward. If you have a strong foundation in data handling and a desire to make a tangible impact on sales performance, we want to hear from you.
Tanggung Jawab
- Collect, clean, and interpret complex sales datasets to track performance.
- Analyze key performance indicators (KPIs) to identify trends and patterns.
- Generate detailed weekly and monthly reports for management review.
- Collaborate with the sales team to monitor progress against monthly targets.
- Assist in forecasting sales figures based on historical data analysis.
- Ensure data accuracy and integrity within the company's databases.
- Present data-driven insights to support strategic business decisions.
Kualifikasi
- Bachelor’s degree in Business, Statistics, Mathematics, or a related field.
- Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP) and data visualization tools.
- Strong analytical mindset with excellent problem-solving skills.
- Experience with CRM software or sales tracking systems is an advantage.
- Excellent written and verbal communication skills.
- Ability to work independently in a fast-paced environment.
- Attention to detail and a strong commitment to data accuracy.