LOOKING FOR FILIPINO CITIZENS BASED IN THE PHILIPPINES

Position : Financial Analyst

Working Hours : Monday - Friday | 7:00am-3:00pm CST or 8:00am-4:00pm CST

(subject to change, could potentially allow working PH hours after a few months but would start with CST working hours)

Salary Range : 1000 - 1500 USD

(depending on interview assessment and client's approval) Please take note that pay will be given in USD

Holiday : US Holidays

About the company: 

The company was founded around disrupting the Property Management industry and providing the residents with an unparalleled experience. They seek to Improve the Lives of all residents and provide them with a place they are proud to call home.

Duties and responsibilities

1. Financial Analysis and Reporting:

• Generate and analyze financial reports to support decision-making processes.
• Work with Excel extensively to manipulate and interpret financial data.
• Provide insights based on financial analysis to contribute to strategic planning.

1. Budget Entry:

• Accurately enter and manage budget data.
• Collaborate with team members to ensure budgetary goals align with overall objectives.

1. Virtual Assistance:

• Provide calendar assistance, ensuring efficient scheduling and coordination of appointments.
• Assist with general administrative tasks as needed.

• Proven of 2 years of experience in Financial Data Analysis
• Proficiency in Google Suite and Microsoft Office is required
• Mastery of Excel is required
• Willingness and capability to share knowledge and teach others, particularly in Excel.
• Familiarity with Appfolio is a plus, but not mandatory.

Data Quality Analysts are primarily responsible for monitoring and addressing data quality in our Acumen Insights data platform. Data Quality Analysts ensure that data is accurate, complete, consistent, and reliable. They monitor the quality of data that organizations use to make decisions.  Analysts are expected to support projects without assistance and work on multiple projects simultaneously.

Key Responsibilities:

• Proactively monitor, measure, analyze, execute, track, and report on data quality issues
• Understand our data warehouse environment and how it relates to our business transactions
• Ensure enterprise standards are applied and adhered to in our data environments
• Identify anomalies in data and data flows
• Resolve issues
• Interact with business users to resolve data quality problems
• Extract, collect, and collate data
• Analyze data using statistical techniques