The posting
Position Title: Data Solutions Analyst
Office Location (US/BD/ES/PH): PH
Work Location (Remote/Office): Hybrid
Position Summary:
The Data Solutions Analyst is responsible for reviewing, analyzing and validating high-quality English-language content to support global clients. The Analyst conducts comprehensive online research, reviews news and publicly available sources, verifies demographic and entity-related information, and performs due diligence tasks to ensure reliable and compliant data delivery.
Key Responsibilities:
Content Review and Processing
- Read, review and summarize English-language content to extract relevant insights
- Convert unstructured information into clear, structured outputs.
News & Article Analysis
- Analyze news articles and other publicly available sources.
- Aggregate and organize relevant information into standardized data formats.
Data Verification & Demographic Matching
- Cross-check and validate demographic and entity-related information from multiple sources.
- Identify potential matches while ensuring high levels of data accuracy.
Online Research & Due Diligence
- Conduct comprehensive web-based research to verify data points.
- Perform background checks and information validation tasks as required.
Data Quality & Compliance
- Maintain strict attention to detail to ensure data integrity and quality standards.
- Adhere to defined guidelines and processes to deliver accurate and reliable outputs.
Qualifications and Requirements:
- Bachelors Degree in Business, Communications, English, Journalism, or any related field
- 1-2 years of experience in data, research and content analysis, due diligence, data processing or similar analytical roles. Fresh graduates are also welcome to apply.
- Strong reading comprehension and written communication skills with the ability to understand and summarize English language articles effectively
- Basic computer proficiency and must be comfortable using web-based tools, search engines, and standard office applications (e.g., MS Office and Google Workspace)
- High attention to detail with a strong focus on data accuracy and quality
- Ability to compare and validate information across multiple sources



