
Data Intake Specialist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Philippines.
β’ Clean, organize, and structure government HR data prior to agency clients launching on a US software platform.
β’ Integrate salary tables and job descriptions from various sources.
β’ Address discrepancies in job titles and codes.
β’ Identify and eliminate duplicate records.
β’ Implement uniform formatting standards.
β’ Align job classifications with relevant labor agreements and bargaining units.
β’ Transform salary figures into annualized amounts using standardized calculations.
β’ Clearly highlight data issues without making assumptions.
β’ Utilize internal tools to enhance efficiency and provide process feedback.
β’ Perform light web research to verify or augment job classification data.
β’ Record data discrepancies, mismatches, and their resolutions.
β’ Keep organized documentation of completed and ongoing data intake tasks.
β’ Outstanding attention to detail with the capability to identify inconsistencies in large, complex datasets.
β’ Comfortable with repetitive, high-stakes tasks where precision is prioritized over speed.
β’ Proficient in Excel, including VLOOKUP and conditional formatting skills.
β’ Eagerness to learn XLOOKUP and other advanced Excel functionalities.
β’ Fluent in written English.
β’ Ability to communicate data issues effectively.
β’ Capable of conducting light web research.
β’ Organized and methodical in approach to structured data tasks.
β’ Comfortable raising problems early rather than making assumptions.
β’ Updated resume is required.
β’ A brief 1β2 minute Loom video submission is required.
β’ Preferred: experience with HR data, payroll data, or government classification systems.
β’ Preferred: familiarity with Google Sheets.
β’ Preferred: background in data entry, data reconciliation, or data quality positions.
β’ Preferred: experience with labor agreements, bargaining unit classifications, or public sector workforce data.
β’ Preferred: experience in public sector, government, or municipal HR.
β’ Paid in USD bi-monthly (on the 15th and 30th).
β’ Paid Time Off in accordance with company policy.
β’ Observance of holidays as per company guidelines.
β’ Fully remote work environment.
β’ Availability during US business hours.
β’ High-ownership data role that directly impacts client go-live success.
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