Data Intake Specialist (BBS880)

Overseas; Philippines; On-site; PHP 2,208,000 - 3,470,000; Full time

Benefits offered by this job

USD payment (bi-monthly)

Paid Time Off

Holidays

100% remote setup

US business hours alignment

Job summary

Overseas is seeking a Data Intake Specialist to clean, match, and structure government HR data for US software clients. You will combine salary tables and job descriptions, resolve mismatches, and ensure consistent formatting across large datasets.

The role emphasizes accuracy and attention to detail in a fully remote setup, with work aligned to US business hours and remote collaboration with teams serving local government HR across the US.

Qualifications

• Experience cleaning and reconciling large government HR datasets.
• Ability to maintain high accuracy in repetitive tasks.
• Proficiency with Excel and Google Sheets.
• Strong documentation and issue-tracking skills.

Responsibilities

• Combine salary data and job descriptions from multiple sources into one accurate, consistent record using Excel and Google Sheets.
• Resolve mismatches in job titles and codes across source files.
• Match job classifications to labor agreements and bargaining units accurately.
• Convert salary figures into annualized values using standardized formulas provided by the team.
• Detect and resolve duplicate records across datasets.
• Apply consistent formatting standards across every record in the dataset.
• Flag issues clearly rather than guessing or making assumptions when something looks wrong.
• Use internal tools to work more efficiently and communicate feedback when a process could work better.
• Conduct light website research to verify or supplement job classification information when needed.
• Document data issues, mismatches, and resolutions clearly for team reference.
• Maintain organized records of completed and in-progress data intake work.

Skills

Attention to detail

Excel proficiency

Google Sheets proficiency

Data matching

Data cleaning

Quality control

Documentation

Research basics

Tools

Excel

Google Sheets

Job description

We're looking for a Data Intake Specialist to clean, match, and structure government HR data before new agency clients go live on a US software platform built for local government HR teams. You will combine salary tables and job descriptions from multiple sources, resolve mismatches in job titles and codes, detect duplicates, apply consistent formatting standards, and match job classifications to their corresponding labor agreements.

Accuracy is the entire job. This is high-stakes, detail-driven data work where a wrong match or missed duplicate has real consequences. Speed matters but only after accuracy is guaranteed. If you have a sharp eye for inconsistencies, are comfortable with repetitive precision work, and know Excel well enough to move through large datasets confidently, this role is a strong fit.

Why You'll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)
• Paid Time Off in accordance with company policy
• Observance of Holidays per company guidelines
• 100% remote setup so you can work wherever you're most productive
• This role requires availability during US business hours
• Work inside a growing software company serving local government HR teams across the US
• High-ownership data role where your accuracy directly determines whether a client goes live successfully

What You'll Work On

Data Matching and Reconciliation

• Combine salary data and job descriptions from multiple sources into one accurate, consistent record using Excel and Google Sheets
• Resolve mismatches in job titles and codes such as matching "Accountant Manager" to "Acct Mgr" across different source files
• Match job classifications to their corresponding labor agreements and bargaining units accurately
• Convert salary figures into annualized values using standardized formulas provided by the team

Data Cleaning and Quality Control

• Detect and resolve duplicate records across datasets
• Apply consistent formatting standards across every record in the dataset
• Flag issues clearly rather than guessing or making assumptions when something looks wrong
• Use internal tools to work more efficiently and communicate feedback when a process could work better

Light Research and Documentation

• Conduct light website research to verify or supplement job classification information when needed
• Document data issues, mismatches, and resolutions clearly for team reference
• Maintain organized records of completed and in-progress data intake work

What You Bring

• Exceptional attention to detail with the ability to catch inconsistencies in large, messy datasets before they become errors in the final record
• Comfortable with repetitive, high-stakes work where accuracy matters more than speed