Revenue Data Entry Specialist

Job Title: Revenue Data Entry Specialist
Experience: 3–5 Years
Employment Type: Full-time
Working Hours: 5 PM – 2 AM PKT

We are seeking a meticulous and organized Revenue Data Entry Specialist to support our revenue tracking and utility consolidated billing processes. This role involves accurately entering data into standardized Excel workbooks, gathering and organizing supporting reports, maintaining precise records, and conducting structured data validation checks. The ideal candidate will be comfortable managing recurring reporting cycles, adhering to established standard operating procedures (SOPs), ensuring file integrity, and promptly escalating any discrepancies.

Key Responsibilities
- Enter revenue-related data into designated Excel workbooks using established templates and instructions, ensuring formulas, links, formatting, and naming conventions remain intact.
- Collect utility consolidated billing documents, including payment reports, credit reports, and other supporting materials necessary for tie-outs and compliance.
- Organize and store reports in centralized repositories such as SharePoint and OneDrive, following defined folder structures, naming standards, and retention policies.
- Verify that source reports are complete, stored correctly, and accessible to internal reviewers.
- Compare original utility, payment, and credit reports against internal systems and workbooks to identify missing values, discrepancies, and formatting errors.
- Perform data validation checks covering field completeness, date and currency formatting, identifier accuracy, and cross-file consistency according to written instructions.
- Document discrepancies clearly with supporting evidence such as screenshots, row references, report page numbers, and timestamps.
- Maintain trackers for report receipt, processing status, exceptions, and completion dates.
- Follow established SOPs, validation checklists, and documentation requirements to ensure consistent and accurate data processing.
- Provide progress updates and promptly escalate issues such as missing or delayed reports, portal download problems, corrupted files, incomplete datasets, or unclear templates.
- Handle sensitive revenue and customer-related information with professionalism and maintain strict data confidentiality.

Required Qualifications
- Proven experience in high-volume data entry, preferably with financial, billing, revenue-related, or similar datasets.
- Exceptional attention to detail, with a strong focus on data accuracy, completeness, and consistency.
- Proficiency in Microsoft Excel, including sorting, filtering, tables, and basic formulas such as SUM, IF, XLOOKUP/VLOOKUP, text-to-columns, formatting, and data standardization.
- Experience with structured data transformations, including column mapping, de-duplication, and format standardization.
- Ability to work with standardized workbook templates while preserving formulas, links, and references.
- Familiarity with Microsoft 365 applications, including Excel, Outlook, Teams, SharePoint, and OneDrive.
- Strong organizational skills with the ability to manage recurring reporting cycles and multiple workstreams simultaneously.
- Ability to follow detailed written SOPs and validation checklists with minimal deviation.
- Strong documentation skills, including maintaining trackers, processing notes, and audit-friendly records.
- Capability to compare source documents with system outputs, identify discrepancies, and document findings without performing financial analysis.
- Sound judgment in identifying exceptions and escalating issues appropriately.
- Basic understanding of data confidentiality and professional handling of sensitive information.
- Reliable, consistent, and deadline-oriented, with the ability to meet recurring weekly and monthly reporting requirements.

There are no preferred qualifications or benefits explicitly mentioned for this position.

This role offers an excellent opportunity for candidates who thrive in structured environments and are committed to maintaining high standards of data integrity and confidentiality.