Revenue Data Entry Specialist

Job Title: Revenue Data Entry Specialist

Experience: 3-5 Years

Employment Type: Full-time

Timings: 5PM - 2AM PKT

Prime System Solutions is currently seeking a Revenue Data Entry Specialist on behalf of one of our valued clients. This role is best suited for a highly detail-oriented professional with strong Excel skills and experience handling financial or revenue-related datasets. The selected candidate will support recurring revenue tracking and consolidated billing processes by ensuring data accuracy, completeness, and proper documentation. This position plays a critical operational role in maintaining the integrity of revenue reporting files and supporting internal compliance standards.

Key Responsibilities

• Perform data entry into designated Excel workbooks used for revenue tracking, following established templates and detailed instructions
• Maintain the integrity of revenue tracking files by:
• Entering data into the correct tabs and fields
• Preserving formulas, links, and structured references
• Applying required formatting and standardized naming conventions
• Collect utility consolidated billing artifacts on a recurring cadence, including (as applicable):
• Payment reports
• Credit reports
• Supporting source reports required for tie-outs and compliance documentation
• Store and organize reports in centralized repositories (e.g., SharePoint/OneDrive) in accordance with defined folder structures, naming standards, and retention expectations
• Support revenue "tie-out readiness" by ensuring:
• Source reports are complete and saved in correct locations
• Data from source reports is accurately entered into tracking workbooks
• Required reference files are linked or accessible for internal review
• Conduct structured, non-analytical discrepancy checks by:
• Comparing original utility/payment/credit reports with recorded entries in internal systems or workbooks
• Identifying and documenting mismatches, missing values, formatting errors, or translation issues
• Flagging issues with clear supporting evidence (e.g., row references, report page numbers, timestamps, screenshots where applicable)
• Execute defined data validation steps supporting utility consolidated billing processes, including:
• Completeness checks (all required fields populated)
• Formatting checks (dates, IDs, currency values)
• Cross-file checks per written instructions (e.g., totals matching expected report values)
• Maintain trackers for report receipt, processing status, exceptions, and completion timelines
• Communicate progress updates, escalate blockers (late/missing reports, download issues, corrupted files, unclear templates), and report recurring error patterns promptly
  
  

Requirements

• Proven experience in high-volume data entry, preferably involving financial, billing, or revenue-related datasets
• Strong attention to detail with a consistent focus on accuracy, completeness, and data integrity
• Highly organized with the ability to manage recurring intake cycles, file storage conventions, and multiple parallel workstreams
• Advanced proficiency in Microsoft Excel, including:
• Sorting, filtering, tables, and basic formulas (SUM, IF, XLOOKUP/VLOOKUP)
• Text-to-columns, formatting, and structured data transformations
• Working within standardized workbook templates without disrupting formulas or references
• Comfortable using Microsoft 365 tools (Excel, Outlook, Teams, SharePoint/OneDrive) with disciplined file and version management practices
• Ability to follow detailed written SOPs and validation checklists with minimal deviation
• Strong documentation habits, including maintaining clear notes, trackers, and audit-friendly logs of received and processed data
• Ability to compare source documents with system outputs to identify discrepancies and isolate likely causes (without performing financial analysis)
• Sound judgment on when to escalate exceptions (missing reports, mismatched totals, formatting issues, incomplete datasets)
• Professional handling of sensitive revenue and customer-related information with a basic understanding of data confidentiality standards
• Reliable and consistent performance in deadline-driven, recurring monthly or weekly reporting cycles