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Bilingual Salesforce Data Quality Assistant - 3 Month Fixed-Term Contract (LTG) Colombia, Remote at LTG

Key Facts

Remote From: 
Fixed term
English

Other Skills

  • •
    Google Sheets
  • •
    Record Keeping
  • •
    Client Confidentiality
  • •
    Detail Oriented
  • •
    Reliability

Roles & Responsibilities

  • Demonstrable attention to detail and a methodical approach to repetitive tasks
  • Working knowledge of Microsoft Excel and/or Google Sheets, including sorting, filtering, basic formulas, and standard data manipulation
  • Ability to follow established processes accurately and consistently over an extended period
  • Strong written communication skills and ability to maintain regular, proactive contact with the project lead in a remote working environment

Requirements:

  • Review large datasets (thousands of rows) within Excel or Google Sheets, examining records on a line-by-line basis
  • Open, review, and interpret supporting PDF documentation (customer records and invoices) and reconcile contents against corresponding system entries
  • Identify and correct discrepancies, missing information, duplicate records, and other data quality issues in line with documented procedures
  • Escalate ambiguous, unusual, or out-of-scope cases to the project lead for review and maintain accurate records of work completed and outstanding items

Job description

Role Overview

We are seeking a detail-oriented, bilingual Salesforce Data Quality Assistant to support a defined 3-month remote project focused on the review and remediation of customer and financial records. The successful candidate will be responsible for systematically reviewing large volumes of data, cross-referencing entries against supporting PDF documentation (including customer records and invoices), and ensuring that information held within our systems is accurate, complete, and consistent.

This is a focused, process-driven position that will suit a candidate who demonstrates a high level of accuracy, discipline, and consistency in repetitive, detail-intensive work. While prior analytical or technical experience is not required, candidates must be reliable, methodical, and able to maintain a high standard of output throughout the duration of the contract.

Key Responsibilities

  • Review large datasets (in the order of several thousand rows) within Excel or Google Sheets, examining records on a line-by-line basis.
  • Open, review, and interpret supporting PDF documentation, including customer records and invoices, and reconcile their contents against corresponding system entries.
  • Identify and correct discrepancies, missing information, duplicate records, and other data quality issues, in line with documented procedures.
  • Escalate ambiguous, unusual, or out-of-scope cases to the project lead for review.
  • Maintain accurate and timely records of work completed, changes made, and outstanding items, to support project tracking and reporting.
  • Deliver consistent quality and productivity throughout the duration of the engagement.

Essential Requirements

  • Demonstrable attention to detail and a methodical approach to repetitive tasks.
  • Working knowledge of Microsoft Excel and/or Google Sheets, including sorting, filtering, basic formulas, and standard data manipulation.
  • Ability to follow established processes accurately and consistently over an extended period.
  • Strong written communication skills and the ability to maintain regular, proactive contact with the project lead in a remote working environment.
  • Awareness of, and commitment to, the confidential handling of customer and financial information.
  • Capacity to work independently and manage personal productivity without direct day-to-day supervision.

Desirable Experience

  • Previous experience in a data entry, data clean-up, audit support, bookkeeping, or administrative role.
  • Familiarity with a customer relationship management (CRM) system, such as Salesforce or HubSpot.
  • Exposure to invoicing, accounts payable / receivable, or other standard financial documentation.

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