Celeste

Data Analyst

Celeste

full-time

Posted on:

Location Type: Remote

Location: Philippines

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Salary

💰 ₱475 - ₱500 per hour

Tech Stack

About the role

  • Transform raw customer data and ensure successful ingestion into the platform.
  • Work with the Delivery Manager to meet onboarding milestones and deliver a “right-first-time” approach.
  • Follow data policies, use available automation tools, and minimize manual file handling.
  • Run data accuracy and quality checks after ingestion.
  • Identify risks, inconsistencies, or platform issues early and contribute to problem-solving.
  • Ensure ongoing completeness and accuracy of customer data (invoices, rate cards, contracts, configurations, etc.).
  • Update configurations reflecting changes in customers’ logistics networks.
  • Support Customer Success & Sales with insights that feed into QBRs and upsell opportunities.
  • Improve automation and reduce manual data handling wherever possible.
  • Liaise with customers and their LSPs to raise invoice disputes and follow them through to resolution.
  • Provide clear, professional communication using correct logistics & supply chain terminology.
  • Track dispute progress and ensure accurate visibility of customer-facing tasks.
  • Analyze complex data sets to support customer simulations, proofs of concept, and business cases.
  • Provide regular internal and customer-facing updates on assigned tasks.
  • Maintain accurate task statuses, logs, and trackers for project visibility.
  • Support pre-sales with data-driven insights to build business cases (customers avg. $200K ARR).
  • Drive customer ROI through data acquisition, analysis, and accurate transformations.
  • Become a technical expert in onboarding workflows and contribute insights to Product & Engineering.
  • Take on ad hoc projects as needed.

Requirements

  • Legally eligible to work in the Philippines as an Independent Contractor.
  • Fluent in written and verbal English (professional communication required).
  • Must have your own laptop/computer and secure, high-speed internet.
  • 2+ years in a Data Analyst, Data Transformation, or similar role.
  • Bachelor’s degree in Mathematics, Computer Science, Statistics , or a related field.
  • Strong experience in advanced data manipulation, cleansing, governance, and ETL.
  • Strong Excel skills (SQL + Python a plus).
  • Comfortable using LLMs/AI to support workflows, with prompt-writing experience.
  • Highly organized, proactive, and able to manage multiple priorities independently.
  • Bonus: Experience in logistics, supply chain, or working in a tech startup.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data transformationdata manipulationdata cleansingdata governanceETLExcelSQLPythondata analysisdata accuracy checks
Soft skills
professional communicationorganizational skillsproactiveproblem-solvingability to manage multiple prioritiescustomer liaisoninsight generationattention to detailadaptabilityteam collaboration