
Data Analyst
Celeste
full-time
Posted on:
Location Type: Remote
Location: Philippines
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Salary
💰 ₱475 - ₱500 per hour
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