Data Analyst - LLM & Data Workflows
@ SPX Express

Manila, National Capital Region, Philippines
$110,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @spxexpress.com
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Job Details

Overview

The Data Analyst - LLM & Data Workflows role at SPX Express is responsible for developing, maintaining, and optimizing data workflows sourced from existing, often poorly documented data marts.

Key Responsibilities

  • Integrate in-house and off the shelf large language models (LLMs) to process and analyze data.
  • Design and implement end-to-end data workflows ensuring accuracy, timeliness, and scalability.
  • Transform raw data into actionable business insights through reports, visualizations, and dashboards.
  • Collaborate with stakeholders to translate business requirements into technical specifications.
  • Identify opportunities for leveraging LLM and advanced analytics to solve business issues.
  • Conduct quality assurance checks to maintain data integrity and accuracy.

Requirements

  • Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related field.
  • Certification in Data Analytics, Machine Learning or similar is a plus.
  • At least 2 years of experience in data analysis, pipeline development, or related roles.
  • Experience with large language models (LLMs) or AI technologies.
  • Strong proficiency in SQL, Python, and data workflow automation tools.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Excellent analytical, problem-solving, and communication skills.

Key Skills/Competency

  • Data Workflows
  • LLMs
  • SQL
  • Python
  • Data Visualization
  • Data Analysis
  • Dashboarding
  • Business Intelligence
  • Analytics
  • Quality Assurance
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How to Get Hired at SPX Express

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight LLM and data workflows expertise.
  • Research SPX Express: Understand their mission and recent projects.
  • Highlight relevant skills: Emphasize SQL, Python, and data visualization tools.
  • Prepare for technical questions: Review data integration and pipeline challenges.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python basics.
Practice data pipeline automation.
Familiarize with LLM integration methods.
Study data visualization tools like Tableau.

Behavioral Questions

Describe collaboration with stakeholders.
Explain problem-solving using data.
Share a time you managed priorities.
Discuss handling tight deadlines.

Frequently Asked Questions