Data Analyst & Automation Specialist | 60694966018
Quick Summary
Design, build, and maintain enterprise-level Tableau dashboards that translate complex logistics, lane, and financial data into clear, actionable business insights. Data Pipeline Automation: Write,
Position:Data Analyst & Automation Specialist
Location: Remote: Philippines, India, Pakistan
Work Schedule: 8am-5pm EST
Salary: Market Related
We are a technology-driven, third-party logistics (3PL) and freight brokerage firm dedicated to delivering world-class shipping solutions. By combining deep industry expertise with cutting-edge technology, we streamline supply chains, optimize freight capacity, and provide absolute transparency to our shipping and carrier partners. As we continue to scale, we are looking for a tech-savvy Data Analyst & Automation Specialist to modernize our internal reporting frameworks and build high-impact automation pipelines.
This is a highly impactful, hybrid position designed for a technical professional who sits at the intersection of data analytics, business intelligence, and process automation. You will not just be building static reports; you will actively write Python scripts, build robust data pipelines, and deploy AI-driven workflows to transform how our logistics business operates.
A primary focus of this role will be optimization—specifically leading the end-to-end automation of our high-volume invoice processing function and building dynamic business dashboards to drive real-time operational decisions.
Responsibilities
~1 min read- →Business Intelligence & Dashboards: Design, build, and maintain enterprise-level Tableau dashboards that translate complex logistics, lane, and financial data into clear, actionable business insights.
- →Data Pipeline Automation: Write, deploy, and maintain clean Python scripts to automate daily operational reporting, API integrations, and data extraction pipelines.
- →Financial Process Automation: Take ownership of automating our billing and invoice processing function from end to end, leveraging optical character recognition (OCR), AI tools, or script-based workflows to eliminate manual data entry errors.
- →Advanced Data Analysis: Perform deep-dive data manipulation and analysis using advanced Excel (VLOOKUPs, Pivot Tables, Power Query) and SQL database queries to support executive decision-making.
- →AI & Workflow Optimization: Proactively audit manual, repetitive workflows across our brokerage operations and design practical, AI-powered automation solutions to maximize team efficiency.
- 3+ Years of Direct Experience: Proven track record working strictly within business intelligence, data engineering, or automated analytics environments.
- Tableau Mastery (Essential): Advanced proficiency in Tableau Desktop and Server. You must have direct experience building complex, user-friendly data visualizations from scratch.
- Strong Python Capabilities: Solid background in Python scripting, with an emphasis on automation libraries (e.g., Pandas, NumPy, Requests, Selenium, or OpenPyXL).
- Advanced Excel & Analytical Rigor: Expert-level knowledge of Excel for rapid data modeling, ad-hoc calculations, and auditing automated outputs.
- AI Integration Literacy: A practical understanding of modern AI tools, LLM APIs, or intelligent document processing (IDP) software and how to apply them to back-office workflows.
- Problem-Solving Mindset: A proactive professional who naturally hunts down operational inefficiencies and enjoys building scalable, programmatic solutions.
What We Offer
~1 min readIn this role, your code and your dashboards directly influence our bottom line. You will have the creative freedom to select tools, design workflows, and dismantle outdated legacy processes within a fast-paced, forward-thinking logistics environment. We offer competitive compensation, a highly collaborative remote/hybrid structure, and the opportunity to scale your technical skillset alongside a growing company.
Location & Eligibility
Listing Details
- First seen
- May 29, 2026
- Last seen
- May 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- May 29, 2026
Signal breakdown
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