Analytics Engineer

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Loadsmart

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📦 Logistics

🚗 Transport

☁️ SaaS

💰 $200M Series D on 2022-02

Logistics • Transport • SaaS

Loadsmart is a company that specializes in providing advanced freight and logistics solutions. They offer a range of services including managed transportation, freight planning, and execution, as well as multimodal shipping capabilities such as FTL, LTL, PTL, and drayage. Loadsmart leverages technology and artificial intelligence through tools like ShipperGuide TMS and FreightIntel AI to optimize freight operations, reduce costs, and enhance efficiency. Their solutions include a robust Transportation Management System, dock scheduling software, and visibility tools for yards and assets. Loadsmart also offers digital brokerage services and tools to optimize carrier networks and fleet operations. They are committed to transforming logistics through innovative technology and real-time data insights.

📋 Description

• Partner with different Data teams and Data Engineering to conceptualize, design/model, and implement Analytics and Business Intelligence solutions for the data/metrics platform • Serve as the go-to person for data development for internal analytics • Interface with Product and Data Science teams to assist and advise them in building data products • Leverage AI-assisted tooling to optimize data pipelines and code generation • Develop AI-ready datasets supporting machine learning and GenAI initiatives • Build data warehousing systems, reporting, and analytics • Understand business needs that can be solved using data • Translate business needs into technical requirements and specifications • Develop and maintain data models and datasets • Develop and maintain data integrations for customers

🎯 Requirements

• 4 years of experience as an Analytics or Data Engineer • Fluency in written and spoken English; resume must be submitted in English • Experience with AI coding assistants such as Cursor and Claude Code • Experience building OLAP systems and creating and maintaining dimensional models • Backend data engineering experience using SQL and/or Python • Python for data manipulation, mostly Pandas • Proven experience with data warehouses and associated tooling • Hands-on experience with relational databases and advanced SQL queries • Experience with data modeling and ETL tools • Ability to translate business needs into technical requirements and specifications • Experience collaborating with analysts, data scientists, engineers, product managers, and stakeholders • Deep understanding of dimensional modeling, data management, data privacy, and governance • Self-starter, innovative, result-focused, and team-oriented • Growth mindset, curiosity, and strong problem-solving skills • Demonstrated Data Analyst expertise with large, complex datasets and translating advanced analyses into actionable business insights is a plus

🏖️ Benefits

• Competitive base salaries • Extremely competitive Equity package • Loadie Time Off - PTO and sick days without a limit