Senior Analytics Engineer

November 4

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Loadsmart

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Transport • SaaS • Artificial Intelligence

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.

501 - 1000 employees

🚗 Transport

☁️ SaaS

🤖 Artificial Intelligence

💰 $200M Series D on 2022-02

📋 Description

• Build Data Warehousing systems, reporting and analytics • Understand business needs that can be solved by using data • Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development • Develop and maintain data models and data sets • Develop and maintain data integrations for customers.

🎯 Requirements

• 4 years of experience as an Analytics or Data Engineer • You’re fluent in written and spoken English (please also submit your resume in English.) • Building OLAP systems and creating and maintaining dimensional models • Working with backend data engineering solutions 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 performing advanced SQL queries. • Experience working on data modeling and ETL tools • Ability to understand business needs, partnering with Business Analysts and Data Analysts, to transform into technical requirements and specifications to support data engineering and analytics engineering development • Collaborating with analysts, data scientists, engineers, product managers, and stakeholders to evolve our data platform and products • Having a deep understanding of dimensional modeling, data management, data privacy and governance • A self-starter, innovative, result-focused and team-oriented • Possessing a growth mindset, sense of curiosity and strong problem-solving skills; you are constantly learning about emerging market trends to identify potential opportunities and gaps.

🏖️ Benefits

• Competitive base salaries - we believe in rewarding top talent • Extremely competitive Equity package - become a shareholder in our company! • Loadie Time Off - PTO and sick days without a limit