WHAT YOU GET TO DO:
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives
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.
REQUIRED QUALIFICATIONS:
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)
Experience with AI coding assistants like Cursor and Claude Code
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 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
Demonstrated expertise as a Data Analyst handling large, complex datasets and translating advanced analyses into actionable business insights will be considered a plus.
Skills Required
- 4 years of experience as an Analytics or Data Engineer
- Fluent in written and spoken English and submit resume in English
- Experience with AI coding assistants like Cursor and Claude Code
- 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 and translate into technical requirements
- 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
- Possessing a growth mindset, curiosity and strong problem-solving skills
- Demonstrated expertise as a Data Analyst handling large, complex datasets (considered a plus)
Loadsmart Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Loadsmart and has not been reviewed or approved by Loadsmart.
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Leave & Time Off Breadth — Unlimited PTO (“Loadie Time Off”) and sick time are described in postings as available without a limit, broadening flexibility for time away. Availability is noted across many U.S. roles, though exact application can vary by position and location.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is consistently cited in job postings, indicating a solid core health offering. This breadth forms a standard tech-style benefits baseline for U.S. employees.
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Equity Value & Accessibility — Stock options are frequently offered and positioned as competitive alongside base pay and other benefits. This ownership component is presented as a meaningful part of total rewards.
Loadsmart Insights
What We Do
We are industry veterans and data-scientists using innovative technology to fearlessly reinvent the future of freight. As the ‘nerds of logistics’, we seek intelligence in data to solve deep-rooted inefficiencies in the industry. We give shippers, brokers and carriers access to our data connections (linking supply and demand) and suite of award-winning solutions to strike the perfect balance of cost and service. We’re creating a more efficient and environmentally responsible way to move more with less. For more information, please visit: https://loadsmart.com
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