Senior Analytics Engineer (Remote - Brazil)

Loadsmart Inc.

Job Overview

Location

Indiana, USA

Job Type

Full-time

Full Job Description

📋 Description

• Join Loadsmart, a rapidly growing, billion-dollar logistics technology company, as a Senior Analytics Engineer and play a pivotal role in shaping the future of freight.
• We are a dynamic and innovative team, comprised of industry veterans and user-centered engineers, dedicated to revolutionizing the freight industry through cutting-edge technology.
• As a Senior Analytics Engineer, you will be instrumental in conceptualizing, designing, and implementing robust Analytics and Business Intelligence solutions, directly contributing to our data and metrics platform.
• This role offers a unique opportunity to collaborate closely with various Data teams, including Data Engineering, Product teams, and Data Science teams, acting as a central point of contact for all data development needs.
• You will be the go-to expert for internal analytics, providing critical insights and guidance to empower data-driven decision-making across the organization.
• Your responsibilities will extend to advising and assisting Product and Data Science teams in the development of sophisticated data products, ensuring alignment with business objectives and technical best practices.
• This position is fully remote, allowing you to work from anywhere within Brazil, offering flexibility and work-life balance.
• You will be an integral part of our Engineering team, contributing to the technical excellence and innovation that drives Loadsmart's success.
• The ideal candidate will possess a deep understanding of data modeling, ETL processes, and business intelligence tools, coupled with a passion for solving complex data challenges.
• You will be responsible for translating business requirements into technical specifications, designing scalable and efficient data models, and developing comprehensive BI dashboards and reports.
• Proactively identify opportunities to improve data quality, performance, and accessibility, ensuring our data infrastructure is reliable and optimized.
• Collaborate with stakeholders across different departments to understand their data needs and deliver tailored solutions that drive tangible business value.
• Mentor and guide junior members of the data team, fostering a culture of continuous learning and knowledge sharing.
• Stay abreast of the latest trends and technologies in data engineering, analytics, and business intelligence, and advocate for their adoption where appropriate.
• Contribute to the development and maintenance of our data governance policies and procedures, ensuring data integrity and compliance.
• Develop and maintain documentation for data models, ETL processes, and BI solutions, ensuring clarity and maintainability.
• Troubleshoot and resolve data-related issues, ensuring the accuracy and timeliness of data for reporting and analysis.
• Design and implement data pipelines to ingest, transform, and load data from various sources into our data warehouse.
• Optimize SQL queries and data models for performance and scalability.
• Build and maintain dashboards and reports using BI tools to visualize key metrics and trends for business stakeholders.
• Partner with Data Scientists to provide clean, well-structured data for machine learning models and advanced analytics.
• Champion data literacy across the organization, empowering teams to leverage data effectively.
• Contribute to the strategic roadmap for data analytics and business intelligence at Loadsmart.
• This role requires a proactive, self-motivated individual with excellent problem-solving skills and a strong ability to communicate complex technical concepts to non-technical audiences.
• You will be a key player in ensuring that Loadsmart continues to leverage data as a strategic asset, driving efficiency, innovation, and growth in the logistics technology space.
• Embrace our core values of curiosity, clarity, results, commitment, and teamwork in all aspects of your work.
• Help us fearlessly reinvent the future of freight by providing the data insights needed to move more with less.
• This is an exciting opportunity to make a significant impact in a fast-paced, high-growth environment.

🎯 Requirements

• Proven experience as an Analytics Engineer, Data Engineer, or similar role, with a strong focus on data modeling, ETL development, and business intelligence.
• Proficiency in SQL for complex querying, data manipulation, and performance optimization.
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with BI tools such as Tableau, Looker, Power BI, or similar.
• Experience with Python for data analysis and scripting.
• Strong understanding of data modeling techniques (e.g., Kimball, Inmon) and best practices.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

🏖️ Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Remote work flexibility, allowing you to work from anywhere in Brazil.
• Opportunities for professional development and career growth.
• Collaborative and inclusive work environment.
• Be part of a fast-growing, innovative tech company with a significant impact on the logistics industry.

Skills & Technologies

Senior

Remote

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Loadsmart Inc.

Visit Website

About Loadsmart Inc.

Loadsmart Inc. provides digital freight brokerage and capacity-matching technology for shippers and carriers in North America. The cloud platform automates pricing, booking, and shipment execution for dry van, refrigerated, flatbed, and drayage freight. Integrations with TMS and ELD systems enable instant quotes, real-time tracking, and predictive analytics to optimize routes, reduce empty miles, and improve service levels. Founded in 2014, the company leverages AI and machine-learning models to balance supply and demand across its network of carriers and shippers.

View Company Profile