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DAT Freight & Analytics · 3 months ago

Business Analyst - Carrier Network

Seattle, Washington, United States

Full-time

Hybrid

Entry, Mid Level

$109K/yr - $150K/yr

2+ years exp

DAT Freight & Analytics is a technology company focused on transportation and logistics, providing advanced tools and data intelligence for freight management. They are seeking a Business Analyst - Carrier Network to support analytical insights and data-driven decisions across the Carrier Network team, enhancing carrier supply, engagement, and performance. The role involves creating dashboards, analyzing the carrier matching funnel, and partnering with various teams to optimize operations.

LogisticsTransportation

Responsibilities

Create and maintain comprehensive dashboards and reporting systems to provide visibility into carrier supply, engagement, vetting, operations, onboarding, and carrier performance

Analyze the carrier matching funnel from view to bid to match to provide actionable insights to drive better conversion

Build tracking systems and measurement frameworks to monitor carrier journey effectiveness, identifying opportunities for process optimization and engagement improvement

Own Weekly Business Review (WBR) and Monthly Business Review (MBR) goal tracking, insights generation, and performance reporting across all Carrier Network functions

Support the Carrier Network team with ad-hoc analysis, A/B test design and measurement, and statistical modeling to optimize carrier acquisition, vetting, and retention strategies

Partner closely with the Science team on broader business initiatives, translating analytical findings into actionable recommendations across different parts of the organization

Elevate the quantitative aptitude of the team through training, best practices sharing, and development of analytical tools and templates

Investigate data anomalies, conduct root cause analysis, and provide recommendations to improve data integrity and business performance across carrier operation

Qualification

SQLData visualization toolsStatistical conceptsPython/RBusiness analysisMarketplace dynamicsCommunicationAttention to detailHigh initiativeCross-functional teamwork

Required

2-4 years of experience in business analysis, data analysis, or quantitative roles with demonstrated ability to work independently

Advanced proficiency in SQL to write complex queries, optimize performance, and work with large datasets and existing pipeline logic. Proficiency in Python/R is a plus

Experience with data visualization tools (Tableau, Looker, Streamlit, etc) and ability to create clear, actionable dashboards and reports

Solid understanding of statistical concepts, A/B testing methodologies, and experimental design

Proven track record of translating business questions into analytical frameworks and delivering insights that drive decision-making

Experience working with existing data infrastructure and ability to modify SQL logic within established systems

Strong attention to detail with unwavering commitment to data accuracy and correctness

Excellent communication skills with ability to present complex analytical findings to diverse audiences

High initiative and self-direction with ability to proactively identify opportunities for analysis and improvement

Experience working in fast-paced, data-driven environments with cross-functional teams