Role Overview

Senior Data Analyst (100% remote)

Contract to Hire role focused on turning large, complex datasets into actionable insights that support business decisions.

Key Responsibilities

Analyze large, complex datasets to identify trends, patterns, and insights for business decisions
Lead data projects from concept through delivery, ensuring alignment with business goals
Translate business questions into analytical approaches and deliver clear, actionable insights
Partner with cross-functional teams to understand data needs and deliver solutions
Present findings and recommendations to senior stakeholders and leadership
Apply statistical analysis and machine learning techniques to solve complex problems
Develop and maintain data models for forecasting and scenario planning
Ensure data quality and integrity via audits, validation, and governance best practices
Collaborate with data engineering/IT to improve data pipelines and infrastructure
Drive automation to improve reporting efficiency and reduce manual work
Establish best practices for data analysis and visualization
Mentor junior analysts and provide guidance across the team

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (Master’s preferred)
5+ years in data analytics, business intelligence, or related field
Advanced proficiency in SQL, data modeling, and ETL processes
Strong data visualization skills (e.g., Power BI, Qlik)
Proficiency in Python or R for statistical analysis, modeling, and automation
Experience with AWS (S3, Athena, Redshift) or other cloud platforms
Experience working with large datasets and complex data environments
Strong problem-solving skills and attention to detail
Excellent communication skills for both technical and non-technical audiences

Familiarity with APIs, webhooks, data streaming, and modern data architectures
Experience in transportation, logistics, or similar industries
Demonstrated leadership (project ownership, mentoring, influencing teams)