Data Analyst

Job Title: Data Analyst / Data ScientistRole

OverviewAs a Data Analyst / Data Scientist, you’ll play a key role in analyzing, modeling, and visualizing shipping and carrier performance data. You’ll leverage SQL, Python, and BI tools such as Domo to extract insights from eHub’s Redshift data warehouse and help develop AI-driven tools that enhance rate shopping, transit prediction, and operational benchmarking.

Key Responsibilities

• Design, build, and maintain analytical datasets, dashboards, and KPIs within Domo to drive insights for internal teams and external clients.
• Write and optimize SQL queries in Amazon Redshift to extract, transform, and aggregate parcel-level and carrier data.
• Develop Python-based models and scripts for predictive analytics, classification, and anomaly detection (e.g., delivery time predictions, cost benchmarking).
• Integrate AI and machine learning tooling (e.g., CatBoost, scikit-learn, or large-language-model APIs) into production analytics workflows.
• Partner cross-functionally with Product, Sales, and Operations to turn data into actionable insights that inform product direction and carrier negotiations.
• Support ad-hoc data requests, automate recurring analyses, and ensure data quality across pipelines.
• Continuously evaluate model performance and retrain algorithms to maintain accuracy amid seasonal shipping fluctuations.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field or 2–5 years of experience in an analytics or data science role.
• Strong proficiency in SQL and Python (pandas, NumPy, scikit-learn).
• Experience working with Amazon Redshift or equivalent cloud-based data warehouse.
• Proven experience building dashboards in Domo or similar BI platforms (Power BI, Tableau, Looker).
• Solid understanding of data modeling, ETL, and version control (Git).
• Strong communication skills — able to translate technical findings into clear business insights.

Preferred Qualifications

• Experience in logistics, eCommerce, or shipping analytics.
• Familiarity with predictive modeling, confidence scoring, or time-in-transit analysis.
• Exposure to LLMs and AI toolchains (OpenAI API, Hugging Face, etc.) for data automation and reporting.
• Working knowledge of Domo Bricks, Python scripting in Domo, or API integrations.

What You’ll Get

• Opportunity to work on cutting-edge analytics and AI initiatives in the shipping tech space.
• Exposure to large-scale, high-velocity datasets with direct business impact.
• Collaborative team culture focused on innovation, learning, and performance.
• Competitive salary, flexible schedule, and room for rapid growth within eHub’s data organization.

Job Types: Full-time, Permanent

Pay: $65,000.00 - $75,000.00 per year

Benefits:

• 401(k) matching
• Dental insurance
• Food provided
• Health insurance
• Paid holidays
• Paid time off
• Parental leave
• Professional development assistance
• Vision insurance

Work Location: In person