Imperial Dade is hiring: Senior Data Analyst in Jersey City

Imperial Dade, 255 US Highway 1 and 9, Jersey City, New Jersey, United States of America Job Description Posted Tuesday, December 16, 2025 at 5:00 AM Imperial Dade is the leading independently owned and operated distributor of foodservice packaging and janitorial supplies in North America. As a provider of customized supply chain solutions, we serve customers in many business-to-business market segments, including restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, Imperial Dade serves as a mission-critical partner to more than 120,000 customers through our footprint of 130+ branches. Imperial Dade, a leading North American distributor, has a Senior Data Analyst role available ON-SITE in Jersey City, NJ! Join a strong and continuously evolving group, helping to continue to grow our business. If you’re eager for your next opportunity, Imperial Dade is a great place to take that next step. The Data Analyst within the D&A Data Quality team is tasked with optimizing data from 60+ different ERP systems, utilizing programming and tools to transform raw data into production data. Your work will enable faster data-driven decision-making for the organization Responsibilities Perform exploratory and statistical data analysis to uncover actionable insights Work end-to-end on datasets: acquire, clean, transform and preprocess data Build, test, and maintain Python-based analytics scripts and models Develop and manage simple CI/CD workflows to automate data tasks and reports Use Git for version control and collaboration on data projects (branching, pull requests) Own acquisition data onboarding projects - Validate, cleanse, map & aggregate incoming raw data Collaborate with business teams to translate requirements into data solutions Support the integration of analytics models into the production workflow Qualifications 3 to 5 years of relevant Senior Data Analysis work experience Bachelor’s degree in Data Science, Computer Science, Information Systems or related field of study Experience with Machine Learning & AI projects Comfort with handling, cleaning, and analyzing structured and semi-structured datasets Experience with SQL and working with relational databases Strong proficiency in Python (Pandas, NumPy, Scikit-learn or similar libraries) Basic understanding of CI/CD pipelines for automating workflows and deployments Knowledge of cloud platforms (Azure, AWS, or GCP) Experience working with APIs for data integration andBI tools (Tableau, Power BI, or Looker) Benefits #J-18808-Ljbffr