Imperial Dade is looking to optimize data from 60+ different ERP systems, utilizing programming and tools to transform raw data into production data to enable faster data-driven decision-making for the organization.
Requirements
- 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)
- Exposure to data pipeline tools (Airflow, Prefect, or similar)
- Experience working with APIs for data integration and BI tools (Tableau, Power BI, or Looker)
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
- Support the integration of analytics models into the production workflow
Other
- 2-4 years of relevant Data Analysis work experience
- ON-SITE in Jersey City, NJ
- Collaborate with business teams to translate requirements into data solutions
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, age, disability (physical or mental), family medical history, or genetic information, political affiliation, military service, or other non-merit-based factors.
- A conditional offer of employment will be contingent upon the successful completion of a background check, consistent with applicable federal, state, and local laws.
