Logistics Data Analyst

We are looking for a skilled Logistics Data Analyst to join our team in Hillside, New Jersey. In this Contract-to-permanent position, you will play a key role in analyzing logistics data, creating actionable insights, and driving process improvements to optimize operations. Ideal candidates are analytical thinkers with expertise in data management tools and a passion for enhancing logistics efficiency.

Responsibilities:
• Collect, clean, and analyze logistics data from multiple sources to uncover trends and areas for improvement.
• Develop and maintain dashboards, reports, and presentations to effectively communicate findings to stakeholders.
• Implement strategies to enhance logistics processes and efficiency based on data-driven insights.
• Define and monitor key performance indicators (KPIs) to measure operational success.
• Collaborate with teams across logistics, finance, and IT to support informed decision-making.
• Utilize forecasting techniques to predict logistics trends and support strategic planning, including container budgeting based on units.
• Manage and optimize databases to ensure data integrity and accessibility.
• Perform ad-hoc analyses to address specific projects and initiatives.
• Consolidate historical cost and rate information into an organized database for reference.

Qualifications:

• Education: Bachelor’s degree in Business Administration, Data Science, or a related field.
• Experience: 2 years of experience in data analysis, preferably within a logistics or business context; it can be partially substituted with relevant Logistics experience related to manufacturing, retail, inventory, and wholesale.
• Technical Skills: Proficiency in data analysis tools (e.g., SQL, Excel, Power Query), programming languages (Python, Excel VBA, etc), data visualization software (e.g., Crystal Reports, Tableau, Power BI), strong knowledge of database queries, pivot tables, and advanced Excel functions.
• Analytical Skills: Strong analytical and problem-solving skills with attention to detail.
• Communication: Excellent verbal and written communication skills, capable of understanding instructions, ask relevant questions, conceptualizing different situations, and presenting complex information accurately and clearly.
• Personal profile: Strong work ethic, self-starter, ability to work independently. High level of organization and attention to detail. Ability to work collaboratively in a team environment.
• Strong work ethics and Teamwork attitude.

Preferred Qualifications:

• Knowledge of ERP systems and data warehousing concepts.
• Familiarity with programming languages used in data analysis.

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