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Logistics Data Analyst

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Job Description

Job Description

About Ad Populum: Ad Populum aligns corporate strategy and fosters growth across its unique, robust roster of subsidiary companies. With a diverse portfolio of legendary brands including NECA, Chia Pet., Rubies Costumes, Enesco, Kidrobot, WizKids, ExKaliber, Graceland, and Radical Share, Ad Populum is a leader in pop culture collectibles, iconic American products, Halloween costumes, gifts, home dcor, tabletop gaming, Amazon brands, and digital marketing. Our subsidiaries are renowned for their innovation, quality, and cultural significance, making Ad Populum a dynamic force in the entertainment, consumer products, and digital marketing industries.

NECA, LLC. is known as National Entertainment Collectibles Association, one of the leading manufacturers for licensed merchandise. Since the inception of its toy division in 2002, NECA became synonymous with the horror genre, releasing some of the most sought-after collectibles for slasher icons such as Michael Myers, Jason Voorhees, and Freddy Krueger, while shining a light on niche characters like Sam from Trick-r-Treat. In the years since, NECA has also become a staple collectible manufacturer for the Alien & Predator franchises, and more recently, the Teenage Mutant Ninja Turtles!

Working with the most talented artists that have a passion for film, TV, music, and video games, NECA strives to provide highly detailed and innovative collectibles at an affordable price. With over two decades of experience in the toy industry and a wide selection of licensed merchandise, NECA presents something for every interest. In possession of 50+ licenses, NECA has produced thousands of products, offering retailers and distributors worldwide a variety of beloved pop culture characters in the form of 7" scale action figures, prop replicas, and everything in-between.

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Job Summary:

The Logistics Data Analyst is responsible for analyzing logistics data to identify trends, improve processes, promote automation and support decision-making. This role involves collaborating with various teams to enhance logistics efficiency and drive performance through data-driven insights.


Key Responsibilities:

  • Data Collection and Analysis: Collect, clean, and analyze logistics data from various sources to identify patterns, trends, and areas for improvement.
  • Reporting: Create and maintain dashboards, reports, and presentations to communicate findings to stakeholders in an understandable manner. Consolidate cost and rates in a historical database.
  • Process Improvement: Collaborate with logistics teams to develop and implement strategies for enhancing efficiency and effectiveness based on data insights.
  • Metrics Development: Define key performance indicators (KPIs) and metrics to measure logistics performance and success.
  • Stakeholder Collaboration: Work closely with cross-functional teams including logistics, finance, and IT to support data-driven decision-making processes.
  • Forecasting: Utilize statistical and analytical techniques to forecast logistics trends and inform strategic planning. In particular, calculate and budget the number of containers needed based on units
  • Database Management: Maintain and optimize databases and data systems to ensure high-quality data availability and integrity.
  • Ad-hoc Analysis: Perform ad-hoc analysis to support various projects and initiatives as needed.
  • Training: Train and learn new reporting tools to enhance operational efficiency.

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, MS Query), data visualization software (e.g., Crystal Reports, Tableau, Power BI), and statistical analysis. Strong knowledge of database queries and pivot tables.
  • Analytical Skills: Strong analytical and problem-solving skills with attention to detail.
  • Communication: Excellent verbal and written communication skills, capable of presenting complex information clearly to non-technical stakeholders.
  • 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.

Preferred Qualifications:

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

Working Conditions:

Full-time and On-site position.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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