Niagara Bottling is a leading beverage manufacturer in the U.S., supplying some of the largest brands and stores throughout the country. Niagara began as a family business in 1963, offering Niagara® water in five-gallon containers for home and office delivery.

In the early 1990s, we expanded into single-serve private label bottled water for grocery, club, convenience and wholesale customers. Today, we are committed to producing a variety of high-quality beverages, including bottled water, sparkling water, teas, sports drinks, non-dairy milk products and more, while reducing our impact on the environment.
We remain a family business, providing our customers with an unbeatable combination of quality, price and service.

The Data Analyst II is responsible for supporting Niagara Bottling plants through cleaning, manipulating, and conducting research on all manufacturing data, and applying this data to sophisticated analytics programs to drive decisions and support. Through leveraging key partnerships, and developing a deep understanding of the business this role is responsible for delivering solutions to various business problems and drive process optimization across all domestic and international manufacturing plants.

Essential Functions

Data Analysis:

• Design, develop, and maintain daily, weekly, and monthly manufacturing performance reports that provide information used in the decision-making process of various initiatives/projects.
• Provide analysis on manufacturing plant performance, labor studies, and process optimization studies to Niagara’s leadership teams.
• Develop data models to aid in better understanding the impact of manufacturing activities to Key Performance Indicators of the manufacturing sites.
• Develop necessary manufacturing reporting and analyses for Plant sites and Plant regions.
• Collaboratively and independently assist in the analysis of data through extracting and defining relevant information.
• Work with Business stakeholders to identify value added analytical opportunities
• Partner with plant teams to learn plant operations and provide insight for improvements through data models.
• Build structured coaching for plants to better understand data and use data to make decisions around improvements and troubleshooting
• Prepare timely reports to highlight discrepancies in a dataset and accordingly suggest business rules to manage them.
• Leverage statistical modeling and mathematical methods for projects and deep dive analysis
• Provide analytical expertise and develop data analysis tools to assist in understanding and solving business problems
• Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice

Manufacturing Data Reporting:

• Conduct ad-hoc analysis
• Work with plants and manufacturing improvement team to find new technologies for analytics and data science
• Build predictive models for manufacturing performance
• Update analytic models and visuals on a weekly basis
• Work to automate analytics reporting for weekly reports

Qualifications

Minimum Qualifications:

• 2 Years – Experience in Field OR similar manufacturing environment

• 2 Years – Experience in a Similar Position

• Intermediate proficiency with MS Excel

• experience may include a combination of work experience and education

Preferred Qualifications:

• 4 Years – Experience in Field or similar manufacturing environment

• 4 Years – Experience working in a Similar Position

• 2 Years – Experience managing people/projects

• experience may include a combination of work experience and education

Education

Minimum Required:

• Bachelor's Degree (Machine learning, Computer Science, Statistics, Engineering or similar.)

Preferred:

• Master's Degree (Machine learning, Computer Science, Statistics, Engineering or similar.)