Copy of Niagara Bottling

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.

Consider applying here, if you want to: 

• Work in an entrepreneurial and dynamic environment with a chance to make an impact. 
• Develop lasting relationships with great people. 
• Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

Manufacturing Analytics Manager

Job Summary

The Manufacturing Analytics Manager is responsible for servicing Niagara Bottling plants and corporate teams through leading the analytics team in effective analysis and developing reporting tools to drive decisions and change. Through leveraging key partnerships, data mining, and data analysis, this role focuses on various projects within Niagara’s Manufacturing Intelligence teams.

Essential Functions

• Manufacturing:
• Responsible for publishing Manufacturing performance KPI reporting
• Tracking and trending of finished goods production (by line, by site, by region)
• Line and machine level performance from raw material to finish good
• Downtime & Line Utilization analysis
• Production Input Analysis focused on effective utilization
• Develop and grow data science and machine learning competencies
• Understanding both the short-term goals and long-term business strategy of the organization, in order to develop recommendations on how best to put data analytics to use.
• Produce understandable and actionable reports
• Keep up on data industry trends and the availability of upgrades; advising organizational leaders when changes need to be made.
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Recruit, train, develop and supervise analyst-level employees.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to key stakeholders.
• Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Cross departmental: 
• Oversee the tracking and development of Total Cost of Ownership models for plant assets
• Continued maintenance/monitoring of Manufacturing Financial KPIs in partnership with Finance Analytics – Manufacturing team (particularly R&M)
• Analysis of inventory accuracy/levels and determining appropriate actions to reduce spend and increase cost savings
• Inventory Planning Analysis for Finish Goods (MSA)
• Analysis and reporting of purchasing spend by site by all maintenance organizations on a regular basis (i.e. weekly, monthly, quarterly, etc.)

Team, Development, & Support

• Supervision & Development of the Manufacturing Analytics Team
• Collaboration with Corporate Niagara Teams (i.e. Supply Chain, IT, Legal, Finance, etc.) to ensure continued integration of data & technologies for Manufacturing
• Able to work with and influence individuals throughout the organization with/without direct authority
• Supervise the creation of new reporting tools to improve visibility and understanding of metrics, financials, inventory, procurement transactions, etc.
• Continuous & open communication with Sr. Manager of Data Intelligence, Technical Services Director and Managers regarding bottlenecks, obstacles, opportunities
• Understand that role and team are a service and support function for the manufacturing plants and other corporate teams
• Building relationships with team members across multiple departments 
• Look to streamline any existing processes, working with end users and other teams to execute and implement
• Responsible for additional ‘corporate’ level project(s) to develop and enhance effectiveness of the Manufacturing Analytics Team across the entire company. 
• This position requires up to 25% travel
• 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.

Qualifications

• Minimum Qualifications:
• 4 Years – Experience in Field or similar manufacturing environment
• 4 Years – Experience in Position
• 4 Years – Experience managing people/projects
• experience may include a combination of work experience and education
• Preferred Qualifications:
• 6 Years– Experience in Field or similar manufacturing environment
• 6 Years – Experience working in Position 
• 6 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.)
• Master's Degree (Machine learning, Computer Science, Statistics, Engineering or similar.)
• Preferred: 
• Master's Degree (Machine learning, Computer Science, Statistics, Engineering or similar.)

Competencies

Proficiency in, but not limited to:

• Microsoft Office Applications – Word, Excel, Access, PowerPoint, Outlook, Visio, etc.
• Oracle Business Systems
• Manufacturing Execution Systems
• Efficiency Improvement Analysis Applications
• New System Implementation & Administration
• Experience with modeling and analysis including machine learning, statistical analysis, operations research and management science and data mining.
• Experience with scripting languages - R, Python, SQL, etc.
• Able to translate data into recommendable actions to senior staff
• Able to develop a thorough understanding of existing processes to conceptualize process improvements and deliver tangible results
• Strong analytical and problem solving skills
• Project Management
• Self-Motivated with a proven record of taking the initiative
• Able to work with minimal supervision
• Detail-Oriented with Excellent Oral and Written Communication Skills
• Able to execute tasks in a very dynamic and ever-changing environment
• Exercise sound judgment and ability to work effectively with a diverse workforce

This position embodies the values of Niagara’s LIFE competency model, focusing on the following key drivers of success:

• Lead Like an Owner
• Manages a safe working environment, accurately documents safety related training, and effectively communicates safety incidents
• Provides strategic input and oversight to departmental projects
• Makes data driven decisions and develops sustainable solutions
• Skilled in reducing costs and managing timelines while prioritizing long run impact over short term wins
• Makes decisions by putting overall company success first before department/individual success
• Leads/facilitates discussions to get positive outcomes for the customer
• Makes strategic decisions which prioritize the needs of the customer over departmental/individual goals
• InnovACT
• Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste
• Creates, monitors, and responds to departmental performance metrics to drive continuous improvement
• Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change
• Find a Way
• Demonstrates ability to think analytically and synthesize complex information
• Effectively delegates technical tasks to subordinates
• Works effectively with departments, vendors, and customers to achieve organizational success
• Identifies opportunities for collaboration in strategic ways
• Empowered to be Great
• Makes hiring decisions primarily based on culture fit and attitude, and secondarily based on technical expertise
• Engages in long term talent planning
• Provides opportunities for the development of all direct reports
• Understands, identifies, and addresses conflict within own team and between teams
• Proven record of task and project execution from conception to completion

Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.