Manufacturing Data Analyst

Position Title:

Manufacturing Data Analyst, Full-time

PL7

Category/Shift:

Full-time, Salaried, Exempt

Physical Location:

Advanced Analytics Center (A2C)

75 5th Street NW Suite 825

Atlanta, GA 30308

Hybrid work concept currently – location Metro Atlanta. Flexible with in office and remote working. Driving commute to office when needed, in office work is encouraged but not required.

Travel is estimated to be approx. 25-30% on average with potentially higher travel (40-50%) during the onboarding, training and as required for business reasons.

The Job You Will Perform:

• Work with a team of data analysts at IP’s new Advanced Analytic Center in Atlanta, GA
• Assist with Mill of the Future applications and implementation projects
• Perform variety of data analysis projects using statistical techniques for both the enterprise and for individual facilities and/or departments
• Create dashboards to provide visual reports for end users
• Develop and implement databases and data collection systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Conduct multivariate analyses
• Work with management to prioritize information needs for IP business groups
• Identify and define process improvement opportunities for the mill system and other groups
• Configure, implement, and operationalize advanced analytics tools for industrial manufacturing processes. Such tools include, for example, Aveva OSISoft PI Vision & PI Asset Framework, Braincube, MATLAB, Minitab, Salford Tree-net, and SIMCA multivariate analytics.
• Integration of data from various sources such as PI historian, GE Plant Applications (Proficy) database, and SAP.
• Collaborate with a variety of internal stakeholders including mill process engineers, Manufacturing Excellence Managers, Business Unit Managers, Area Process Managers, and Technology Subject Matter Experts (SMEs) to understand the context and the business need to maintain the quality of our products, improve the reliability of our plants, improve productivity, and lower production costs.
• Build pro-active and constructive relationships with manufacturing sites and with Technology subject matter experts (SMEs). Excellence in customer service is expected.
• Model the manufacturing process using advanced statistical methods to minimize manufacturing cost via cost modeling of goods, people, and equipment (continuous improvement analytics)
• Continual learning on the technical and organizational aspects of the role are expected.
• Develop as a technical subject matter expert in manufacturing data analytics.

The Skills You Will Bring:

• College degree (B.S.) by August 2023 in Engineering (esp. Chemical, Mechanical, or Electrical Engineering); Data Analytics, Data Science, Applied Mathematics, Statistics or similar majors. Paper Science related curriculums preferred.
• Passion/certification in analytics
• Focus on creativity, dealing with ambiguity, technical skills
• Internship or co-op in a paper mill or similar industrial manufacturing facility is desirable.
• Prior working knowledge and experience within continuous manufacturing operations such as pulp & paper, power/utilities, chemicals, or refineries are preferred.
• Exposure to Lean/Six Sigma principles is a plus.
• Strong analytical and problem-solving skills
• Ability to spot trends and patterns
• Able to learn on the fly, adapt in a highly dynamic environment, and effectively cope with and manage change
• Highly motivated, self-starter, results-driven individual who can also perform well in a team setting
• Excellent communication (written and verbal) and interpersonal skills, including active listening
• The candidate must demonstrate action oriented with strong problem solving and collaboration skills with experience working in a matrix environment
• The candidate must demonstrate a passion for continual learning and acceptance of working within a highly innovative, less-structured, environment where self-directed research and prototyping may be required.
• Organizational agility
• Comfort with all levels of employees, including peers, engineers, contractors, hourly operators, and management
• Cumulative GPA 2.8
• Familiarity with analytic, machine learning, and visualization tools such as Power BI, Matlab, Minitab, SQL, Microsoft Excel, Tableau, Advanced Pattern Recognition (APR), PI Data Archive Tools, GE Proficy, etc…Open to relocation now and in the future
• Must have access to reliable transportation