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Manufacturing Data Analyst

Atlanta, Georgia

International Paper (NYSE: IP) is a leading global supplier of renewable fiber-based products. We produce corrugated packaging products that protect and promote goods, and enable worldwide commerce, and pulp for diapers, tissue and other personal care products that promote health and wellness. Headquartered in Memphis, Tenn., we employ approximately 38,000 colleagues globally. We serve customers worldwide, with manufacturing operations in North America, Latin America, North Africa and Europe. Net sales for 2021 were $19.4 billion. In Russia, we have a 50/50 joint venture, Ilim Group, the country's largest integrated manufacturer of pulp and paper. Additional information can be found by visiting

Manufacturing Data Analyst  

The primary role for a Manufacturing Data Analyst is to reduce manufacturing cost, and improve product quality across the enterprise by applying advanced analytical tools and techniques.   The analyst will collaborate with subject matter experts (SME’s), project teams, manufacturing excellence leaders, and other leaders within the mills.  

The Manufacturing Data Analyst is a key member of the Remote Analytics Team – part of the International Paper Global Manufacturing Technology group.  The Remote Analytics Team is a cross-functional team focused on data, advanced analytics, and improving company cost-competiveness thru non-capital opportunities.  The successful analyst will work from the Advanced Analytics Center, located in Atlanta’s Technology Square.   This position offers “Hybrid” working arrangement – The hybrid-working concept includes a mix of working from a home or from the Atlanta Tech Square office.  Therefore, the home office will need to be within a typical commuting distance to the Atlanta Tech Square Office.

Another key role for a Manufacturing Data Analyst is to continuously improve the remote troubleshooting and process optimization capabilities of International Papers Global Manufacturing Technology SMEs by evaluating, identifying, and then proliferating the use of new analytical tools and related emerging technologies.

Key Accountabilities:

  • 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.

Knowledge and Experience:

A Manufacturing Data Analyst is a fully qualified practitioner in the area of data science and analytics.  The individual has experience analyzing complex industrial processes, and demonstrated positive results. He/she will provide basic and fundamental support in the area of data science and analytics.  He/she can provide facility or project support in area of expertise, but does not need to be generally recognized as a subject matter expert within the organization. Recommendations beyond basics will generally be reviewed by a higher-level SME prior to finalization.  

  • Bachelor’s Degree in Engineering, Computer Science, Data Science or other related quantitative fields. 
  • Prior working knowledge and experience within continuous manufacturing operations such as pulp & paper, power/utilities, chemicals, or refineries are preferred.  
  • The candidate should possess at least 3-5 years of relevant work experience with demonstrated results.
  • The candidate must have experience using one or more advanced analytics / statistical tools, such as R, Python, Braincube, MATLAB, Minitab, Salford Tree-net, or SIMCA multivariate analysis.
  • 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 and interpersonal skills are essential to be successful as a Manufacturing Data Analyst.
  • Strong interpersonal and verbal/written communication skills


  • Operations and/or engineering experience in pulp & paper manufacturing
  • Lean Six Sigma training with a Green or Black Belt Certification.
  • Functional expertise with Power BI, PI Asset Framework, Braincube, or SIMCA

Competencies (competitive edge profile):

  • Creativity
  • Informing
  • Organizational agility
  • Personal learning
  • Presentation skills
  • Dealing with ambiguity
  • Technical learning
  • Customer focus
  • Interpersonal savvy
  • Drive for results

Travel expectations: 

Developing relationships with staff at our plant sites will enable the Manufacturing Data Analyst to become an integrated member of the mill manufacturing excellence team.  Therefore, travel to sites will be required periodically.  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.

For immediate consideration, we encourage you to click the link below to apply to the position.

International Paper is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

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