Manage multiple priorities and small projects; communicate status, risks, dependencies, and tradeoffs while delivering on agreed timelines.
Mentor and support junior team members through technical guidance, code and solution reviews, knowledge sharing, and development coaching.
Continuously improve analytics methods, development standards, automation, and capabilities across the organization.
An ideal candidate will have mathematical and statistical expertise, but also a natural curiosity and creative mindset (thinking out-of-the-box).
The successful candidate will work from International Paper’s Advanced Analytics Center (A2C), which is located in Atlanta’s Technology Square community.
The candidate will research and devise innovative statistical models for data analysis (focus: time series data). Integrate manufacturing data from a variety of sources such as Aveva PI Data Archive Tools, GE Proficy (Plant Applications), SQL databases, and SAP.
Continual learning on the technical and organizational aspects of the role are expected.
The Skills You Will Bring
Bachelor’s degree in statistics, applied mathematics, engineering, computer science, or other related quantitative fields. Master’s degree or Bachelor’s degree in data science (or analytics) is required.
Prior working experience with industrial Pulp & Paper containerboard manufacturing data is required.
Strong SQL skills, including the ability to write, troubleshoot, and optimize database queries.
Programming experience in Python, R, or a comparable language used for data analysis and analytics solution development.
Hands-on experience with data visualization and business intelligence tools such as Tableau or Power BI.
Working knowledge of data management, data cleaning, validation, reconciliation, and data-quality best practices.
Strong analytical thinking, structured problem-solving, communication, collaboration, organization, and time-management skills.
Ability to document technical solutions clearly and explain analytical findings to both technical and business audiences.
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.
Must be able to work independently with little supervision, perform in a team environment, as well as effectively communicate with others.
Willingness to travel as required, up to twenty-five (25) percent.
Competencies
Action Oriented
Customer Focus
Creativity
Leading by Influence
Technical Learning
Organizational Agility
Perseverance
Presentation &Communication Skills
