Business Intelligence Analyst at International Paper
Memphis, TN 38120, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Oct, 25

Salary

86800.0

Posted On

25 Jul, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Creativity, Statistics, Economics, Data Analytics, Presentation Skills, Analytical Skills, Perspectives

Industry

Marketing/Advertising/Sales

Description

THE QUALIFICATIONS, SKILLS AND KNOWLEDGE YOU WILL BRING:

  • Bachelor’s degree in Business, Data Analytics, Statistics, Economics, or a related field
  • 1 – 3 years of related experience required
  • Industry experience preferred
  • MBA preferred
  • Strong analytical skills with proficiency in data analysis tools (e.g., Excel, PowerBI)
  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively in a fast-paced environment

THE CULTURE YOU WILL EXPERIENCE:

International Paper promotes employee well-being by providing safe, caring and inclusive workplaces. We have team members all around the world with diverse backgrounds, experiences, and perspectives. These are our strengths. We are committed to creating a culture where all individuals are respected, valued, engaged and have an opportunity to do their best work every day. We invite you to bring your uniqueness, creativity, talents, experiences, and safety mindset to be a part of our increasingly inclusive and diverse culture.

Responsibilities
  • Provide regular competitive and market intelligence updates and insights to the commercial team as part of monthly market view activities
  • Collect, analyze, and interpret complex pulp and absorbent hygiene product datasets
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs)
  • Utilize advanced data analytics tools and software to enhance data processing and analysis capabilities
  • Work closely with sales, marketing, and operations teams to align business strategies with data insights
  • Foster a culture of data-driven decision-making within the organizatio
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