Enterprise Operations & Services Immersion Program Member

Job description

The IBM Enterprise Operations & Services team is part of IBM's Finance and Operations organization and are seeking qualified Data Analytics, Industrial Engineering, Computer Science, Supply Chain, Real Estate and/or Business Administration candidates to participate in our Immersion Program based in Research Triangle Park, NC.

If you are ready to begin your professional career in an exciting business environment with a well respected and innovative company please submit your resume and application.
Candidates selected will begin a 2 year program which includes 1 year rotations through 2 different business segments in Enterprise Operations & Services. Some of the areas we support include: Analytics, Quote to Cash, Strategy, Operations, Asset Management, Transformation, Software Product Introduction, Real Estate Strategy & Operations, Procurement and more.

Responsibilities may include business planning, process and systems optimization, database management in excel, analysis and interpretation of complex data, management and measurement of supply chain activities, demand/supply planning, interface to manufacturing/logistics teams and other activities required to support IBM's software, services, solutions and hardware offerings.

The program provides opportunities including but not limited to Executive Round Tables, Volunteering, Personal Finance Classes, Socials, Mentoring, External Badges, and Leadership Training. We are looking for driven candidates who excel with interpersonal skills, communication, multitasking, organizational skills, technical skills, collaboration, problem-solving abilities, adaptability and dependability.

Auto req ID

188111BR
Required Education

High School Diploma/GED
Role ( Job Role )

Shared Services Professional
State / Province

NORTH CAROLINA
Primary job category

Enterprise Operations
Company

(0147) International Business Machines Corporation
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

Up to 10% or 1 day a week
IBM Business Group

F&O
Preferred Education

Bachelor's Degree
City / Township / Village

RESEARCH TRIANGLE PARK
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  Knowledge of designing, building, and testing statistical predictive models from large data sets using SAS, SPSS, Python, R or similar technologies.
·  Familiarity with Agile methodologies and principles, experience in an Agile team.
·  Knowledge of applying advanced analytic methods to diverse large data sets to derive valuable insights, predictions and performance measures.
·  Familiarity with machine learning techniques.
·  Real-world problem solving experience & discovery skills.
·  Excellent verbal and written communication skills.
·  Demonstrated ability to work in cross-functional teams.
·  Excellent Excel, analytical, modelling, and due diligence skills.
·  Proven ability to multi-task without sacrificing quality or deadlines on individual projects. (Requires experience working on multiple projects simultaneously.)
·  Self-directed, detail-oriented and a team player.
·  Strong presentation/PowerPoint skills
Country/Region

United States
Preferred Technical and Professional Experience

·  Experience in performing and interpreting business cases and financial analysis.
·  Adobe Suite experience, notably illustrator and photoshop.
·  Strategic communication & content writing.
·  Previous experience in application or implementation support domain.
·  Previous experience in shared services or process outsourcing is a benefit.
·  Lean Six Sigma or other process improvement methods and practices.
·  Data processing computer language experience like Python/R/SQL/Java etc.
·  Experience in applying advanced analytic methods to diverse large data sets to derive valuable insights, predictions and performance measures.
·  Experience in designing, building, and testing statistical predictive models from large data sets using SAS, SPSS, R or similar technologies.
·  Understanding of applications and tools used at IBM.
Secondary Job Category

Business Operations
Eligibility Requirements

None

Position Type

Early Professional
New Collar Role

Yes