Global Supply Chain Rotational Program, Business Intelligence Analyst I, New College Grad- Bachelor's (Austin TX)

Applied Materials•Austin, TX

11d•Onsite

About The Position

Through the 30-month Supply Chain Undergraduate Rotational Development Program, you will primarily function as a Business Intelligence Analyst while also rotating through Project/Program Management and Supplier Account Management over the course of 12 months. After the initial 12 months of rotating, you continue on to a “Final Placement” role as a Business Intelligence Analyst, further building upon the skills learned in the rotations. Assignment of Final Placement role will be based on business need, role availability, and the individual assessments of candidate’s performance and skills displayed during their rotations. In the program, participants develop and refine the technical and business skills required to be successful in the Supply Chain organization. You will experience a blended learning environment which includes mentorship, job shadowing, and expanded networking opportunities with leaders and within our Employee Resource Groups, such as the Young Professionals Network (YPN). Participants will have the opportunity to gain high level visibility and create significant impact within a global manufacturing organization.

Requirements

This is a 24-month rotational program. Candidates should be prepared to complete the full program.
Graduating with a Bachelor’s degree in Business Analytics, Data Science, Industrial Distribution, Industrial Engineering, Management Information Systems, or related fields
Good academic standing with a preferred GPA of 3.0 or above on a 4.0 scale
Proficiency in developing effective executive reports and presentations
Proficiency in Microsoft office tools
Excellent listening, writing, quantitative, qualitative and oral communication skills
Ability to handle multiple assignments concurrently
Strong interpersonal skills with the ability to interact cross-organizationally
Ability to problem-solve creatively and analytically
Commitment to quality and customer satisfaction
Detail-oriented; ability to multi-task; deadline-oriented
Flexible and adaptable mindset
Thrive in a results-driven culture

Nice To Haves

Preferred technical skills: Data Analytics, Statistics, Machine Learning, Databricks, Tableau, R, SAS, SQL, Python

Responsibilities

Assisting with development, alignment, and implementation of commodity strategies across Applied Business Units.
Driving resolution to systematic supply chain issues affecting quality, cost, delivery or lead-time.
Assisting in developing and presenting high-level cost reduction opportunities.
Presenting sourcing, cost, lead time reduction, capacity initiatives to key stakeholders.
Forecasting and communicating engineering, materials, and manufacturing requirements to suppliers.
Providing critical input to outsourcing decisions by performing Make vs. Buy analysis.
Using existing BKMs to develop well defined reports / solutions using Databricks, SQL and Tableau
Participates in the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. used to drive key business decisions.
Works within controls to ensure the accuracy, timeliness and confidentiality of all managerial and business intelligence reports, views, dashboards, and user data.
Implements new business reports within the established reporting framework, policies and procedures.
Trains and supports end users on accessing of reports.
Analyzes and interprets data and business intelligence reports.
Works with others in the development of data warehouses and other data sources to support managerial and business intelligence reporting needs.
Works with business intelligence manager and other staff to assess various reporting needs.
Analyzes reporting needs and requirements, assesses current reporting in the context of strategic goals and devise plans for delivering the most appropriate reporting solutions to users.
Educates & trains user community on the potential uses of the business intelligence system
Extracts financial, statistical and other data from various information systems and other sources.
Designs and develops recurring and ad-hoc business intelligence solutions such as reports, cubes, and dashboards, using industry best practices for presentation, efficiency, and user friendliness.
Designs reports to aid in the efficient assimilation of the data by users by engaging exception reporting.