Data Analyst

Phoenix, AZ, United States

Job Details: Job Description:  Are you interested in an opportunity to fundamentally change the way Intel runs its business and drive the transformation of Intel's supply chain? Do you excel in working across many functional areas with business stakeholders and technology partners to deliver innovative solutions for Intel?

The Corporate Planning Capabilities group has an exciting opportunity available to join a fun team of data enthusiasts as an experienced Program/Project Technical Data Analyst to help us move from a monolithic product and legacy master data solution to a more modern Product Master Data solution in support of the IDM2. 0 strategy. Responsible for helping with product/planning capabilities design and research to enable data product lines, while developing the system overall technical, business, and system frameworks that are necessary to enable Intel's product of today and tomorrow.

The Technical Data Analyst will be responsible for researching consumer requirements and recommending specific capabilities, applications, and process designs for large complex infrastructure solutions. In instances where the solution does not exist, you will be relied upon to define and invent unique solutions in support of the business.

Your responsibilities will include design, development, analysis, and deployment of an overall solution with supporting use cases, requirements, processes, and designs in support of Intel current and future product capabilities. Join us and be a key contributor on data definition/management, decisions related to projects, and participate as part of a cross functional group both collaboratively within Intel and other key business and technical partners.

The Technical Data Analyst will contribute to the design and development of Intel's product master data supply chain solution that supports our Global Supply Chain's strategic vision.

Responsibilities may include:

Operational oversight, data quality and day-to-day management of the Sales and Operations Planning, Sales and Operations Execution, Product Data Lifecycle (Create, Update, Delete, Publish, Data Quality) includes managing product data for historic, future, and LRP (Long Range Planning) Strategic horizons.

Become the go-to expert for anything in the Supply Chain Data for Planning, Procurement and Operations area.

Assures quality and trust in the data / data resources, creates / sustains standard definitions, and maintains consistent usage of data resources across the org.

Maintains SDR (Supply, Demand, Revenue) Product and planning BOM data in alignment with guidelines and governance.

Helps to define and implement decisions around attribute values, definitions, structures, etc. of product data. Influences and provide inputs to the standards, guidelines, and procedures.

Works to ensure end-to-end process data setups across multiple systems (including consuming systems) and drives integration of business data, functions, processes, and systems.

Partners with IT to provide inputs on better tools, data, and systems to improve the data steward processes.

Helps to define, document, and evolve the data stewardship process, evolution, and role.

Works in partnership with product data adjacencies to align on processes and capabilities for data from origination through product end of life.

Gathering requirements by performing stakeholder analyses, understanding key gaps, time objectives, user stories and business process integration alignment.

Communicating with project team (s) and subject matter experts or key partners to successfully collaborate cross-functionally, embodying a One Intel approach.

Performing fit-gap analyses to ensure effective integration of new application(s) into the business.

Communicating with project team and subject matter experts and key partners to successfully collaborate cross-functionally, embodying a One Intel approach.

Creating Change Impact Assessments, documenting current state and future state processes, and impact to current and end users.

The ideal candidate should exhibit the following behavioral traits:

Teamwork skills and skills to lead stakeholders across multiple business units and geographies to a single set of priorities.

Understand business processes and system functionality to design improved business solutions inclusive of both process and tools.

Problem-solving, tolerance of ambiguity, and project management.

Communication and customer engagement skills.

Experience in technology and manufacturing highly desirable.

In-depth knowledge of supply chain management.

In depth understanding of Intel's Product Portfolio (Silicon, Post Silicon, Platform)

Proficient knowledge of demand planning, supply planning, procurement, manufacturing processes and related Intel applications.

Proficient knowledge of Product Master Data, Item and Bill of Materials (BOM), Intel's reporting systems and Intel's financial costing systems (e.g., ICOST, SPEED, HANA, SAP) preferred.

A successful candidate will demonstrate:

In-depth knowledge of supply chain management.

Experience with demand planning, supply planning, procurement, manufacturing processes, and related Intel applications.

The skills to help create and sustain the product planning data foundation for multiple supply chain capabilities and planning processes.

The skills to provide expertise and guidance on database management/design to help drive the integration of business data, functions, and systems.

The skills to help establish standards, guidelines, procedures, and other infrastructure that is necessary to support the objective of data integration and product planning.

Become the go-to expert for anything in the SNOP and SNOE product data functional area.

Technical skills required for this position:

Develop advanced usage of Core Data / Reporting management tools.

Data Analysis - Perform analysis of data from multiple sources (Excel, Denodo/DaaS, Atlas, SAP, LRP, SPEED, Oracle PLM, MMBP DSS, Market Models, PowerPoints, Mfg. Lot Level Data etc.)

Expertise and/or understanding of dependent planning and execution systems. (e.g., LRP, Solvers, MAPPs, CIBR, SPAN, iCOST, etc.)

System analysis skills to comprehend how the systems are working, how data flows from source through business logic and how it moves to downstream systems.

Data analysis tools: Intermediate level skills with tools such as Excel, SQL, PowerBI, Python (Pandas knowledge is a plus).

Qualifications: You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This Position is not eligible for Intel immigration sponsorship.

Minimum Qualifications:

Bachelor's degree in supply chain, material science, marketing, data science, or any related field with 5+ years of relevant experience in data analysis, data governance or data processes in technology and manufacturing industries or 10+ years of relevant experience in data analysis, data governance or data processes in technology and manufacturing industries in lieu of the degree

Preferred Qualifications:

Master's degree in supply chain management, industrial engineering, logistics, and/or a related field of study with 3+ years of relevant experience like experience in technology and manufacturing.

Knowledge/expertise in product data, planning, and/or dependent supply chain processes and/or capabilities.

Product Roadmaps: LRP through branding and marketing.

Product architecture (product definition): LRP through EOL.

Finished Good Characteristics / Package and Die.

Knowledge of the Intel Product Life Cycle (iPLC) and the associated evolution of data from products conception through execution.

General knowledge of Item, Bom and Planning BOM for silicon product and post-silicon finished goods.

SNOP related processes (Demand, Supply, and Revenue planning).

SNOE related processes FG and Raw Materials Supply, Capacity Planning, Inventory Management, and Manufacturing Execution).

Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location:  US, Arizona, Phoenix Additional Locations: US, California, Folsom, US, Oregon, Hillsboro Business group: Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:  https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, California:$84,745.00-$127,117.00 S al ary range dependent on a number of factors including location and experience.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.